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- ## UNDER CONSTRUCTION 🚧🚧🚧
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  This space hosts pre-trained models used for electrophysiology analysis and spike sorting through the [SpikeInterface](https://spikeinterface.readthedocs.io/en/latest/) Python package.
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- The collection of pre-trained models can include:
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- - models for Deep Learning based denoising, like [DeepInterpolation](https://www.nature.com/articles/s41592-021-01285-2)
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  - models for curation of spike sorting results, e.g., built on quality metrics
 
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  - 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))
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  ### Contacts
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- For questions, please contact [Heberto Mayorquin]([email protected]) or [Alessio Buccino]([email protected])
 
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  This space hosts pre-trained models used for electrophysiology analysis and spike sorting through the [SpikeInterface](https://spikeinterface.readthedocs.io/en/latest/) Python package.
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+ Examples of models that can be part of this repo are:
 
 
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  - models for curation of spike sorting results, e.g., built on quality metrics
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+ - models for Deep Learning based denoising, like [DeepInterpolation](https://www.nature.com/articles/s41592-021-01285-2)
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  - 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))
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+ ## Available models
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+ ### [Curation models](https://huggingface.co/collections/SpikeInterface/curation-models-66ebf53d7f17088991062c2c)
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+ Models to automatically curate spike sorting outputs through the `spikeinterface.curation.auto_label_units` function.
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  ### Contacts
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+ For questions, please contact [Chris Halcrow]([email protected]), [Heberto Mayorquin]([email protected]), or [Alessio Buccino]([email protected])