README.md

metadata

license: mit

Model description

A toy model, trained on toy data generated from spikeinterface.

Intended use

Used to try out automated curation in SpikeInterface.

How to Get Started with the Model

This can be used to automatically label a sorting in spikeinterface. Provided you have a sorting_analyzer, it is used as follows

    from spikeinterface.curation import auto_label_units
    labels = auto_label_units(
        sorting_analyzer = sorting_analyzer,
        repo_id = "SpikeInterface/toy_tetrode_model",
        trusted = ['numpy.dtype']
    )

or you can download the entire repositry to a_folder_for_a_model, and use

    from spikeinterface.curation import auto_label_units

    labels = auto_label_units(
        sorting_analyzer = sorting_analyzer,
        model_folder = "SpikeInterface/a_folder_for_a_model",
        trusted = ['numpy.dtype']
    )

Authors

Chris Halcrow