Note
Go to the end to download the full example code. or to run this example in your browser via Binder
Spike Sorting#
Note
This is a long-form tutorial on sorting. See here for a quick how-to.
Running Sorting after Preprocessing#
Spike sorting can be run on preprocessed data, even without saving to disk,
using the spikewrap.Session.sort function.
This wraps SpikeInterface’s, module. The list of available sorters can be found in their documentation.
For example, to run spike sorting after preprocessing (without saving the preprocessed data to disk):
import spikewrap as sw
session = sw.Session(
subject_path=sw.get_example_data_path() / "rawdata" / "sub-001",
session_name="ses-001",
file_format="spikeglx", # or "openephys"
run_names="all"
)
session.preprocess(
configs="neuropixels+mountainsort5",
per_shank=False,
concat_runs=True
)
session.sort(
"neuropixels+mountainsort5",
run_sorter_method="local",
per_shank=True,
concat_runs=False,
)
The preprocessing options are: {
"1": [
"phase_shift",
{}
],
"2": [
"bandpass_filter",
{
"freq_max": 6000,
"freq_min": 300
}
],
"3": [
"common_reference",
{
"operator": "median",
"reference": "global"
}
]
}
/home/runner/work/spikewrap/spikewrap/spikewrap/process/_loading.py:147: UserWarning: The sessions or runs provided for are not in creation datetime order.
They will be concatenated in the order provided, as:
['run-002_g0_imec0', 'run-001_g0_imec0'].
warnings.warn(
Loading data from path: /home/runner/work/spikewrap/spikewrap/spikewrap/examples/example_tiny_data/spikeglx/rawdata/sub-001/ses-001/ephys/run-002_g0_imec0
Loading data from path: /home/runner/work/spikewrap/spikewrap/spikewrap/examples/example_tiny_data/spikeglx/rawdata/sub-001/ses-001/ephys/run-001_g0_imec0
Concatenating raw recordings in the following order:['run-002_g0_imec0', 'run-001_g0_imec0']
Warning! The recording is already filtered, but mountainsort5 filter is enabled
filtering
whitening
write_binary_recording
engine=process - n_jobs=4 - samples_per_chunk=30,000 - chunk_memory=21.97 MiB - total_memory=87.89 MiB - chunk_duration=1.00s
write_binary_recording (workers: 1 processes): 0%| | 0/1 [00:00<?, ?it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00, 1.02it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00, 1.02it/s]
Using training recording of duration 300 sec with the sampling mode uniform
*** MS5 Elapsed time for SCHEME2 get_sampled_recording_for_training: 0.000 seconds ***
Running phase 1 sorting
Number of channels: 192
Number of timepoints: 30000
Sampling frequency: 30000.0 Hz
Channel 0: [250. 0.]
Channel 1: [282. 0.]
Channel 2: [250. 15.]
Channel 3: [282. 15.]
Channel 4: [250. 30.]
Channel 5: [282. 30.]
Channel 6: [250. 45.]
Channel 7: [282. 45.]
Channel 8: [250. 60.]
Channel 9: [282. 60.]
Channel 10: [250. 75.]
Channel 11: [282. 75.]
Channel 12: [250. 90.]
Channel 13: [282. 90.]
Channel 14: [250. 105.]
Channel 15: [282. 105.]
Channel 16: [250. 120.]
Channel 17: [282. 120.]
Channel 18: [250. 135.]
Channel 19: [282. 135.]
Channel 20: [250. 150.]
Channel 21: [282. 150.]
Channel 22: [250. 165.]
Channel 23: [282. 165.]
Channel 24: [250. 180.]
Channel 25: [282. 180.]
Channel 26: [250. 195.]
Channel 27: [282. 195.]
Channel 28: [250. 210.]
Channel 29: [282. 210.]
Channel 30: [250. 225.]
Channel 31: [282. 225.]
Channel 32: [250. 240.]
Channel 33: [282. 240.]
Channel 34: [250. 255.]
Channel 35: [282. 255.]
Channel 36: [250. 270.]
Channel 37: [282. 270.]
Channel 38: [250. 285.]
Channel 39: [282. 285.]
Channel 40: [250. 300.]
Channel 41: [282. 300.]
Channel 42: [250. 315.]
Channel 43: [282. 315.]
Channel 44: [250. 330.]
Channel 45: [282. 330.]
Channel 46: [250. 345.]
Channel 47: [282. 345.]
Channel 48: [250. 360.]
Channel 49: [282. 360.]
Channel 50: [250. 375.]
Channel 51: [282. 375.]
Channel 52: [250. 390.]
Channel 53: [282. 390.]
Channel 54: [250. 405.]
Channel 55: [282. 405.]
Channel 56: [250. 420.]
Channel 57: [282. 420.]
Channel 58: [250. 435.]
Channel 59: [282. 435.]
Channel 60: [250. 450.]
Channel 61: [282. 450.]
Channel 62: [250. 465.]
Channel 63: [282. 465.]
Channel 64: [250. 480.]
Channel 65: [282. 480.]
Channel 66: [250. 495.]
Channel 67: [282. 495.]
Channel 68: [250. 510.]
Channel 69: [282. 510.]
Channel 70: [250. 525.]
Channel 71: [282. 525.]
Channel 72: [250. 540.]
Channel 73: [282. 540.]
Channel 74: [250. 555.]
Channel 75: [282. 555.]
Channel 76: [250. 570.]
Channel 77: [282. 570.]
Channel 78: [250. 585.]
Channel 79: [282. 585.]
Channel 80: [250. 600.]
Channel 81: [282. 600.]
Channel 82: [250. 615.]
Channel 83: [282. 615.]
Channel 84: [250. 630.]
Channel 85: [282. 630.]
Channel 86: [250. 645.]
Channel 87: [282. 645.]
Channel 88: [250. 660.]
Channel 89: [282. 660.]
Channel 90: [250. 675.]
Channel 91: [282. 675.]
Channel 92: [250. 690.]
Channel 93: [282. 690.]
Channel 94: [250. 705.]
Channel 95: [282. 705.]
Channel 96: [250. 720.]
Channel 97: [282. 720.]
Channel 98: [250. 735.]
Channel 99: [282. 735.]
Channel 100: [250. 750.]
Channel 101: [282. 750.]
Channel 102: [250. 765.]
Channel 103: [282. 765.]
Channel 104: [250. 780.]
Channel 105: [282. 780.]
Channel 106: [250. 795.]
Channel 107: [282. 795.]
Channel 108: [250. 810.]
Channel 109: [282. 810.]
Channel 110: [250. 825.]
Channel 111: [282. 825.]
Channel 112: [250. 840.]
Channel 113: [282. 840.]
Channel 114: [250. 855.]
Channel 115: [282. 855.]
Channel 116: [250. 870.]
Channel 117: [282. 870.]
Channel 118: [250. 885.]
Channel 119: [282. 885.]
Channel 120: [250. 900.]
Channel 121: [282. 900.]
Channel 122: [250. 915.]
Channel 123: [282. 915.]
Channel 124: [250. 930.]
Channel 125: [282. 930.]
Channel 126: [250. 945.]
Channel 127: [282. 945.]
Channel 128: [250. 960.]
Channel 129: [282. 960.]
Channel 130: [250. 975.]
Channel 131: [282. 975.]
Channel 132: [250. 990.]
Channel 133: [282. 990.]
Channel 134: [ 250. 1005.]
Channel 135: [ 282. 1005.]
Channel 136: [ 250. 1020.]
Channel 137: [ 282. 1020.]
Channel 138: [ 250. 1035.]
Channel 139: [ 282. 1035.]
Channel 140: [ 250. 1050.]
Channel 141: [ 282. 1050.]
Channel 142: [ 250. 1065.]
Channel 143: [ 282. 1065.]
Channel 144: [ 250. 1080.]
Channel 145: [ 282. 1080.]
Channel 146: [ 250. 1095.]
Channel 147: [ 282. 1095.]
Channel 148: [ 250. 1110.]
Channel 149: [ 282. 1110.]
Channel 150: [ 250. 1125.]
Channel 151: [ 282. 1125.]
Channel 152: [ 250. 1140.]
Channel 153: [ 282. 1140.]
Channel 154: [ 250. 1155.]
Channel 155: [ 282. 1155.]
Channel 156: [ 250. 1170.]
Channel 157: [ 282. 1170.]
Channel 158: [ 250. 1185.]
Channel 159: [ 282. 1185.]
Channel 160: [ 250. 1200.]
Channel 161: [ 282. 1200.]
Channel 162: [ 250. 1215.]
Channel 163: [ 282. 1215.]
Channel 164: [ 250. 1230.]
Channel 165: [ 282. 1230.]
Channel 166: [ 250. 1245.]
Channel 167: [ 282. 1245.]
Channel 168: [ 250. 1260.]
Channel 169: [ 282. 1260.]
Channel 170: [ 250. 1275.]
Channel 171: [ 282. 1275.]
Channel 172: [ 250. 1290.]
Channel 173: [ 282. 1290.]
Channel 174: [ 250. 1305.]
Channel 175: [ 282. 1305.]
Channel 176: [ 250. 1320.]
Channel 177: [ 282. 1320.]
Channel 178: [ 250. 1335.]
Channel 179: [ 282. 1335.]
Channel 180: [ 250. 1350.]
Channel 181: [ 282. 1350.]
Channel 182: [ 250. 1365.]
Channel 183: [ 282. 1365.]
Channel 184: [ 250. 1380.]
Channel 185: [ 282. 1380.]
Channel 186: [ 250. 1395.]
Channel 187: [ 282. 1395.]
Channel 188: [ 250. 1410.]
Channel 189: [ 282. 1410.]
Channel 190: [ 250. 1425.]
Channel 191: [ 282. 1425.]
