bio-neuropixels-analysis

To analyze Neuropixels extracellular electrophysiology data end-to-end, you load raw SpikeGLX or OpenEphys recordings, run Kilosort4 for spike sorting, compute quality metrics, and automatically curate units using Allen Institute criteria.

Yes, SpikeInterface supports automated unit curation for high-density neural recordings by integrating quality metrics and Allen/IBL standards to evaluate and filter sorted units during the analysis pipeline.

Yes, you can use Kilosort4 with OpenEphys data formats. The toolkit handles flexible data loading for common Neuropixels formats, enabling seamless preprocessing and spike sorting on OpenEphys recordings.

The best way to apply motion correction to extracellular electrophysiology data is using the integrated SpikeInterface pipeline, which standardizes preprocessing steps before running spike sorting algorithms like Kilosort4.

AI-assisted unit curation in a spike sorting pipeline works by applying predefined Allen Institute and IBL criteria to automatically evaluate computed quality metrics, filtering out noise or poorly isolated units without manual intervention.

IBL standards are not strictly required but are natively supported. The toolkit integrates Allen Institute criteria and IBL standards to evaluate quality metrics, allowing you to choose the appropriate framework for curating your neural recordings.