Does this skill support Neuropixels 2.0 multi-shank probes?

Yes, it supports Neuropixels 1.0 and both single and 4-shank 2.0 probe geometries via the integrated SpikeInterface loaders.

Can I run Kilosort4 without a GPU using this skill?

While the skill supports CPU-based sorters like Mountainsort5 and SpykingCircus2, Kilosort4 specifically requires a CUDA-capable GPU for processing.

What data formats are supported for loading recordings?

The skill supports standard electrophysiology formats including SpikeGLX (.bin/.meta), Open Ephys (.oebin), and NWB (.nwb) files.

How does AI-assisted curation work in Claude Code?

Claude can directly analyze waveform plots, correlograms, and unit metrics to provide expert classification decisions for borderline units that automated scripts might misidentify.

Can I export my results for manual review?

Yes, the skill includes built-in functions to export your analyzed and curated data directly to Phy for manual validation or NWB for long-term storage.

Neuropixels Neural Analysis

Name: Neuropixels Neural Analysis
Author: K-Dense-AI

byK-Dense-AI

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2,188

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データサイエンスとML

Streamlines high-density neural recording analysis, spike sorting, and quality metric computation for Neuropixels electrophysiology data.

The Neuropixels Analysis skill provides a comprehensive toolkit for neuroscientists to process extracellular electrophysiology data from raw recordings to publication-ready curated units. It integrates industry-standard frameworks like SpikeInterface with advanced spike sorting algorithms like Kilosort4, allowing users to perform preprocessing, motion correction, and automated curation using Allen Institute or IBL criteria. Whether managing massive datasets from Neuropixels 1.0 or 2.0 probes, this skill facilitates the complex workflow of loading SpikeGLX/OpenEphys data, visualizing waveforms, and exporting results to standard formats like Phy or NWB.

主な機能

01Automated motion estimation and non-rigid drift correction for long recordings

02Comprehensive quality metrics including SNR, ISI violations, and presence ratio

032,188 GitHub stars

04Integrated spike sorting with Kilosort4, SpykingCircus2, and Mountainsort5

05Full pipeline support for Neuropixels 1.0 and 2.0 (single and 4-shank) probes

06AI-assisted visual curation for expert-level unit classification and validation

ユースケース

01Standardizing quality control pipelines across multi-region high-density recordings

02Correcting significant probe drift using non-rigid motion correction algorithms

03Processing raw neural recordings into curated single-unit activity for research publications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills neuropixels-analysis

For use in Claude.ai and ChatGPT

Download Skill