Individual skill
neuropixels-analysis
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.
plugins/KalarisLabs/research-agent-skills/skills/neuropixels-analysis/SKILL.md
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- Last checked
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- Nov 6, 2026
- License
- Apache-2.0
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Read excerpt
# Neuropixels Data Analysis
## Overview
Toolkit for analyzing Neuropixels high-density neural recordings using current best
practices from [SpikeInterface](https://spikeinterface.readthedocs.io/), 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](#installation).