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.auto_label_units function.

Contacts

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