Loading traces
*** MS5 Elapsed time for load_traces: 0.000 seconds ***
Detecting spikes
Adjacency for detect spikes with channel radius 200
[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53], [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55], [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55], [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63], [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65], [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65], [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67], [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67], [16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69], [16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69], [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71], [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71], [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73], [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73], [22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75], [22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 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168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191]]
m = 0 (nbhd size: 28)
m = 1 (nbhd size: 28)
m = 2 (nbhd size: 30)
m = 3 (nbhd size: 30)
m = 4 (nbhd size: 32)
m = 5 (nbhd size: 32)
m = 6 (nbhd size: 34)
m = 7 (nbhd size: 34)
m = 8 (nbhd size: 36)
m = 9 (nbhd size: 36)
m = 10 (nbhd size: 38)
m = 11 (nbhd size: 38)
m = 12 (nbhd size: 40)
m = 13 (nbhd size: 40)
m = 14 (nbhd size: 42)
m = 15 (nbhd size: 42)
m = 16 (nbhd size: 44)
m = 17 (nbhd size: 44)
m = 18 (nbhd size: 46)
m = 19 (nbhd size: 46)
m = 20 (nbhd size: 48)
m = 21 (nbhd size: 48)
m = 22 (nbhd size: 50)
m = 23 (nbhd size: 50)
m = 24 (nbhd size: 52)
m = 25 (nbhd size: 52)
m = 26 (nbhd size: 54)
m = 27 (nbhd size: 54)
m = 28 (nbhd size: 54)
m = 29 (nbhd size: 54)
m = 30 (nbhd size: 54)
m = 31 (nbhd size: 54)
m = 32 (nbhd size: 54)
m = 33 (nbhd size: 54)
m = 34 (nbhd size: 54)
m = 35 (nbhd size: 54)
m = 36 (nbhd size: 54)
m = 37 (nbhd size: 54)
m = 38 (nbhd size: 54)
m = 39 (nbhd size: 54)
m = 40 (nbhd size: 54)
m = 41 (nbhd size: 54)
m = 42 (nbhd size: 54)
m = 43 (nbhd size: 54)
m = 44 (nbhd size: 54)
m = 45 (nbhd size: 54)
m = 46 (nbhd size: 54)
m = 47 (nbhd size: 54)
m = 48 (nbhd size: 54)
m = 49 (nbhd size: 54)
m = 50 (nbhd size: 54)
m = 51 (nbhd size: 54)
m = 52 (nbhd size: 54)
m = 53 (nbhd size: 54)
m = 54 (nbhd size: 54)
m = 55 (nbhd size: 54)
m = 56 (nbhd size: 54)
m = 57 (nbhd size: 54)
m = 58 (nbhd size: 54)
m = 59 (nbhd size: 54)
m = 60 (nbhd size: 54)
m = 61 (nbhd size: 54)
m = 62 (nbhd size: 54)
m = 63 (nbhd size: 54)
m = 64 (nbhd size: 54)
m = 65 (nbhd size: 54)
m = 66 (nbhd size: 54)
m = 67 (nbhd size: 54)
m = 68 (nbhd size: 54)
m = 69 (nbhd size: 54)
m = 70 (nbhd size: 54)
m = 71 (nbhd size: 54)
m = 72 (nbhd size: 54)
m = 73 (nbhd size: 54)
m = 74 (nbhd size: 54)
m = 75 (nbhd size: 54)
m = 76 (nbhd size: 54)
m = 77 (nbhd size: 54)
m = 78 (nbhd size: 54)
m = 79 (nbhd size: 54)
m = 80 (nbhd size: 54)
m = 81 (nbhd size: 54)
m = 82 (nbhd size: 54)
m = 83 (nbhd size: 54)
m = 84 (nbhd size: 54)
m = 85 (nbhd size: 54)
m = 86 (nbhd size: 54)
m = 87 (nbhd size: 54)
m = 88 (nbhd size: 54)
m = 89 (nbhd size: 54)
m = 90 (nbhd size: 54)
m = 91 (nbhd size: 54)
m = 92 (nbhd size: 54)
m = 93 (nbhd size: 54)
m = 94 (nbhd size: 54)
m = 95 (nbhd size: 54)
m = 96 (nbhd size: 54)
m = 97 (nbhd size: 54)
m = 98 (nbhd size: 54)
m = 99 (nbhd size: 54)
m = 100 (nbhd size: 54)
m = 101 (nbhd size: 54)
m = 102 (nbhd size: 54)
m = 103 (nbhd size: 54)
m = 104 (nbhd size: 54)
m = 105 (nbhd size: 54)
m = 106 (nbhd size: 54)
m = 107 (nbhd size: 54)
m = 108 (nbhd size: 54)
m = 109 (nbhd size: 54)
m = 110 (nbhd size: 54)
m = 111 (nbhd size: 54)
m = 112 (nbhd size: 54)
m = 113 (nbhd size: 54)
m = 114 (nbhd size: 54)
m = 115 (nbhd size: 54)
m = 116 (nbhd size: 54)
m = 117 (nbhd size: 54)
m = 118 (nbhd size: 54)
m = 119 (nbhd size: 54)
m = 120 (nbhd size: 54)
m = 121 (nbhd size: 54)
m = 122 (nbhd size: 54)
m = 123 (nbhd size: 54)
m = 124 (nbhd size: 54)
m = 125 (nbhd size: 54)
m = 126 (nbhd size: 54)
m = 127 (nbhd size: 54)
m = 128 (nbhd size: 54)
m = 129 (nbhd size: 54)
m = 130 (nbhd size: 54)
m = 131 (nbhd size: 54)
m = 132 (nbhd size: 54)
m = 133 (nbhd size: 54)
m = 134 (nbhd size: 54)
m = 135 (nbhd size: 54)
m = 136 (nbhd size: 54)
m = 137 (nbhd size: 54)
m = 138 (nbhd size: 54)
m = 139 (nbhd size: 54)
m = 140 (nbhd size: 54)
m = 141 (nbhd size: 54)
m = 142 (nbhd size: 54)
m = 143 (nbhd size: 54)
m = 144 (nbhd size: 54)
m = 145 (nbhd size: 54)
m = 146 (nbhd size: 54)
m = 147 (nbhd size: 54)
m = 148 (nbhd size: 54)
m = 149 (nbhd size: 54)
m = 150 (nbhd size: 54)
m = 151 (nbhd size: 54)
m = 152 (nbhd size: 54)
m = 153 (nbhd size: 54)
m = 154 (nbhd size: 54)
m = 155 (nbhd size: 54)
m = 156 (nbhd size: 54)
m = 157 (nbhd size: 54)
m = 158 (nbhd size: 54)
m = 159 (nbhd size: 54)
m = 160 (nbhd size: 54)
m = 161 (nbhd size: 54)
m = 162 (nbhd size: 54)
m = 163 (nbhd size: 54)
m = 164 (nbhd size: 54)
m = 165 (nbhd size: 54)
m = 166 (nbhd size: 52)
m = 167 (nbhd size: 52)
m = 168 (nbhd size: 50)
m = 169 (nbhd size: 50)
m = 170 (nbhd size: 48)
m = 171 (nbhd size: 48)
m = 172 (nbhd size: 46)
m = 173 (nbhd size: 46)
m = 174 (nbhd size: 44)
m = 175 (nbhd size: 44)
m = 176 (nbhd size: 42)
m = 177 (nbhd size: 42)
m = 178 (nbhd size: 40)
m = 179 (nbhd size: 40)
m = 180 (nbhd size: 38)
m = 181 (nbhd size: 38)
m = 182 (nbhd size: 36)
m = 183 (nbhd size: 36)
m = 184 (nbhd size: 34)
m = 185 (nbhd size: 34)
m = 186 (nbhd size: 32)
m = 187 (nbhd size: 32)
m = 188 (nbhd size: 30)
m = 189 (nbhd size: 30)
m = 190 (nbhd size: 28)
m = 191 (nbhd size: 28)
Detected 126 spikes
*** MS5 Elapsed time for detect_spikes: 0.202 seconds ***
Removing duplicate times
*** MS5 Elapsed time for remove_duplicate_times: 0.000 seconds ***
Extracting 124 snippets
*** MS5 Elapsed time for extract_snippets: 0.184 seconds ***
Computing PCA features with npca=576
*** MS5 Elapsed time for compute_pca_features: 0.060 seconds ***
Isosplit6 clustering with npca_per_subdivision=10
Found 5 clusters
*** MS5 Elapsed time for isosplit6_subdivision_method: 0.022 seconds ***
Computing templates
*** MS5 Elapsed time for compute_templates: 0.013 seconds ***
Determining optimal alignment of templates
Template alignment converged.
