Feature Overview

(2 minute read)

spikewrap provides a Python interface for managing and sharing standardized extracellular electrophysiology pipelines.

Built on SpikeInterface, spikewrap places emphasis on delivering standardised outputs and materials for convenient data quality checks.

Attention

spikewrap is currently in a consultation stage, where feedback on the workflow is being actively solicited. New features—such as sorting, subject-level analysis, quality checks and additional preprocessing steps—are planned for implementation soon.

Please get in contact with feedback and suggestions!

Running spikewrap

spikewrap expects a project to be organised either in NeuroBlueprint format (which is recommended), for example:

SpikeGLX

└── rawdata/
    └── sub-001_.../
        └── ses-001_.../
            └── ephys/
                ├── run-001_g0_imec0/
                │   ├── run-001_g0_t0.imec0.ap.bin
                │   └── run-001_g0_t0.imec0.ap.meta
                └── run-002_g0_imec0/
                │   ├── ...
                └── ...

OpenEphys

└── rawdata/
    └── sub-001_.../
        └── ses-001_.../
            └── ephys/
                └── Recording Node <ID>/
                    └── experiment1/
                        ├── recording1/
                        │   └── ...
                        └── recording2/
                        │   └── ...
                        └── ...

or in custom formats with subject, session and recording folder levels as below:

Supported Custom Organisation

SpikeGLX

└── root_folder>/
    └── my_subject_name/
        └── my_session_name/
            ├── run-001_g0_imec0/
            │   ├── run-001_g0_t0.imec0.ap.bin
            │   └── run-001_g0_t0.imec0.ap.meta
            └── run-002_g0_imec0/
            │   ├── ...
            └── ...

OpenEphys

In the OpenEphys case, the input data would look like:

└── root_folder/
    └── my_subject_name/
        └── my_session_name/
            └── Recording Node <ID>/
                └── experiment1/
                    ├── recording1/
                    │   └── ...
                    └── recording2/
                    │   └── ...
                    └── ...

Recordings acquired with SpikeGlx or OpenEphys are currently supported (see Supported Formats for details). Neuropixels probes are automatically detected, otherwise a probe argument can be used to set ProbeInterface objects.

We can preprocess, visualise and save a recording session with a few function calls:

import spikewrap as sw

subject_path = sw.get_example_data_path() / "rawdata" / "sub-001"


session = sw.Session(
    subject_path=subject_path,
    session_name="ses-001",
    file_format="spikeglx",  # or "openephys"
    run_names="all",
    probe=None,  # optional argument to set probe
)

session.save_sync_channel()

# Run (lazy) preprocessing, for fast plotting
# and prototyping of preprocessing steps

session.preprocess(
    configs="neuropixels+mountainsort5",
    per_shank=True,
    concat_runs=False,
)

plots = session.plot_preprocessed(
    run_idx=0,
    time_range=(0, 0.5),
    show_channel_ids=False,
    show=True
)

# Write preprocessed data to disk, optionally
# in a SLURM job (if on a HPC)

session.save_preprocessed(
    overwrite=True,
    n_jobs=12,
    slurm=False
)

# In this example, runs were preprocessed separately,
# and are concatenated together before sorting.
session.sort(
    configs="neuropixels+mountainsort5",
    run_sorter_method="local",
    concat_runs=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

Split run: run-002_g0_imec0 by shank. There are 2 shanks.

Split run: run-001_g0_imec0 by shank. There are 2 shanks.
/opt/hostedtoolcache/Python/3.11.11/x64/lib/python3.11/site-packages/spikeinterface/widgets/traces.py:150: UserWarning: You have selected a time after the end of the segment. The range will be clipped to 0.4999999999999989
  warnings.warn(
/opt/hostedtoolcache/Python/3.11.11/x64/lib/python3.11/site-packages/spikeinterface/widgets/traces.py:150: UserWarning: You have selected a time after the end of the segment. The range will be clipped to 0.4999999999999989
  warnings.warn(

Saving data for: run-002_g0_imec0...
write_binary_recording
engine=process - n_jobs=4 - samples_per_chunk=60,000 - chunk_memory=21.97 MiB - total_memory=87.89 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 [00:00<00:00,  2.49it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00,  2.49it/s]
write_binary_recording
engine=process - n_jobs=4 - samples_per_chunk=60,000 - chunk_memory=21.97 MiB - total_memory=87.89 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 [00:00<00:00,  2.45it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00,  2.45it/s]

