neuropixels-analysis

Spike sorting and drift correction on Neuropixels recordings are automated through an end-to-end pipeline that preprocesses raw data, applies motion correction, and outputs curated units. It supports SpikeGLX, Open Ephys, and NWB formats.

AI-assisted curation for spike sorting is an automated step that evaluates quality metrics to refine sorted units. It helps labs produce reliable unit tables for cross-session comparisons and analyses, reducing manual curation effort.

Yes, you can process NP2.0 data using SpikeInterface. The workflow supports both NP1.0 and NP2.0 formats, leveraging SpikeInterface and ProbeInterface dependencies to handle raw neural recordings end-to-end.

The best way to export Phy-ready results is by running the automated end-to-end analysis pipeline. It processes raw neural recordings into curated units and exports comprehensive quality metrics suitable for publication.

No, you do not need to manually handle preprocessing. The pipeline automates preprocessing, motion correction, and spike sorting sequentially, ensuring reproducible workflows from raw data directly to curated units.

Drift correction matters for cross-session Neuropixels comparisons because it stabilizes probe motion artifacts across recordings. Correcting this drift ensures that quality metrics and sorted units remain reliable for downstream analysis.