Spike interface is split in 5 modules. Here are tutorials for each one.

Extractors tutorials

The extractors module imports the spikeextractors package. It is designed to load and save recorded and sorted data and to handle probe information.

  • RecordingExtractor
  • SortingExtractor
  • Handling probe information

Toolkit tutorials

The toolkit module imports the spiketoolkit package. It allows users to preprocess and postprocess the data, to compute validation metrics, and to perform automatic curation of spike sorting outputs.

  • preprocessing
  • postprocessing
  • validation
  • curation

Sorters tutorials

The sorters module imports the spikesorters package. It wraps several spike sorting algorithms with the same simple Python API.

  • run sorters with different parameters
  • spike sort by property
  • use the sorter launcher

Comparison tutorials

The comparison module imports the spikecomparison package. It allows to compare spike sorting output with and without ground-truth information.