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title: README
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## UNDER CONSTRUCTION 🚧🚧🚧


This space hosts pre-trained models used for electrophysiology analysis and spike sorting through the [SpikeInterface](https://spikeinterface.readthedocs.io/en/latest/) Python package.

The collection of pre-trained models can include:

- models for Deep Learning based denoising, like [DeepInterpolation](https://www.nature.com/articles/s41592-021-01285-2)
- 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](https://www.biorxiv.org/content/10.1101/2020.03.18.997924v1))


### Contacts

For questions, please contact [Heberto Ramon Mayorquin](ramon.mayorquin@catalystneuro.com) or [Alessio Buccino](alessio.buccino@alleninstitute.org)