Analyze Neuropixels recordings from raw data to curated spike units.
npx skills add https://github.com/dralkh/seerai --skill neuropixels-analysis-dralkh
Please help me install this Agent Skill. Skill: neuropixels-analysis Source: https://github.com/dralkh/seerai/tree/main/skills/neuropixels-analysis Command: npx skills add https://github.com/dralkh/seerai --skill neuropixels-analysis-dralkh
This Skill removes the complexity of analyzing Neuropixels extracellular recordings by guiding you from raw acquisition files to curated, publication-ready units.
Ask the skill to analyze a Neuropixels recording from raw data through curated units, including preprocessing, motion correction, spike sorting, quality metrics, curation, and export.
High-intent search queries and answers about installing and using this skill.
To run spike sorting on Neuropixels recordings, load SpikeGLX, Open Ephys, or NWB files, apply preprocessing and motion correction, then execute sorters like Kilosort4 or CPU alternatives to extract units.
Motion correction in SpikeInterface involves checking for drift in the raw extracellular data and applying correction algorithms before spike sorting to ensure accurate unit detection across the recording duration.
Compute quality metrics on sorted units, then apply threshold-based rules, model-based UnitRefine labels, or AI-assisted review to curate the final spike units for publication-ready results.
Yes, you can export curated Neuropixels spike units to NWB files and Phy formats, generating summary reports and reusable analysis templates for fully reproducible extracellular electrophysiology workflows.
You do not strictly need Kilosort4; the workflow supports sorter backends such as Kilosort4 or CPU-based alternatives, allowing spike sorting on systems without GPU acceleration.
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