Align templates offsets: [ 0 -7 2 -13 0]
*** MS5 Elapsed time for align_templates: 0.026 seconds ***
Aligning snippets
*** MS5 Elapsed time for align_snippets: 0.001 seconds ***
Clustering aligned snippets
Computing PCA features with npca=576
*** MS5 Elapsed time for compute_pca_features: 0.057 seconds ***
Isosplit6 clustering with npca_per_subdivision=10
*** MS5 Elapsed time for isosplit6_subdivision_method: 0.018 seconds ***
Found 5 clusters after alignment
Computing templates
*** MS5 Elapsed time for compute_templates: 0.012 seconds ***
Offsetting times to peak
Offsets to peak: [ -3 2 0 -13 0]
*** MS5 Elapsed time for determine_offsets_to_peak: 0.000 seconds ***
Sorting times
*** MS5 Elapsed time for sorting times: 0.000 seconds ***
Removing out of bounds times
*** MS5 Elapsed time for removing out of bounds times: 0.000 seconds ***
Reordering units
*** MS5 Elapsed time for reordering units: 0.000 seconds ***
Creating sorting object
*** MS5 Elapsed time for creating sorting object: 0.000 seconds ***
*** MS5 Elapsed time for SCHEME2 sorting_scheme1: 0.613 seconds ***
*** MS5 Elapsed time for SCHEME2 get_times_labels_from_sorting: 0.000 seconds ***
Loading training traces
*** MS5 Elapsed time for SCHEME2 training_recording.get_traces: 0.001 seconds ***
Training classifier
*** MS5 Elapsed time for SCHEME2 training classifier step 1: 0.562 seconds ***
Adding snippets from phase 1 sorting
Fitting models
*** MS5 Elapsed time for SCHEME2 fitting models: 38.765 seconds ***
Chunk size: 17.361133333333335 sec
Time chunk 1 of 1
Loading traces
*** MS5 Elapsed time for SCHEME2 loading traces: 0.000 seconds ***
Detecting spikes
Adjacency for detect spikes with channel radius 50
[[0, 1, 2, 3, 4, 5, 6], [0, 1, 2, 3, 4, 5, 7], [0, 1, 2, 3, 4, 5, 6, 7, 8], [0, 1, 2, 3, 4, 5, 6, 7, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11], [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13], [2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15], [4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], [6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], [8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21], [10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22], [11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23], [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25], [14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27], [16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28], [17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29], [18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30], [19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31], [20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32], [21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33], [22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34], [23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35], [24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36], [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37], [26, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38], [27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39], [28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], [29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41], [30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42], [31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43], [32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45], [34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46], [35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47], [36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48], [37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49], [38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51], [40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52], [41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53], [42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54], [43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55], [44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], [45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57], [46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58], [47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59], [48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], [49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61], [50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], [51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63], [52, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64], [53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65], [54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66], [55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 67], [56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68], [57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 69], [58, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70], [59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71], [60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72], [61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73], [62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74], [63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75], [64, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76], [65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 77], [66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78], [67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79], [68, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80], [69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 81], [70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82], [71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83], [72, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84], [73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85], [74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86], [75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87], [76, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88], [77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89], [78, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90], [79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91], [80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92], [81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 93], [82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94], [83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95], [84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96], [85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 97], [86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98], [87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 99], [88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100], [89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101], [90, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102], [91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103], [92, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104], [93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 105], [94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106], [95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107], [96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108], [97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109], [98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110], [99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 111], [100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112], [101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113], [102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114], [103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 115], [104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116], [105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117], [106, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118], [107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 119], [108, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120], [109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 121], [110, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122], [111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 123], [112, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124], [113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 125], [114, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126], [115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 127], [116, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128], [117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129], [118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130], [119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 131], [120, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132], [121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133], [122, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134], [123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 135], [124, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136], [125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 137], [126, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138], [127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139], [128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140], [129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 141], [130, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142], [131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143], [132, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144], [133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 145], [134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146], [135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 147], [136, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148], [137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 149], [138, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150], [139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 151], [140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152], [141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153], [142, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154], [143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 155], [144, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156], [145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 157], [146, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158], [147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 159], [148, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160], [149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 161], [150, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162], [151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163], [152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164], [153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 165], [154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166], [155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 167], [156, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168], [157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169], [158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170], [159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 171], [160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172], [161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173], [162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174], [163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175], [164, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176], [165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177], [166, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178], [167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 179], [168, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180], [169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181], [170, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182], [171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183], [172, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184], [173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 185], [174, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186], [175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 187], [176, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188], [177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 189], [178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190], [179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 191], [180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [182, 184, 185, 186, 187, 188, 189, 190, 191], [183, 184, 185, 186, 187, 188, 189, 190, 191], [184, 186, 187, 188, 189, 190, 191], [185, 186, 187, 188, 189, 190, 191]]
Scheme 2 detected 133 spikes in chunk 1 of 1
*** MS5 Elapsed time for SCHEME2 detecting spikes: 0.245 seconds ***
Extracting and classifying snippets
*** MS5 Elapsed time for SCHEME2 extracting and classifying snippets: 0.199 seconds ***
Updating events
Removing duplicates
*** MS5 Elapsed time for SCHEME2 updating events: 0.000 seconds ***
Concatenating results
*** MS5 Elapsed time for SCHEME2 concatenating results: 0.000 seconds ***
Perorming label mapping
*** MS5 Elapsed time for SCHEME2 label mapping: 0.000 seconds ***
Creating sorting object
*** MS5 Elapsed time for SCHEME2 creating sorting object: 0.000 seconds ***
mountainsort5 run time 52.06s
Warning! The recording is already filtered, but mountainsort5 filter is enabled
filtering
whitening
write_binary_recording
engine=process - n_jobs=4 - samples_per_chunk=30,000 - chunk_memory=21.97 MiB - total_memory=87.89 MiB - chunk_duration=1.00s
write_binary_recording (workers: 1 processes): 0%| | 0/1 [00:00<?, ?it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:01<00:00, 1.18s/it]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:01<00:00, 1.18s/it]
Using training recording of duration 300 sec with the sampling mode uniform
*** MS5 Elapsed time for SCHEME2 get_sampled_recording_for_training: 0.000 seconds ***
Running phase 1 sorting
Number of channels: 192
Number of timepoints: 30000
Sampling frequency: 30000.0 Hz
Channel 0: [500. 720.]
Channel 1: [532. 720.]
Channel 2: [500. 735.]
Channel 3: [532. 735.]
Channel 4: [500. 750.]
Channel 5: [532. 750.]
Channel 6: [500. 765.]
Channel 7: [532. 765.]
Channel 8: [500. 780.]
Channel 9: [532. 780.]
Channel 10: [500. 795.]
Channel 11: [532. 795.]
Channel 12: [500. 810.]
Channel 13: [532. 810.]
Channel 14: [500. 825.]
Channel 15: [532. 825.]
Channel 16: [500. 840.]
Channel 17: [532. 840.]
Channel 18: [500. 855.]
Channel 19: [532. 855.]
Channel 20: [500. 870.]
Channel 21: [532. 870.]
Channel 22: [500. 885.]
Channel 23: [532. 885.]
Channel 24: [500. 900.]
Channel 25: [532. 900.]
Channel 26: [500. 915.]
Channel 27: [532. 915.]
Channel 28: [500. 930.]
Channel 29: [532. 930.]
Channel 30: [500. 945.]
Channel 31: [532. 945.]
Channel 32: [500. 960.]
Channel 33: [532. 960.]
Channel 34: [500. 975.]
Channel 35: [532. 975.]
Channel 36: [500. 990.]
Channel 37: [532. 990.]
Channel 38: [ 500. 1005.]
Channel 39: [ 532. 1005.]
Channel 40: [ 500. 1020.]
Channel 41: [ 532. 1020.]
Channel 42: [ 500. 1035.]
Channel 43: [ 532. 1035.]
Channel 44: [ 500. 1050.]
Channel 45: [ 532. 1050.]
Channel 46: [ 500. 1065.]
Channel 47: [ 532. 1065.]
Channel 48: [ 500. 1080.]
Channel 49: [ 532. 1080.]
Channel 50: [ 500. 1095.]
Channel 51: [ 532. 1095.]
Channel 52: [ 500. 1110.]
Channel 53: [ 532. 1110.]
Channel 54: [ 500. 1125.]
Channel 55: [ 532. 1125.]
Channel 56: [ 500. 1140.]
Channel 57: [ 532. 1140.]
Channel 58: [ 500. 1155.]
Channel 59: [ 532. 1155.]
Channel 60: [ 500. 1170.]
Channel 61: [ 532. 1170.]
Channel 62: [ 500. 1185.]
Channel 63: [ 532. 1185.]
Channel 64: [ 500. 1200.]
Channel 65: [ 532. 1200.]
Channel 66: [ 500. 1215.]
Channel 67: [ 532. 1215.]
Channel 68: [ 500. 1230.]
Channel 69: [ 532. 1230.]
Channel 70: [ 500. 1245.]
Channel 71: [ 532. 1245.]
Channel 72: [ 500. 1260.]
Channel 73: [ 532. 1260.]
Channel 74: [ 500. 1275.]
Channel 75: [ 532. 1275.]
Channel 76: [ 500. 1290.]
Channel 77: [ 532. 1290.]
Channel 78: [ 500. 1305.]
Channel 79: [ 532. 1305.]
Channel 80: [ 500. 1320.]
Channel 81: [ 532. 1320.]
Channel 82: [ 500. 1335.]
Channel 83: [ 532. 1335.]
Channel 84: [ 500. 1350.]
Channel 85: [ 532. 1350.]
Channel 86: [ 500. 1365.]
Channel 87: [ 532. 1365.]
Channel 88: [ 500. 1380.]
Channel 89: [ 532. 1380.]
Channel 90: [ 500. 1395.]
Channel 91: [ 532. 1395.]
Channel 92: [ 500. 1410.]
Channel 93: [ 532. 1410.]
Channel 94: [ 500. 1425.]
Channel 95: [ 532. 1425.]
Channel 96: [500. 0.]
Channel 97: [532. 0.]
Channel 98: [500. 15.]
Channel 99: [532. 15.]
Channel 100: [500. 30.]
Channel 101: [532. 30.]
Channel 102: [500. 45.]
Channel 103: [532. 45.]
Channel 104: [500. 60.]
Channel 105: [532. 60.]
Channel 106: [500. 75.]
Channel 107: [532. 75.]
Channel 108: [500. 90.]
Channel 109: [532. 90.]
Channel 110: [500. 105.]
Channel 111: [532. 105.]
Channel 112: [500. 120.]
Channel 113: [532. 120.]
Channel 114: [500. 135.]
Channel 115: [532. 135.]
Channel 116: [500. 150.]
Channel 117: [532. 150.]
Channel 118: [500. 165.]
Channel 119: [532. 165.]
Channel 120: [500. 180.]
Channel 121: [532. 180.]
Channel 122: [500. 195.]
Channel 123: [532. 195.]
Channel 124: [500. 210.]
Channel 125: [532. 210.]
Channel 126: [500. 225.]
Channel 127: [532. 225.]
Channel 128: [500. 240.]
Channel 129: [532. 240.]
Channel 130: [500. 255.]
Channel 131: [532. 255.]
Channel 132: [500. 270.]
Channel 133: [532. 270.]
Channel 134: [500. 285.]
Channel 135: [532. 285.]
Channel 136: [500. 300.]
Channel 137: [532. 300.]
Channel 138: [500. 315.]
Channel 139: [532. 315.]
Channel 140: [500. 330.]
Channel 141: [532. 330.]
Channel 142: [500. 345.]
Channel 143: [532. 345.]
Channel 144: [500. 360.]
Channel 145: [532. 360.]
Channel 146: [500. 375.]
Channel 147: [532. 375.]
Channel 148: [500. 390.]
Channel 149: [532. 390.]
Channel 150: [500. 405.]
