Individual skill
eeg-signal-processing
EEG preprocessing and analysis — filtering, artifact removal, time-frequency decomposition, and ERP workflows.
skills/eeg-signal-processing/SKILL.md
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## Overview
eeg-signal-processing covers the full EEG analysis pipeline: from raw multichannel recordings to
interpretable neural measures. It emphasizes principled preprocessing (filtering, re-referencing,
artifact rejection), the major analysis families (ERPs, time-frequency, connectivity), and the
statistical discipline that noisy, high-dimensional EEG data demands.
EEG has millisecond temporal resolution but poor spatial resolution and a terrible signal-to-noise
ratio — most of the work is removing everything that is not brain signal while proving you did not
remove the brain signal too.
## When to use
- Designing an EEG experiment: sampling rate, electrode montage, reference choice, trial counts.