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title: README
emoji: 🏢
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colorTo: indigo
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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