MOTION_CORRECTION

Mechanical drift during acute probe insertion is a major challenge for Neuropixels recordings. This guide covers detection, estimation, and correction of motion artifacts.

Skills
Scientific
0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
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Install (Claude Code)

mkdir -p .claude/skills/motion-correction && curl -fsSL https://doutorai.pt/data/lib/skills__motion-correction.md -o .claude/skills/motion-correction/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Motion/Drift Correction Reference

Mechanical drift during acute probe insertion is a major challenge for Neuropixels recordings. This guide covers detection, estimation, and correction of motion artifacts.

## Why Motion Correction Matters

- Neuropixels probes can drift 10-100+ μm during recording
- Uncorrected drift leads to:
  - Units appearing/disappearing mid-recording
  - Waveform amplitude changes
  - Incorrect spike-unit assignments
  - Reduced unit yield

## Detection: Check Before Sorting

**Always visualize drift before running spike sorting!**

```python
import spikeinterface.fu

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