Channel 151: [532. 405.]
Channel 152: [500. 420.]
Channel 153: [532. 420.]
Channel 154: [500. 435.]
Channel 155: [532. 435.]
Channel 156: [500. 450.]
Channel 157: [532. 450.]
Channel 158: [500. 465.]
Channel 159: [532. 465.]
Channel 160: [500. 480.]
Channel 161: [532. 480.]
Channel 162: [500. 495.]
Channel 163: [532. 495.]
Channel 164: [500. 510.]
Channel 165: [532. 510.]
Channel 166: [500. 525.]
Channel 167: [532. 525.]
Channel 168: [500. 540.]
Channel 169: [532. 540.]
Channel 170: [500. 555.]
Channel 171: [532. 555.]
Channel 172: [500. 570.]
Channel 173: [532. 570.]
Channel 174: [500. 585.]
Channel 175: [532. 585.]
Channel 176: [500. 600.]
Channel 177: [532. 600.]
Channel 178: [500. 615.]
Channel 179: [532. 615.]
Channel 180: [500. 630.]
Channel 181: [532. 630.]
Channel 182: [500. 645.]
Channel 183: [532. 645.]
Channel 184: [500. 660.]
Channel 185: [532. 660.]
Channel 186: [500. 675.]
Channel 187: [532. 675.]
Channel 188: [500. 690.]
Channel 189: [532. 690.]
Channel 190: [500. 705.]
Channel 191: [532. 705.]
Loading traces
*** MS5 Elapsed time for load_traces: 0.000 seconds ***
Detecting spikes
Adjacency for detect spikes with channel radius 200
[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53], [0, 1, 2, 3, 4, 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189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191]]
m = 0 (nbhd size: 54)
m = 1 (nbhd size: 54)
m = 2 (nbhd size: 54)
m = 3 (nbhd size: 54)
m = 4 (nbhd size: 54)
m = 5 (nbhd size: 54)
m = 6 (nbhd size: 54)
m = 7 (nbhd size: 54)
m = 8 (nbhd size: 54)
m = 9 (nbhd size: 54)
m = 10 (nbhd size: 54)
m = 11 (nbhd size: 54)
m = 12 (nbhd size: 54)
m = 13 (nbhd size: 54)
m = 14 (nbhd size: 54)
m = 15 (nbhd size: 54)
m = 16 (nbhd size: 54)
m = 17 (nbhd size: 54)
m = 18 (nbhd size: 54)
m = 19 (nbhd size: 54)
m = 20 (nbhd size: 54)
m = 21 (nbhd size: 54)
m = 22 (nbhd size: 54)
m = 23 (nbhd size: 54)
m = 24 (nbhd size: 54)
m = 25 (nbhd size: 54)
m = 26 (nbhd size: 54)
m = 27 (nbhd size: 54)
m = 28 (nbhd size: 54)
m = 29 (nbhd size: 54)
m = 30 (nbhd size: 54)
m = 31 (nbhd size: 54)
m = 32 (nbhd size: 54)
m = 33 (nbhd size: 54)
m = 34 (nbhd size: 54)
m = 35 (nbhd size: 54)
m = 36 (nbhd size: 54)
m = 37 (nbhd size: 54)
m = 38 (nbhd size: 54)
m = 39 (nbhd size: 54)
m = 40 (nbhd size: 54)
m = 41 (nbhd size: 54)
m = 42 (nbhd size: 54)
m = 43 (nbhd size: 54)
m = 44 (nbhd size: 54)
m = 45 (nbhd size: 54)
m = 46 (nbhd size: 54)
m = 47 (nbhd size: 54)
m = 48 (nbhd size: 54)
m = 49 (nbhd size: 54)
m = 50 (nbhd size: 54)
m = 51 (nbhd size: 54)
m = 52 (nbhd size: 54)
m = 53 (nbhd size: 54)
m = 54 (nbhd size: 54)
m = 55 (nbhd size: 54)
m = 56 (nbhd size: 54)
m = 57 (nbhd size: 54)
m = 58 (nbhd size: 54)
m = 59 (nbhd size: 54)
m = 60 (nbhd size: 54)
m = 61 (nbhd size: 54)
m = 62 (nbhd size: 54)
m = 63 (nbhd size: 54)
m = 64 (nbhd size: 54)
m = 65 (nbhd size: 54)
m = 66 (nbhd size: 54)
m = 67 (nbhd size: 54)
m = 68 (nbhd size: 54)
m = 69 (nbhd size: 54)
m = 70 (nbhd size: 52)
m = 71 (nbhd size: 52)
m = 72 (nbhd size: 50)
m = 73 (nbhd size: 50)
m = 74 (nbhd size: 48)
m = 75 (nbhd size: 48)
m = 76 (nbhd size: 46)
m = 77 (nbhd size: 46)
m = 78 (nbhd size: 44)
m = 79 (nbhd size: 44)
m = 80 (nbhd size: 42)
m = 81 (nbhd size: 42)
m = 82 (nbhd size: 40)
m = 83 (nbhd size: 40)
m = 84 (nbhd size: 38)
m = 85 (nbhd size: 38)
m = 86 (nbhd size: 36)
m = 87 (nbhd size: 36)
m = 88 (nbhd size: 34)
m = 89 (nbhd size: 34)
m = 90 (nbhd size: 32)
m = 91 (nbhd size: 32)
m = 92 (nbhd size: 30)
m = 93 (nbhd size: 30)
m = 94 (nbhd size: 28)
m = 95 (nbhd size: 28)
m = 96 (nbhd size: 28)
m = 97 (nbhd size: 28)
m = 98 (nbhd size: 30)
m = 99 (nbhd size: 30)
m = 100 (nbhd size: 32)
m = 101 (nbhd size: 32)
m = 102 (nbhd size: 34)
m = 103 (nbhd size: 34)
m = 104 (nbhd size: 36)
m = 105 (nbhd size: 36)
m = 106 (nbhd size: 38)
m = 107 (nbhd size: 38)
m = 108 (nbhd size: 40)
m = 109 (nbhd size: 40)
m = 110 (nbhd size: 42)
m = 111 (nbhd size: 42)
m = 112 (nbhd size: 44)
m = 113 (nbhd size: 44)
m = 114 (nbhd size: 46)
m = 115 (nbhd size: 46)
m = 116 (nbhd size: 48)
m = 117 (nbhd size: 48)
m = 118 (nbhd size: 50)
m = 119 (nbhd size: 50)
m = 120 (nbhd size: 52)
m = 121 (nbhd size: 52)
m = 122 (nbhd size: 54)
m = 123 (nbhd size: 54)
m = 124 (nbhd size: 54)
m = 125 (nbhd size: 54)
m = 126 (nbhd size: 54)
m = 127 (nbhd size: 54)
m = 128 (nbhd size: 54)
m = 129 (nbhd size: 54)
m = 130 (nbhd size: 54)
m = 131 (nbhd size: 54)
m = 132 (nbhd size: 54)
m = 133 (nbhd size: 54)
m = 134 (nbhd size: 54)
m = 135 (nbhd size: 54)
m = 136 (nbhd size: 54)
m = 137 (nbhd size: 54)
m = 138 (nbhd size: 54)
m = 139 (nbhd size: 54)
m = 140 (nbhd size: 54)
m = 141 (nbhd size: 54)
m = 142 (nbhd size: 54)
m = 143 (nbhd size: 54)
m = 144 (nbhd size: 54)
m = 145 (nbhd size: 54)
m = 146 (nbhd size: 54)
m = 147 (nbhd size: 54)
m = 148 (nbhd size: 54)
m = 149 (nbhd size: 54)
m = 150 (nbhd size: 54)
m = 151 (nbhd size: 54)
m = 152 (nbhd size: 54)
m = 153 (nbhd size: 54)
m = 154 (nbhd size: 54)
m = 155 (nbhd size: 54)
m = 156 (nbhd size: 54)
m = 157 (nbhd size: 54)
m = 158 (nbhd size: 54)
m = 159 (nbhd size: 54)
m = 160 (nbhd size: 54)
m = 161 (nbhd size: 54)
m = 162 (nbhd size: 54)
m = 163 (nbhd size: 54)
m = 164 (nbhd size: 54)
m = 165 (nbhd size: 54)
m = 166 (nbhd size: 54)
m = 167 (nbhd size: 54)
m = 168 (nbhd size: 54)
m = 169 (nbhd size: 54)
m = 170 (nbhd size: 54)
m = 171 (nbhd size: 54)
m = 172 (nbhd size: 54)
m = 173 (nbhd size: 54)
m = 174 (nbhd size: 54)
m = 175 (nbhd size: 54)
m = 176 (nbhd size: 54)
m = 177 (nbhd size: 54)
m = 178 (nbhd size: 54)
m = 179 (nbhd size: 54)
m = 180 (nbhd size: 54)
m = 181 (nbhd size: 54)
m = 182 (nbhd size: 54)
m = 183 (nbhd size: 54)
m = 184 (nbhd size: 54)
m = 185 (nbhd size: 54)
m = 186 (nbhd size: 54)
m = 187 (nbhd size: 54)
m = 188 (nbhd size: 54)
m = 189 (nbhd size: 54)
m = 190 (nbhd size: 54)
m = 191 (nbhd size: 54)
Detected 30 spikes
*** MS5 Elapsed time for detect_spikes: 0.195 seconds ***
Removing duplicate times
*** MS5 Elapsed time for remove_duplicate_times: 0.000 seconds ***
Extracting 28 snippets
*** MS5 Elapsed time for extract_snippets: 0.178 seconds ***
Computing PCA features with npca=576
*** MS5 Elapsed time for compute_pca_features: 0.010 seconds ***
Isosplit6 clustering with npca_per_subdivision=10
Found 1 clusters
*** MS5 Elapsed time for isosplit6_subdivision_method: 0.001 seconds ***
Computing templates
*** MS5 Elapsed time for compute_templates: 0.003 seconds ***
Determining optimal alignment of templates
Template alignment converged.
