Neuropixels Data Analysis
Overview
Toolkit for analyzing Neuropixels high-density neural recordings using current best practices from SpikeInterface, the Allen Institute, and the International Brain Laboratory (IBL). It covers the full workflow from raw data to publication-ready curated units.
All examples use the real SpikeInterface API (spikeinterface.full as si) plus the
companion curation module (spikeinterface.curation as sc). The skill ships runnable
scripts in scripts/ and a copy-and-edit template in assets/ that implement this
workflow directly on top of SpikeInterface — there is no separate package to install
beyond the dependencies listed under Installation.
When to Use This Skill
This skill should be used when:
- Working with Neuropixels recordings (
.ap.bin,.lf.bin,.metafiles) - Loading data from SpikeGLX, Open Ephys, or NWB formats
- Preprocessing neural recordings (filtering, common reference, bad-channel detection)
- Detecting and correcting motion/drift
- Running spike sorting (Kilosort4, SpykingCircus2, Mountainsort5, Tridesclous2)
- Computing quality metrics (SNR, ISI violation…