Models designed for automated curation of sorted ephys data.
SpikeInterface
non-profit
AI & ML interests
Spike sorting, electrophysiology, high-density neural probes
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UNDER CONSTRUCTION 🚧🚧🚧
This space hosts pre-trained models used for electrophysiology analysis and spike sorting through the SpikeInterface Python package.
The collection of pre-trained models can include:
- models for Deep Learning based denoising, like DeepInterpolation
- models for curation of spike sorting results, e.g., built on quality metrics
- models used internally by spike sorting algorithms, such as Neural Network-based waveform denoising (as in YASS)
Contacts
For questions, please contact Heberto Mayorquin or Alessio Buccino
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