Align templates offsets: [0]
*** MS5 Elapsed time for align_templates: 0.001 seconds ***
Aligning snippets
*** MS5 Elapsed time for align_snippets: 0.000 seconds ***
Clustering aligned snippets
Computing PCA features with npca=576
*** MS5 Elapsed time for compute_pca_features: 0.008 seconds ***
Isosplit6 clustering with npca_per_subdivision=10
*** MS5 Elapsed time for isosplit6_subdivision_method: 0.001 seconds ***
Found 1 clusters after alignment
Computing templates
*** MS5 Elapsed time for compute_templates: 0.003 seconds ***
Offsetting times to peak
Offsets to peak: [-20]
*** MS5 Elapsed time for determine_offsets_to_peak: 0.000 seconds ***
Sorting times
*** MS5 Elapsed time for sorting times: 0.000 seconds ***
Removing out of bounds times
*** MS5 Elapsed time for removing out of bounds times: 0.000 seconds ***
Reordering units
*** MS5 Elapsed time for reordering units: 0.000 seconds ***
Creating sorting object
*** MS5 Elapsed time for creating sorting object: 0.000 seconds ***
*** MS5 Elapsed time for SCHEME2 sorting_scheme1: 0.419 seconds ***
*** MS5 Elapsed time for SCHEME2 get_times_labels_from_sorting: 0.000 seconds ***
Loading training traces
*** MS5 Elapsed time for SCHEME2 training_recording.get_traces: 0.000 seconds ***
Training classifier
*** MS5 Elapsed time for SCHEME2 training classifier step 1: 0.526 seconds ***
Adding snippets from phase 1 sorting
Fitting models
*** MS5 Elapsed time for SCHEME2 fitting models: 45.232 seconds ***
Chunk size: 17.361133333333335 sec
Time chunk 1 of 1
Loading traces
*** MS5 Elapsed time for SCHEME2 loading traces: 0.000 seconds ***
Detecting spikes
Adjacency for detect spikes with channel radius 50
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23, 24, 25, 27], [16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28], [17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29], [18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30], [19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31], [20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32], [21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33], [22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34], [23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35], [24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36], [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37], [26, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38], [27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39], [28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], [29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41], [30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42], [31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43], [32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45], [34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46], [35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47], [36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48], [37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49], [38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51], [40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52], [41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53], [42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54], [43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55], [44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], [45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57], [46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58], [47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59], [48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], [49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61], [50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], [51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63], [52, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64], [53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65], [54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66], [55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 67], [56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68], [57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 69], [58, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70], [59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71], [60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72], [61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73], [62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74], [63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75], [64, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76], [65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 77], [66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78], [67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79], [68, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80], [69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 81], [70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82], [71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83], [72, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84], [73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85], [74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86], [75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87], [76, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88], [77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89], [78, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90], [79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91], [80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92], [81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 93], [82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94], [83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95], [84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95], [85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95], [86, 88, 89, 90, 91, 92, 93, 94, 95], [87, 88, 89, 90, 91, 92, 93, 94, 95], [88, 90, 91, 92, 93, 94, 95], [89, 90, 91, 92, 93, 94, 95], [96, 97, 98, 99, 100, 101, 102], [96, 97, 98, 99, 100, 101, 103], [96, 97, 98, 99, 100, 101, 102, 103, 104], [96, 97, 98, 99, 100, 101, 102, 103, 105], [96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106], [96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107], [96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108], [97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109], [98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110], [99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 111], [100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112], [101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113], [102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114], [103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 115], [104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116], [105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117], [106, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118], [107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 119], [108, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120], [109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 121], [110, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122], [111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 123], [112, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124], [113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 125], [114, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126], [115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 127], [116, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128], [117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129], [118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130], [119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 131], [120, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132], [121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133], [122, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134], [123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 135], [124, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136], [125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 137], [126, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138], [127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139], [128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140], [129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 141], [130, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142], [131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143], [132, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144], [133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 145], [134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146], [135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 147], [136, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148], [137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 149], [138, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150], [139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 151], [140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152], [141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153], [142, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154], [143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 155], [144, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156], [145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 157], [146, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158], [147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 159], [148, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160], [149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 161], [150, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162], [151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163], [152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164], [153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 165], [154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166], [155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 167], [156, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168], [157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169], [158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170], [159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 171], [160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172], [161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173], [162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174], [163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175], [164, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176], [165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177], [166, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178], [167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 179], [168, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180], [169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181], [170, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182], [171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183], [172, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184], [173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 185], [174, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186], [175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 187], [176, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188], [177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 189], [178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190], [179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 191], [0, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [1, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 182, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 3, 183, 184, 185, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 184, 186, 187, 188, 189, 190, 191], [0, 1, 2, 3, 5, 185, 186, 187, 188, 189, 190, 191]]
Scheme 2 detected 33 spikes in chunk 1 of 1
*** MS5 Elapsed time for SCHEME2 detecting spikes: 0.240 seconds ***
Extracting and classifying snippets
*** MS5 Elapsed time for SCHEME2 extracting and classifying snippets: 0.103 seconds ***
Updating events
Removing duplicates
*** MS5 Elapsed time for SCHEME2 updating events: 0.000 seconds ***
Concatenating results
*** MS5 Elapsed time for SCHEME2 concatenating results: 0.000 seconds ***
Perorming label mapping
*** MS5 Elapsed time for SCHEME2 label mapping: 0.000 seconds ***
Creating sorting object
*** MS5 Elapsed time for SCHEME2 creating sorting object: 0.000 seconds ***
mountainsort5 run time 57.22s
Sorting results are output to a folder called sorting in the run’s output folder:
└── my_project/
└── derivatives/
└── sub-001 /
└── ses-001/
└── ephys/
├── concat_run/
│ ├── preprocessed/
│ │ └── <preprocessed_data>
│ └── sorting/
│ └── shank_0
│ └── ...
│ └── shank_1
│ └── ...
└── ...
The per_shank and concat_runs arguments on the sort function
indicate whether the recording should be split per shank or concatenated
prior to sorting. If the recording has already been split-by-shank
and / or concatenated at the preprocessing stage, they will remain so for sorting.
In the example above, runs are concatenated before preprocessing and then the concatenated run is sorted. The shanks are preprocessed together, and then split before sorting.
See Sorting Configs below for information on how to select and configure the sorter to use.
Running Sorting from Saved Preprocessing#
Alternatively, the preprocessed data might be saved prior to sorting. In this case, sorting can be run directly from the saved data. For example, first preprocessed recordings are saved:
session = sw.Session(
subject_path=sw.get_example_data_path() / "rawdata" / "sub-001",
session_name="ses-001",
file_format="spikeglx", # or "openephys"
run_names="all"
)
session.preprocess(
configs="neuropixels+mountainsort5", concat_runs=True
)
session.save_preprocessed(overwrite=True)
The preprocessing options are: {
"1": [
"phase_shift",
{}
],
"2": [
"bandpass_filter",
{
"freq_max": 6000,
"freq_min": 300
}
],
"3": [
"common_reference",
{
"operator": "median",
"reference": "global"
}
]
}
/home/runner/work/spikewrap/spikewrap/spikewrap/process/_loading.py:147: UserWarning: The sessions or runs provided for are not in creation datetime order.
They will be concatenated in the order provided, as:
['run-002_g0_imec0', 'run-001_g0_imec0'].
warnings.warn(
Loading data from path: /home/runner/work/spikewrap/spikewrap/spikewrap/examples/example_tiny_data/spikeglx/rawdata/sub-001/ses-001/ephys/run-002_g0_imec0
Loading data from path: /home/runner/work/spikewrap/spikewrap/spikewrap/examples/example_tiny_data/spikeglx/rawdata/sub-001/ses-001/ephys/run-001_g0_imec0
Concatenating raw recordings in the following order:['run-002_g0_imec0', 'run-001_g0_imec0']
Saving data for: concat_run...
write_binary_recording
engine=process - n_jobs=4 - samples_per_chunk=60,000 - chunk_memory=43.95 MiB - total_memory=175.78 MiB - chunk_duration=2.00s
write_binary_recording (workers: 1 processes): 0%| | 0/1 [00:00<?, ?it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:01<00:00, 1.07s/it]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:01<00:00, 1.07s/it]
In a new session, the sorting can be run directly, and will be loaded from the previously saved preprocessed data:
session = sw.Session(
subject_path=sw.get_example_data_path() / "rawdata" / "sub-001",
session_name="ses-001",
file_format="spikeglx",
run_names=["concat_run"]
)
# Here, the preprocessed data will be detected and loaded from disk, if available.
# Otherwise, an error will be raised.
session.sort(
configs="neuropixels+mountainsort5", run_sorter_method="local"
)
Preprocessed runs were loaded from disk, in the order:['concat_run']
Warning! The recording is already filtered, but mountainsort5 filter is enabled
filtering
whitening
write_binary_recording
engine=process - n_jobs=4 - samples_per_chunk=30,000 - chunk_memory=43.95 MiB - total_memory=175.78 MiB - chunk_duration=1.00s
write_binary_recording (workers: 1 processes): 0%| | 0/1 [00:00<?, ?it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00, 1.45it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00, 1.45it/s]
Using training recording of duration 300 sec with the sampling mode uniform
*** MS5 Elapsed time for SCHEME2 get_sampled_recording_for_training: 0.000 seconds ***
Running phase 1 sorting
Number of channels: 384
Number of timepoints: 30000
Sampling frequency: 30000.0 Hz
Channel 0: [500. 720.]
Channel 1: [532. 720.]
Channel 2: [500. 735.]
Channel 3: [532. 735.]
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Channel 11: [532. 795.]
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Channel 192: [500. 0.]
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Channel 240: [250. 720.]
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Channel 318: [500. 585.]
Channel 319: [532. 585.]
Channel 320: [500. 600.]
Channel 321: [532. 600.]
Channel 322: [500. 615.]
Channel 323: [532. 615.]
Channel 324: [500. 630.]
Channel 325: [532. 630.]
Channel 326: [500. 645.]
Channel 327: [532. 645.]
Channel 328: [500. 660.]
Channel 329: [532. 660.]
Channel 330: [500. 675.]
Channel 331: [532. 675.]
Channel 332: [500. 690.]
Channel 333: [532. 690.]
