<p>Lecture, three hours. Recommended preparation: one term of graduate level statistics, biostatistics. Understanding of neural origins of electroencephalography (EEG), common and advanced methods for experiment designs, EEG recording and noise reduction, data processing, feature extractions, and biomarker development. Students design simple experimental paradigms to answer some fundamental perceptual and cognitive questions, de-noise already recorded EEG and extract useful information using popular EEG processing interfaces such as EEGLAB and BrainStorm, perform some common statistical tests on the extracted featured and explain achieved results, and navigate through state-of-the-art analyses and applications of EEG. Letter grading.</p>

Neuroscience, Graduate

The school is a groundbreaking community of problem solvers, caregivers, innovators, and life-long learners with a noble mission: to heal humankind by delivering leading-edge research, education, patient care, and community engagement.

David Geffen School of Medicine

The program prepares students for careers in neuroscience research and education through an integrated approach to study of the nervous system.

General Catalog

Electroencephalography Methods and Analysis I

NEURO 286A

4 units