spike-sorting
CommunityReproducibly sort extracellular spikes
System Documentation
What problem does it solve?
It turns raw extracellular multi-electrode recordings into per-unit spike trains by running an automated spike sorting pipeline and producing quality-controlled results.
Core Features & Use Cases
- Automated spike sorting pipeline: Load multi-channel recordings, preprocess signals, run Kilosort2/Kilosort4 or Mountainsort5, and generate unit spike trains.
- Quality metrics for curation: Compute SNR, ISI violations, presence ratio, amplitude cutoff, and firing rate to identify well-isolated units.
- Export for downstream analysis: Export curated results to Phy and/or CSV for manual inspection and population analyses.
For example, a neuroscientist processing a Neuropixels session with hundreds of channels can run sorter(s) end-to-end, filter out low-quality units using metric thresholds, and export the remaining units to Phy for rapid manual validation.
Quick Start
Use the spike-sorting skill to produce curated, unit-level spike trains from your extracellular recording and export them for Phy curation.
Dependency Matrix
Required Modules
None requiredComponents
Standard packageđź’» Claude Code Installation
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Please help me install this Skill: Name: spike-sorting Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#spike-sorting Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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