Channel 334: [500. 705.]
Channel 335: [532. 705.]
Channel 336: [ 250. 1080.]
Channel 337: [ 282. 1080.]
Channel 338: [ 250. 1095.]
Channel 339: [ 282. 1095.]
Channel 340: [ 250. 1110.]
Channel 341: [ 282. 1110.]
Channel 342: [ 250. 1125.]
Channel 343: [ 282. 1125.]
Channel 344: [ 250. 1140.]
Channel 345: [ 282. 1140.]
Channel 346: [ 250. 1155.]
Channel 347: [ 282. 1155.]
Channel 348: [ 250. 1170.]
Channel 349: [ 282. 1170.]
Channel 350: [ 250. 1185.]
Channel 351: [ 282. 1185.]
Channel 352: [ 250. 1200.]
Channel 353: [ 282. 1200.]
Channel 354: [ 250. 1215.]
Channel 355: [ 282. 1215.]
Channel 356: [ 250. 1230.]
Channel 357: [ 282. 1230.]
Channel 358: [ 250. 1245.]
Channel 359: [ 282. 1245.]
Channel 360: [ 250. 1260.]
Channel 361: [ 282. 1260.]
Channel 362: [ 250. 1275.]
Channel 363: [ 282. 1275.]
Channel 364: [ 250. 1290.]
Channel 365: [ 282. 1290.]
Channel 366: [ 250. 1305.]
Channel 367: [ 282. 1305.]
Channel 368: [ 250. 1320.]
Channel 369: [ 282. 1320.]
Channel 370: [ 250. 1335.]
Channel 371: [ 282. 1335.]
Channel 372: [ 250. 1350.]
Channel 373: [ 282. 1350.]
Channel 374: [ 250. 1365.]
Channel 375: [ 282. 1365.]
Channel 376: [ 250. 1380.]
Channel 377: [ 282. 1380.]
Channel 378: [ 250. 1395.]
Channel 379: [ 282. 1395.]
Channel 380: [ 250. 1410.]
Channel 381: [ 282. 1410.]
Channel 382: [ 250. 1425.]
Channel 383: [ 282. 1425.]
Loading traces
*** MS5 Elapsed time for load_traces: 0.000 seconds ***
Detecting spikes
Adjacency for detect spikes with channel radius 200
[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 328, 329, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 330, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101], [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103], [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103], [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105], [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105], [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107], [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107], [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109], [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 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43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115], [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115], [16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117], [16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117], [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119], [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119], [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121], [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 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367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379], [278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379], [280, 281, 282, 283, 284, 285, 286, 287, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381], [280, 281, 282, 283, 284, 285, 286, 287, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381], [282, 283, 284, 285, 286, 287, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [282, 283, 284, 285, 286, 287, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [284, 285, 286, 287, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [284, 285, 286, 287, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [286, 287, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [286, 287, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383], [356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383]]
m = 0 (nbhd size: 54)
m = 1 (nbhd size: 54)
m = 2 (nbhd size: 54)
m = 3 (nbhd size: 54)
m = 4 (nbhd size: 54)
m = 5 (nbhd size: 54)
m = 6 (nbhd size: 54)
m = 7 (nbhd size: 54)
m = 8 (nbhd size: 54)
m = 9 (nbhd size: 54)
m = 10 (nbhd size: 54)
m = 11 (nbhd size: 54)
m = 12 (nbhd size: 54)
m = 13 (nbhd size: 54)
m = 14 (nbhd size: 54)
m = 15 (nbhd size: 54)
m = 16 (nbhd size: 54)
m = 17 (nbhd size: 54)
m = 18 (nbhd size: 54)
m = 19 (nbhd size: 54)
m = 20 (nbhd size: 54)
m = 21 (nbhd size: 54)
m = 22 (nbhd size: 54)
m = 23 (nbhd size: 54)
m = 24 (nbhd size: 54)
m = 25 (nbhd size: 54)
m = 26 (nbhd size: 54)
m = 27 (nbhd size: 54)
m = 28 (nbhd size: 54)
m = 29 (nbhd size: 54)
m = 30 (nbhd size: 54)
m = 31 (nbhd size: 54)
m = 32 (nbhd size: 54)
m = 33 (nbhd size: 54)
m = 34 (nbhd size: 54)
m = 35 (nbhd size: 54)
m = 36 (nbhd size: 54)
m = 37 (nbhd size: 54)
m = 38 (nbhd size: 54)
m = 39 (nbhd size: 54)
m = 40 (nbhd size: 54)
m = 41 (nbhd size: 54)
m = 42 (nbhd size: 54)
m = 43 (nbhd size: 54)
m = 44 (nbhd size: 54)
m = 45 (nbhd size: 54)
m = 46 (nbhd size: 54)
m = 47 (nbhd size: 54)
m = 48 (nbhd size: 28)
m = 49 (nbhd size: 28)
m = 50 (nbhd size: 30)
m = 51 (nbhd size: 30)
m = 52 (nbhd size: 32)
m = 53 (nbhd size: 32)
m = 54 (nbhd size: 34)
m = 55 (nbhd size: 34)
m = 56 (nbhd size: 36)
m = 57 (nbhd size: 36)
m = 58 (nbhd size: 38)
m = 59 (nbhd size: 38)
m = 60 (nbhd size: 40)
m = 61 (nbhd size: 40)
m = 62 (nbhd size: 42)
m = 63 (nbhd size: 42)
m = 64 (nbhd size: 44)
m = 65 (nbhd size: 44)
m = 66 (nbhd size: 46)
m = 67 (nbhd size: 46)
m = 68 (nbhd size: 48)
m = 69 (nbhd size: 48)
m = 70 (nbhd size: 50)
m = 71 (nbhd size: 50)
m = 72 (nbhd size: 52)
m = 73 (nbhd size: 52)
m = 74 (nbhd size: 54)
m = 75 (nbhd size: 54)
m = 76 (nbhd size: 54)
m = 77 (nbhd size: 54)
m = 78 (nbhd size: 54)
m = 79 (nbhd size: 54)
m = 80 (nbhd size: 54)
m = 81 (nbhd size: 54)
m = 82 (nbhd size: 54)
m = 83 (nbhd size: 54)
m = 84 (nbhd size: 54)
m = 85 (nbhd size: 54)
m = 86 (nbhd size: 54)
m = 87 (nbhd size: 54)
m = 88 (nbhd size: 54)
m = 89 (nbhd size: 54)
m = 90 (nbhd size: 54)
m = 91 (nbhd size: 54)
m = 92 (nbhd size: 54)
m = 93 (nbhd size: 54)
m = 94 (nbhd size: 54)
m = 95 (nbhd size: 54)
m = 96 (nbhd size: 54)
m = 97 (nbhd size: 54)
m = 98 (nbhd size: 54)
m = 99 (nbhd size: 54)
m = 100 (nbhd size: 54)
m = 101 (nbhd size: 54)
m = 102 (nbhd size: 54)
m = 103 (nbhd size: 54)
m = 104 (nbhd size: 54)
m = 105 (nbhd size: 54)
m = 106 (nbhd size: 54)
m = 107 (nbhd size: 54)
m = 108 (nbhd size: 54)
m = 109 (nbhd size: 54)
m = 110 (nbhd size: 54)
m = 111 (nbhd size: 54)
m = 112 (nbhd size: 54)
m = 113 (nbhd size: 54)
m = 114 (nbhd size: 54)
m = 115 (nbhd size: 54)
m = 116 (nbhd size: 54)
m = 117 (nbhd size: 54)
m = 118 (nbhd size: 52)
m = 119 (nbhd size: 52)
m = 120 (nbhd size: 50)
m = 121 (nbhd size: 50)
m = 122 (nbhd size: 48)
m = 123 (nbhd size: 48)
m = 124 (nbhd size: 46)
m = 125 (nbhd size: 46)
m = 126 (nbhd size: 44)
m = 127 (nbhd size: 44)
m = 128 (nbhd size: 42)
m = 129 (nbhd size: 42)
m = 130 (nbhd size: 40)
m = 131 (nbhd size: 40)
m = 132 (nbhd size: 38)
m = 133 (nbhd size: 38)
