neuropixels-analysis

You can automate spike sorting for Neuropixels electrophysiology data by running a full pipeline that handles preprocessing, motion correction, and quality metric computation using SpikeInterface and Kilosort.

Yes, the spike sorting pipeline supports Open Ephys, SpikeGLX, and NWB data formats, allowing you to process high-density extracellular electrophysiology recordings directly from these standard formats.

Yes, you can use AI-assisted unit curation for extracellular electrophysiology recordings by leveraging vision-language models through the Anthropic API to classify uncertain units and reduce manual review time.

The best way to run Kilosort4 on multi-hour Neuropixels recordings is to use an automated workflow that detects drift, applies motion correction, performs spike sorting, and generates a quality report for all identified units.

Yes, you need SpikeInterface to process high-density extracellular neural data, as it is a required dependency for automating the preprocessing, spike sorting, and quality assessment pipeline.

Spyking Circus and Mountainsort5 are supported as spike sorting dependencies, but the pipeline's automated AI-assisted curation and motion correction are optimized for Kilosort4 workflows on high-density recordings.