NEURO 286A

Electroencephalography Methods and Analysis I

Neuroscience, Graduate · 4 units · Graduate courses (200-299)

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Students master fundamentals of electroencephalograph (EEG), including understanding of neural origins of EEG signals, principles of data recording, standard methods for experiment designs, data processing, feature extraction, and most common statistical approaches to inference.

Letter grading.

When it runs

Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.

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Requisites

Official UCLA wording
Recommended preparation: one term of graduate level statistics, biostatistics.

BruinTree reads · Recommended

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BruinTree could not read this requirement — see UCLA’s wording above.

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Requires

Everything that has to come before this course, not just the courses named in the requisite above.

Nothing — this is an entry point.

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

NEURO 286A

NEURO 286BElectroencephalography Methods and Analysis II

1 course lists this as a requisite. The whole downstream is here — 1 course over 1 level. Every course here opens its own tree.