m = 134 (nbhd size: 36)
m = 135 (nbhd size: 36)
m = 136 (nbhd size: 34)
m = 137 (nbhd size: 34)
m = 138 (nbhd size: 32)
m = 139 (nbhd size: 32)
m = 140 (nbhd size: 30)
m = 141 (nbhd size: 30)
m = 142 (nbhd size: 28)
m = 143 (nbhd size: 28)
m = 144 (nbhd size: 54)
m = 145 (nbhd size: 54)
m = 146 (nbhd size: 54)
m = 147 (nbhd size: 54)
m = 148 (nbhd size: 54)
m = 149 (nbhd size: 54)
m = 150 (nbhd size: 54)
m = 151 (nbhd size: 54)
m = 152 (nbhd size: 54)
m = 153 (nbhd size: 54)
m = 154 (nbhd size: 54)
m = 155 (nbhd size: 54)
m = 156 (nbhd size: 54)
m = 157 (nbhd size: 54)
m = 158 (nbhd size: 54)
m = 159 (nbhd size: 54)
m = 160 (nbhd size: 54)
m = 161 (nbhd size: 54)
m = 162 (nbhd size: 54)
m = 163 (nbhd size: 54)
m = 164 (nbhd size: 54)
m = 165 (nbhd size: 54)
m = 166 (nbhd size: 54)
m = 167 (nbhd size: 54)
m = 168 (nbhd size: 54)
m = 169 (nbhd size: 54)
m = 170 (nbhd size: 54)
m = 171 (nbhd size: 54)
m = 172 (nbhd size: 54)
m = 173 (nbhd size: 54)
m = 174 (nbhd size: 54)
m = 175 (nbhd size: 54)
m = 176 (nbhd size: 54)
m = 177 (nbhd size: 54)
m = 178 (nbhd size: 54)
m = 179 (nbhd size: 54)
m = 180 (nbhd size: 54)
m = 181 (nbhd size: 54)
m = 182 (nbhd size: 54)
m = 183 (nbhd size: 54)
m = 184 (nbhd size: 54)
m = 185 (nbhd size: 54)
m = 186 (nbhd size: 54)
m = 187 (nbhd size: 54)
m = 188 (nbhd size: 54)
m = 189 (nbhd size: 54)
m = 190 (nbhd size: 54)
m = 191 (nbhd size: 54)
m = 192 (nbhd size: 28)
m = 193 (nbhd size: 28)
m = 194 (nbhd size: 30)
m = 195 (nbhd size: 30)
m = 196 (nbhd size: 32)
m = 197 (nbhd size: 32)
m = 198 (nbhd size: 34)
m = 199 (nbhd size: 34)
m = 200 (nbhd size: 36)
m = 201 (nbhd size: 36)
m = 202 (nbhd size: 38)
m = 203 (nbhd size: 38)
m = 204 (nbhd size: 40)
m = 205 (nbhd size: 40)
m = 206 (nbhd size: 42)
m = 207 (nbhd size: 42)
m = 208 (nbhd size: 44)
m = 209 (nbhd size: 44)
m = 210 (nbhd size: 46)
m = 211 (nbhd size: 46)
m = 212 (nbhd size: 48)
m = 213 (nbhd size: 48)
m = 214 (nbhd size: 50)
m = 215 (nbhd size: 50)
m = 216 (nbhd size: 52)
m = 217 (nbhd size: 52)
m = 218 (nbhd size: 54)
m = 219 (nbhd size: 54)
m = 220 (nbhd size: 54)
m = 221 (nbhd size: 54)
m = 222 (nbhd size: 54)
m = 223 (nbhd size: 54)
m = 224 (nbhd size: 54)
m = 225 (nbhd size: 54)
m = 226 (nbhd size: 54)
m = 227 (nbhd size: 54)
m = 228 (nbhd size: 54)
m = 229 (nbhd size: 54)
m = 230 (nbhd size: 54)
m = 231 (nbhd size: 54)
m = 232 (nbhd size: 54)
m = 233 (nbhd size: 54)
m = 234 (nbhd size: 54)
m = 235 (nbhd size: 54)
m = 236 (nbhd size: 54)
m = 237 (nbhd size: 54)
m = 238 (nbhd size: 54)
m = 239 (nbhd size: 54)
m = 240 (nbhd size: 54)
m = 241 (nbhd size: 54)
m = 242 (nbhd size: 54)
m = 243 (nbhd size: 54)
m = 244 (nbhd size: 54)
m = 245 (nbhd size: 54)
m = 246 (nbhd size: 54)
m = 247 (nbhd size: 54)
m = 248 (nbhd size: 54)
m = 249 (nbhd size: 54)
m = 250 (nbhd size: 54)
m = 251 (nbhd size: 54)
m = 252 (nbhd size: 54)
m = 253 (nbhd size: 54)
m = 254 (nbhd size: 54)
m = 255 (nbhd size: 54)
m = 256 (nbhd size: 54)
m = 257 (nbhd size: 54)
m = 258 (nbhd size: 54)
m = 259 (nbhd size: 54)
m = 260 (nbhd size: 54)
m = 261 (nbhd size: 54)
m = 262 (nbhd size: 54)
m = 263 (nbhd size: 54)
m = 264 (nbhd size: 54)
m = 265 (nbhd size: 54)
m = 266 (nbhd size: 54)
m = 267 (nbhd size: 54)
m = 268 (nbhd size: 54)
m = 269 (nbhd size: 54)
m = 270 (nbhd size: 54)
m = 271 (nbhd size: 54)
m = 272 (nbhd size: 54)
m = 273 (nbhd size: 54)
m = 274 (nbhd size: 54)
m = 275 (nbhd size: 54)
m = 276 (nbhd size: 54)
m = 277 (nbhd size: 54)
m = 278 (nbhd size: 54)
m = 279 (nbhd size: 54)
m = 280 (nbhd size: 54)
m = 281 (nbhd size: 54)
m = 282 (nbhd size: 54)
m = 283 (nbhd size: 54)
m = 284 (nbhd size: 54)
m = 285 (nbhd size: 54)
m = 286 (nbhd size: 54)
m = 287 (nbhd size: 54)
m = 288 (nbhd size: 54)
m = 289 (nbhd size: 54)
m = 290 (nbhd size: 54)
m = 291 (nbhd size: 54)
m = 292 (nbhd size: 54)
m = 293 (nbhd size: 54)
m = 294 (nbhd size: 54)
m = 295 (nbhd size: 54)
m = 296 (nbhd size: 54)
m = 297 (nbhd size: 54)
m = 298 (nbhd size: 54)
m = 299 (nbhd size: 54)
m = 300 (nbhd size: 54)
m = 301 (nbhd size: 54)
m = 302 (nbhd size: 54)
m = 303 (nbhd size: 54)
m = 304 (nbhd size: 54)
m = 305 (nbhd size: 54)
m = 306 (nbhd size: 54)
m = 307 (nbhd size: 54)
m = 308 (nbhd size: 54)
m = 309 (nbhd size: 54)
m = 310 (nbhd size: 54)
m = 311 (nbhd size: 54)
m = 312 (nbhd size: 54)
m = 313 (nbhd size: 54)
m = 314 (nbhd size: 54)
m = 315 (nbhd size: 54)
m = 316 (nbhd size: 54)
m = 317 (nbhd size: 54)
m = 318 (nbhd size: 54)
m = 319 (nbhd size: 54)
m = 320 (nbhd size: 54)
m = 321 (nbhd size: 54)
m = 322 (nbhd size: 54)
m = 323 (nbhd size: 54)
m = 324 (nbhd size: 54)
m = 325 (nbhd size: 54)
m = 326 (nbhd size: 54)
m = 327 (nbhd size: 54)
m = 328 (nbhd size: 54)
m = 329 (nbhd size: 54)
m = 330 (nbhd size: 54)
m = 331 (nbhd size: 54)
m = 332 (nbhd size: 54)
m = 333 (nbhd size: 54)
m = 334 (nbhd size: 54)
m = 335 (nbhd size: 54)
m = 336 (nbhd size: 54)
m = 337 (nbhd size: 54)
m = 338 (nbhd size: 54)
m = 339 (nbhd size: 54)
m = 340 (nbhd size: 54)
m = 341 (nbhd size: 54)
m = 342 (nbhd size: 54)
m = 343 (nbhd size: 54)
m = 344 (nbhd size: 54)
m = 345 (nbhd size: 54)
m = 346 (nbhd size: 54)
m = 347 (nbhd size: 54)
m = 348 (nbhd size: 54)
m = 349 (nbhd size: 54)
m = 350 (nbhd size: 54)
m = 351 (nbhd size: 54)
m = 352 (nbhd size: 54)
m = 353 (nbhd size: 54)
m = 354 (nbhd size: 54)
m = 355 (nbhd size: 54)
m = 356 (nbhd size: 54)
m = 357 (nbhd size: 54)
m = 358 (nbhd size: 52)
m = 359 (nbhd size: 52)
m = 360 (nbhd size: 50)
m = 361 (nbhd size: 50)
m = 362 (nbhd size: 48)
m = 363 (nbhd size: 48)
m = 364 (nbhd size: 46)
m = 365 (nbhd size: 46)
m = 366 (nbhd size: 44)
m = 367 (nbhd size: 44)
m = 368 (nbhd size: 42)
m = 369 (nbhd size: 42)
m = 370 (nbhd size: 40)
m = 371 (nbhd size: 40)
m = 372 (nbhd size: 38)
m = 373 (nbhd size: 38)
m = 374 (nbhd size: 36)
m = 375 (nbhd size: 36)
m = 376 (nbhd size: 34)
m = 377 (nbhd size: 34)
m = 378 (nbhd size: 32)
m = 379 (nbhd size: 32)
m = 380 (nbhd size: 30)
m = 381 (nbhd size: 30)
m = 382 (nbhd size: 28)
m = 383 (nbhd size: 28)
Detected 159 spikes
*** MS5 Elapsed time for detect_spikes: 0.757 seconds ***
Removing duplicate times
*** MS5 Elapsed time for remove_duplicate_times: 0.000 seconds ***
Extracting 155 snippets
*** MS5 Elapsed time for extract_snippets: 0.712 seconds ***
Computing PCA features with npca=1152
*** MS5 Elapsed time for compute_pca_features: 0.159 seconds ***
Isosplit6 clustering with npca_per_subdivision=10
Found 2 clusters
*** MS5 Elapsed time for isosplit6_subdivision_method: 0.014 seconds ***
Computing templates
*** MS5 Elapsed time for compute_templates: 0.037 seconds ***
Determining optimal alignment of templates
Template alignment converged.
