eeg-behavior

What problem does it solve?

This Skill turns EEG epoch data plus trial event/behavior logs into reproducible behavioral summaries and tests that connect reaction time and accuracy to trial-level EEG features.

Core Features & Use Cases

• RT/accuracy descriptive statistics with guardrailed cleaning: computes RT distributions (with IQR-based outlier removal), condition-wise summaries, and accuracy metrics (including d-prime and criterion, plus optional IES).
• Speed–accuracy tradeoff and performance dynamics: supports conditional accuracy and delta-style analyses to describe how performance changes across RT quantiles.
• EEG-behavior linking with trial-level modeling: runs recommended single-trial regression (predictor = ROI mean amplitude in a time window; outcome = RT or accuracy) and offers median-split or across-subject correlation as alternatives.
• Use when: you need behavioral analysis (RT/accuracy), want to test whether an EEG effect predicts RT/accuracy (e.g., “does N2 predict RT”), or need brain–behavior correlation/regression integrated into your pipeline.

Quick Start

Use the eeg-behavior skill for your study directory by providing your analysis context, then request RT/accuracy measures and an EEG-behavior linking method such as regression.