Learn to read EEG on real recordings
A PhD-level, fully interactive electroencephalography course for neurology residents and EEG technologists — montages, filters, the 10-20 system, and live waveform analysis, all in your browser.
A real EEG, right now
Healthy adult, eyes open then closed. Jump to the events and watch the alpha rhythm block and return. Change the montage, sensitivity, and filters live.
Real recordings, not cartoons
Every clinical concept is anchored to genuine scalp EEG from open PhysioNet datasets — alpha reactivity, a real electrographic seizure, and staged sleep.
Live, interactive models
Re-montage, filter, and re-reference real traces in the browser. Generate rhythms, localize a focus by phase reversal, and watch filters reshape the signal.
Graduate-level, free forever
A 36-module, PhD-level curriculum across 11 pillars — from the biophysics of the membrane to computational neurophysiology and diagnostic error science. No login, no paywall.
36 modules, 11 pillars
A complete graduate program — from the biophysics of the membrane to computational neurophysiology and an integrative capstone.
Bioelectricity, signal genesis, recording systems, and acquisition.
Normal rhythms, state dependence, and functional neurophysiology.
Physiologic and technical artifacts and benign mimics.
Interictal discharges, ictal patterns, status, and syndromes.
Metabolic/toxic, hypoxic-ischemic, ICU monitoring, and prognosis.
Sleep architecture and the EEG of sleep disorders.
Thalamocortical dynamics, network theory, and cognition.
Routine, long-term, ICU, and neonatal interpretation.
qEEG, signal processing, machine learning, and BCI.
Pattern recognition, pitfalls, cognitive bias, and evidence.
The capstone synthesis — EEG as cortical network dynamics.