Align templates offsets: [0 0]
*** MS5 Elapsed time for align_templates: 0.006 seconds ***
Aligning snippets
*** MS5 Elapsed time for align_snippets: 0.002 seconds ***
Clustering aligned snippets
Computing PCA features with npca=1152
*** MS5 Elapsed time for compute_pca_features: 0.156 seconds ***
Isosplit6 clustering with npca_per_subdivision=10
*** MS5 Elapsed time for isosplit6_subdivision_method: 0.011 seconds ***
Found 2 clusters after alignment
Computing templates
*** MS5 Elapsed time for compute_templates: 0.035 seconds ***
Offsetting times to peak
Offsets to peak: [-20 0]
*** MS5 Elapsed time for determine_offsets_to_peak: 0.000 seconds ***
Sorting times
*** MS5 Elapsed time for sorting times: 0.000 seconds ***
Removing out of bounds times
*** MS5 Elapsed time for removing out of bounds times: 0.000 seconds ***
Reordering units
*** MS5 Elapsed time for reordering units: 0.000 seconds ***
Creating sorting object
*** MS5 Elapsed time for creating sorting object: 0.000 seconds ***
*** MS5 Elapsed time for SCHEME2 sorting_scheme1: 1.925 seconds ***
*** MS5 Elapsed time for SCHEME2 get_times_labels_from_sorting: 0.000 seconds ***
Loading training traces
*** MS5 Elapsed time for SCHEME2 training_recording.get_traces: 0.002 seconds ***
Training classifier
*** MS5 Elapsed time for SCHEME2 training classifier step 1: 1.302 seconds ***
Adding snippets from phase 1 sorting
Fitting models
*** MS5 Elapsed time for SCHEME2 fitting models: 82.801 seconds ***
Chunk size: 8.680566666666667 sec
Time chunk 1 of 1
Loading traces
*** MS5 Elapsed time for SCHEME2 loading traces: 0.000 seconds ***
Detecting spikes
Adjacency for detect spikes with channel radius 50
[[0, 1, 2, 3, 4, 5, 6, 330, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 7, 331, 332, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 332, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 9, 333, 334, 335], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 334], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 335], [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13], [2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15], [4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], [6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], [8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21], [10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22], [11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23], [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25], [14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27], [16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28], [17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29], [18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30], [19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31], [20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32], [21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33], [22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34], [23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35], [24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36], [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37], [26, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38], [27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39], [28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], [29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41], [30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42], [31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43], [32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], [33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45], [34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46], [35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47], [36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 96], [37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 97], [38, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 98], [39, 40, 41, 42, 43, 44, 45, 46, 47, 96, 97, 99], [40, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 100], [41, 42, 43, 44, 45, 46, 47, 96, 97, 98, 99, 101], [48, 49, 50, 51, 52, 53, 54], [48, 49, 50, 51, 52, 53, 55], [48, 49, 50, 51, 52, 53, 54, 55, 56], [48, 49, 50, 51, 52, 53, 54, 55, 57], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58], [48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59], [48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], [49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61], [50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], [51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63], [52, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64], [53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65], [54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66], [55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 67], [56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68], [57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 69], [58, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70], [59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71], [60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72], [61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73], [62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74], [63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75], [64, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76], [65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 77], [66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78], [67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79], [68, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80], [69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 81], [70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82], [71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83], [72, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84], [73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85], [74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86], [75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87], [76, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88], [77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89], [78, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90], [79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91], [80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92], [81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 93], [82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94], [83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95], [84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 144], [85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 145], [86, 88, 89, 90, 91, 92, 93, 94, 95, 144, 145, 146], [87, 88, 89, 90, 91, 92, 93, 94, 95, 144, 145, 147], [88, 90, 91, 92, 93, 94, 95, 144, 145, 146, 147, 148], [89, 90, 91, 92, 93, 94, 95, 144, 145, 146, 147, 149], [42, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 102], [43, 44, 45, 46, 47, 96, 97, 98, 99, 100, 101, 103], [44, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 104], [45, 46, 47, 96, 97, 98, 99, 100, 101, 102, 103, 105], [46, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106], [47, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107], [96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108], [97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109], [98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110], [99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 111], [100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112], [101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113], [102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114], [103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 115], [104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116], [105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117], [106, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118], [107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 119], [108, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120], [109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 121], [110, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122], [111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 123], [112, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124], [113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 125], [114, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126], [115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 127], [116, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128], [117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129], [118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130], [119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 131], [120, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132], [121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133], [122, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134], [123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 135], [124, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136], [125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 137], [126, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138], [127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139], [128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140], [129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 141], [130, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142], [131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143], [132, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143], [133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143], [134, 136, 137, 138, 139, 140, 141, 142, 143], [135, 136, 137, 138, 139, 140, 141, 142, 143], [136, 138, 139, 140, 141, 142, 143], [137, 138, 139, 140, 141, 142, 143], [90, 92, 93, 94, 95, 144, 145, 146, 147, 148, 149, 150], [91, 92, 93, 94, 95, 144, 145, 146, 147, 148, 149, 151], [92, 94, 95, 144, 145, 146, 147, 148, 149, 150, 151, 152], [93, 94, 95, 144, 145, 146, 147, 148, 149, 150, 151, 153], [94, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154], [95, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 155], [144, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156], [145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 157], [146, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158], [147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 159], [148, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160], [149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 161], [150, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162], [151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163], [152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164], [153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 165], [154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166], [155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 167], [156, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168], [157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169], [158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170], [159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 171], [160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172], [161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173], [162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174], [163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175], [164, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176], [165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177], [166, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178], [167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 179], [168, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180], [169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181], [170, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182], [171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183], [172, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184], [173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 185], [174, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186], [175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 187], [176, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188], [177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 189], [178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190], [179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 191], [180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 240], [181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 241], [182, 184, 185, 186, 187, 188, 189, 190, 191, 240, 241, 242], [183, 184, 185, 186, 187, 188, 189, 190, 191, 240, 241, 243], [184, 186, 187, 188, 189, 190, 191, 240, 241, 242, 243, 244], [185, 186, 187, 188, 189, 190, 191, 240, 241, 242, 243, 245], [192, 193, 194, 195, 196, 197, 198], [192, 193, 194, 195, 196, 197, 199], [192, 193, 194, 195, 196, 197, 198, 199, 200], [192, 193, 194, 195, 196, 197, 198, 199, 201], [192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202], [192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 203], [192, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204], [193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 205], [194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206], [195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 207], [196, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208], [197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209], [198, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210], [199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 211], [200, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212], [201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 213], [202, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214], [203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 215], [204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216], [205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 217], [206, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218], [207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 219], [208, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220], [209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221], [210, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222], [211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223], [212, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224], [213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 225], [214, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226], [215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 227], [216, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228], [217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 229], [218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230], [219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 231], [220, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232], [221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 233], [222, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234], [223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 235], [224, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236], [225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 237], [226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238], [227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 239], [228, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 288], [229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 289], [230, 232, 233, 234, 235, 236, 237, 238, 239, 288, 289, 290], [231, 232, 233, 234, 235, 236, 237, 238, 239, 288, 289, 291], [232, 234, 235, 236, 237, 238, 239, 288, 289, 290, 291, 292], [233, 234, 235, 236, 237, 238, 239, 288, 289, 290, 291, 293], [186, 188, 189, 190, 191, 240, 241, 242, 243, 244, 245, 246], [187, 188, 189, 190, 191, 240, 241, 242, 243, 244, 245, 247], [188, 190, 191, 240, 241, 242, 243, 244, 245, 246, 247, 248], [189, 190, 191, 240, 241, 242, 243, 244, 245, 246, 247, 249], [190, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250], [191, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 251], [240, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252], [241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253], [242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254], [243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255], [244, 246, 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264, 265, 266, 267, 268, 269, 270, 271, 272], [261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 273], [262, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274], [263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 275], [264, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276], [265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 277], [266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278], [267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279], [268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280], [269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281], [270, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282], [271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 283], [272, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284], [273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 285], [274, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286], [275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287], [276, 278, 279, 280, 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380, 381, 382, 383], [374, 376, 377, 378, 379, 380, 381, 382, 383], [375, 376, 377, 378, 379, 380, 381, 382, 383], [376, 378, 379, 380, 381, 382, 383], [377, 378, 379, 380, 381, 382, 383]]
Scheme 2 detected 163 spikes in chunk 1 of 1
*** MS5 Elapsed time for SCHEME2 detecting spikes: 0.787 seconds ***
Extracting and classifying snippets
*** MS5 Elapsed time for SCHEME2 extracting and classifying snippets: 0.308 seconds ***
Updating events
Removing duplicates
*** MS5 Elapsed time for SCHEME2 updating events: 0.000 seconds ***
Concatenating results
*** MS5 Elapsed time for SCHEME2 concatenating results: 0.000 seconds ***
Perorming label mapping
*** MS5 Elapsed time for SCHEME2 label mapping: 0.000 seconds ***
Creating sorting object
*** MS5 Elapsed time for SCHEME2 creating sorting object: 0.000 seconds ***
mountainsort5 run time 92.78s
Warning
If preprocessing is run in memory, it will take precedence over previously
saved preprocessed runs. The preprocessed data generated on the last call
to spikewrap.Session.preprocess will be used for sorting, even if saved data exists.
For example:
session.preprocess(configs_dict_1)
session.save_preprocessed()
session.preprocess(configs_dict_2)
session.sort()
In this case, sorting will be run on the data preprocessed by configs_dict_2.
As such, it is recommended to save the preprocessed data only when
configurations have been decided on.
Ways to run the sorter#
The run_sorter_method argument specifies the method used to run the sorter.
These are based on the extensive options provided by the SpikeInterface package,
which provide great flexibility in ways that sorters can be run. The options are:
"local":Used if the sorter can be run in the current python environment, (i.e. it is a sorter written in Python, such as
"kilosort4"or"spykingcircus2").- A
Pathobject: A path to the sorter repository, if the sorter is written in Matlab (e.g. kilosort 1-3,
"waveclus") and Matlab is installed on your system. For example, to run kilosort 2.5 download their repository (note the branch is changed to ‘kilosort25’) then pass a path to theKilosortdirectory."singularity":Use singularity to run the sorter in a container. This is useful is you want to run a sorter written in Matlab, but do not have Matlab available on your system. Under the hood, Matlab is pre-installed in the singularity image. Singularity images will be downloaded and saved in a
sorter_imagesfolder at the same level asrawdata/derivatives. Download is only required once, then the images shared across the entire project."docker":Run the sorter in a docker image. The docker client will manage the downloading of sorters.
Sorting Configs#
A configurations dictionary (see Managing Configs) is structured like:
config_dict = {
"preprocessing": {
"1": ["phase_shift", {}],
"2": ["bandpass_filter", {"freq_min": 300, "freq_max": 6000}],
"3": ["common_reference", {"operator": "median"}]
},
"sorting": {
"mountainsort5": {"filter": False}}
}
The spikewrap.Session.sort function will accept the name
of the stored config file, the full config dictionary such as above,
or the “sorting” sub-dictionary, e.g.:
sorting_dict = {"sorting": {"mountainsort5": {"filter": False}}}
session.sort(
configs=sorting_dict, run_sorter_method="local"
)
The sorter name (e.g. "mountainsort5") should make the
SpikeInterface sorter name,
while the keyword-arguments should match the sorter-specific arguments.These can be found at the
corresponding source code files for the SpikeInterface sorter, e.g.
kilsort2_5,
kilsort4,
mountainsort5 or
spykingcircus2”.
Total running time of the script: (3 minutes 23.710 seconds)
