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eeg-epoch

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Epoch EEG data with trial-level artifact rejection.

Education & Research#event markers#eeg#mne#artifact rejection#epoching#autoreject#trial counts
Authordengzhe-hou
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill turns cleaned continuous EEG into event-locked epochs and removes bad trials so you can compute reliable ERPs/TFRs and downstream statistics.

Core Features & Use Cases

  • Event-locked epoching from your experiment markers: extracts events from triggers, annotations, or BIDS-style sidecars, then maps them using DATASET_BRIEF condition codes.
  • Baseline correction with guardrails: applies a configurable pre-stimulus baseline window (or skips it safely when appropriate for the analysis design).
  • Trial-level artifact rejection via AutoReject: runs AutoReject to reject or interpolate artifact-contaminated trials and logs decisions per subject.

Quick Start

Use eeg-epoch with your project directory to segment ICA-cleaned EEG into epochs around your event markers, rejecting bad trials and producing epoch-stage outputs ready for analysis.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: eeg-epoch
Download link: https://github.com/dengzhe-hou/auto-eeg-analysis/archive/main.zip#eeg-epoch

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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