Does this skill support Neuropixels 2.0?

Yes, it supports both Neuropixels 1.0 and 2.0 (including single-probe and 4-shank) probe geometries and electrode mappings.

How does the AI-assisted curation feature work?

It leverages Claude's vision capabilities to examine waveform plots and correlograms, providing expert-level classification decisions for borderline neural units that automated metrics might miss.

Which spike sorters can I use with this skill?

The skill supports Kilosort4 (which requires a GPU) as well as several CPU-based alternatives like SpykingCircus2, Mountainsort5, and Tridesclous2.

Can I export data for manual review in other tools?

Absolutely. The skill includes built-in functions to export processed data and analyzers to Phy for manual curation and NWB for standardized data sharing.

What raw data formats are supported?

It natively handles formats from major acquisition systems including SpikeGLX (.bin/.meta files), Open Ephys (.oebin), and Neurodata Without Borders (.nwb).

Neuropixels Data Analysis

Name: Neuropixels Data Analysis
Author: Sologa

bySologa

0•

データサイエンスとML

Streamlines the analysis of high-density neural recordings from Neuropixels probes through automated preprocessing, spike sorting, and quality curation.

This skill provides a comprehensive toolkit for analyzing Neuropixels 1.0 and 2.0 extracellular electrophysiology data, integrating industry-standard tools like SpikeInterface, Kilosort4, and Allen/IBL curation criteria. It automates the transition from raw data formats (SpikeGLX, Open Ephys) to publication-ready units by handling complex tasks such as motion correction, drift estimation, and AI-assisted visual curation. Whether you are computing quality metrics or exporting results to Phy/NWB, this skill ensures best practices for neuroscientific data workflows and high-throughput research.

主な機能

01AI-assisted visual analysis for expert unit curation

02Automated motion detection and non-rigid drift correction

03Standardized quality metrics including SNR and ISI violations

04Integrated spike sorting with Kilosort4 and CPU-based alternatives

05Support for Neuropixels 1.0 and 2.0 probe geometries

060 GitHub stars

ユースケース

01Automating spike sorting pipelines with advanced drift correction

02Validating and curating neural units using Allen Institute or IBL standards

03Processing large-scale extracellular electrophysiology datasets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sologa/codex-pipeline neuropixels-analysis

For use in Claude.ai and ChatGPT

Download Skill