How does the AI-assisted curation work with Claude?

Claude can directly analyze waveform and correlogram plots to provide expert curation decisions on borderline units based on SNR, ISI violations, and presence ratios.

Does this skill follow standard neuroscience data protocols?

Yes, it implements curation criteria and workflows standardized by the Allen Institute and the International Brain Laboratory (IBL).

Do I need a GPU to use the spike sorting features?

While preprocessing and several sorters run on CPU, GPU acceleration is required for Kilosort4 to achieve 10-50x faster processing speeds.

Can I import data from SpikeGLX or Open Ephys?

Yes, the skill natively supports .ap.bin, .lf.bin, and .meta files from SpikeGLX, as well as .continuous and .oebin files from Open Ephys.

Which Neuropixels probes are supported by this skill?

The skill supports Neuropixels 1.0, 2.0 single-shank, and 2.0 multi-shank (4-shank) probes, including necessary corrections like phase_shift for 1.0 models.

Neuropixels Neural Analysis

Name: Neuropixels Neural Analysis
Author: x-cmd

byx-cmd

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データサイエンスとML

Analyzes high-density Neuropixels recordings with automated preprocessing, spike sorting, and AI-assisted quality curation.

This skill provides a comprehensive toolkit for neuroscientists working with Neuropixels 1.0 and 2.0 extracellular electrophysiology data. It streamlines the entire pipeline from raw data ingestion (SpikeGLX, Open Ephys) to publication-ready units by integrating best practices from SpikeInterface, the Allen Institute, and the International Brain Laboratory (IBL). Key capabilities include automated motion correction, Kilosort4 integration, rigorous quality metric calculation, and a unique AI-assisted visual curation feature for borderline units, ensuring high-fidelity results for complex neural recording projects.

主な機能

01Advanced drift estimation and non-rigid motion correction presets

02Support for Neuropixels 1.0/2.0 probes and SpikeGLX/OpenEphys/NWB formats

03Integrated spike sorting support for Kilosort4 and CPU-based alternatives

04AI-assisted visual analysis for expert-level unit curation and quality control

05Full SpikeInterface workflow integration for seamless data processing

069 GitHub stars

ユースケース

01Automating quality metric calculations and curation based on Allen/IBL standards

02Processing large-scale high-density extracellular recordings for spike sorting

03Visualizing neural waveforms and drift maps for publication-grade data validation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add x-cmd/skill neuropixels-analysis

For use in Claude.ai and ChatGPT

Download Skill