SpikeInterface

This space hosts pre-trained models used for electrophysiology analysis and spike sorting through the SpikeInterface Python package.

Examples of models that can be part of this repo are:

• models for curation of spike sorting results, e.g., built on quality metrics
• models for Deep Learning based denoising, like DeepInterpolation
• models used internally by spike sorting algorithms, such as Neural Network-based waveform denoising (as in YASS)

Available models

Curation models

Models to automatically curate spike sorting outputs through the spikeinterface.curation.unitrefine_label_units function.

SortingComponents models

Models for the sortingcomponents module of SpikeInterface, e.g. for waveform denoising based in neural networks.

Contacts

For questions, please contact Chris Halcrow, Heberto Mayorquin, or Alessio Buccino