Saving data for: run-001_g0_imec0...
write_binary_recording
engine=process - n_jobs=4 - samples_per_chunk=60,000 - chunk_memory=21.97 MiB - total_memory=87.89 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 [00:00<00:00,  2.50it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00,  2.50it/s]
write_binary_recording
engine=process - n_jobs=4 - samples_per_chunk=60,000 - chunk_memory=21.97 MiB - total_memory=87.89 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 [00:00<00:00,  2.35it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00,  2.35it/s]
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,  1.23it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00,  1.23it/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, 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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], [136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [144, 145, 146, 147, 148, 149, 150, 151, 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], [144, 145, 146, 147, 148, 149, 150, 151, 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], [146, 147, 148, 149, 150, 151, 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], [146, 147, 148, 149, 150, 151, 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], [148, 149, 150, 151, 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], [148, 149, 150, 151, 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], [150, 151, 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], [150, 151, 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], [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], [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], [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], [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], [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], [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], [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], [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], [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], [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], [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], [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], [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], [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 135 spikes
*** MS5 Elapsed time for detect_spikes: 0.197 seconds ***
Removing duplicate times
*** MS5 Elapsed time for remove_duplicate_times: 0.000 seconds ***
Extracting 134 snippets
*** MS5 Elapsed time for extract_snippets: 0.178 seconds ***
Computing PCA features with npca=576
*** MS5 Elapsed time for compute_pca_features: 0.063 seconds ***
Isosplit6 clustering with npca_per_subdivision=10
Found 5 clusters
*** MS5 Elapsed time for isosplit6_subdivision_method: 0.021 seconds ***
Computing templates
*** MS5 Elapsed time for compute_templates: 0.014 seconds ***
Determining optimal alignment of templates
Template alignment converged.
Align templates offsets:  [ 0 -8  0  1  0]
*** MS5 Elapsed time for align_templates: 0.025 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: 0.063 seconds ***
Isosplit6 clustering with npca_per_subdivision=10
*** MS5 Elapsed time for isosplit6_subdivision_method: 0.014 seconds ***
Found 3 clusters after alignment
Computing templates
*** MS5 Elapsed time for compute_templates: 0.014 seconds ***
Offsetting times to peak
Offsets to peak: [-20   0   1]
*** 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: 0.609 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: 0.513 seconds ***
Adding snippets from phase 1 sorting
Fitting models
*** MS5 Elapsed time for SCHEME2 fitting models: 37.190 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 139 spikes in chunk 1 of 1
*** MS5 Elapsed time for SCHEME2 detecting spikes: 0.256 seconds ***
Extracting and classifying snippets
*** MS5 Elapsed time for SCHEME2 extracting and classifying snippets: 0.224 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 48.62s
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,  1.22it/s]
write_binary_recording (workers: 1 processes): 100%|██████████| 1/1 [00:00<00:00,  1.22it/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: [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, 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141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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], [138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 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, 144, 145, 146, 147, 148, 149, 150, 151, 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, 144, 145, 146, 147, 148, 149, 150, 151, 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, 146, 147, 148, 149, 150, 151, 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, 146, 147, 148, 149, 150, 151, 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, 148, 149, 150, 151, 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, 148, 149, 150, 151, 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, 150, 151, 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, 150, 151, 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, 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, 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 29 spikes
*** MS5 Elapsed time for detect_spikes: 0.192 seconds ***
Removing duplicate times
*** MS5 Elapsed time for remove_duplicate_times: 0.000 seconds ***
Extracting 26 snippets
*** MS5 Elapsed time for extract_snippets: 0.187 seconds ***
Computing PCA features with npca=576
*** MS5 Elapsed time for compute_pca_features: 0.009 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: 0.422 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: 0.510 seconds ***
Adding snippets from phase 1 sorting
Fitting models
*** MS5 Elapsed time for SCHEME2 fitting models: 34.826 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, 186, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 7, 187, 188, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 188, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 9, 189, 190, 191], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 190], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 191], [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], [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 31 spikes in chunk 1 of 1
*** MS5 Elapsed time for SCHEME2 detecting spikes: 0.243 seconds ***
Extracting and classifying snippets
*** MS5 Elapsed time for SCHEME2 extracting and classifying snippets: 0.096 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 45.99s

with data output to the standardised NeuroBlueprint structure:

└── root_folder/
    └── derivatives/
        └── sub-001/
            └── ses-001  /
                └── ephys/
                    ├── run-001_g0_imec0/
                    │   ├── preprocessed/
                    │   │   ├── shank_0/
                    │   │   │   └── si_recording/
                    │   │   │       └── <spikeinterface_binary>
                    │   │   └── shank_1/
                    │   │       └── si_recording/
                    │   │           └── <spikeinterface_binary>
                    │   └── sync/
                    │       └── sync_channel.npy
                    ├── run-002_g0_imec0/
                    │   └── preprocessed/
                    │       └── ...
                    └── concat_run/
                        └── sorting/
                            ├── shank_0/
                            │   └── ...
                            └── ...

Next, visit Get Started and Tutorials to try out spikewrap.