EC ENGR C243A

Neural Signal Processing

Electrical and Computer Engineering · 4 units · Graduate courses (200-299)

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Topics include fundamental properties of electrical activity in neurons; technology for measuring neural activity; spiking statistics and Poisson processes; generative models and classification; regression and Kalman filtering; principal components analysis, factor analysis, and expectation maximization. Concurrently scheduled with course C143A.

Letter grading.

When it runs

Fall 2025

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.

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Requisites

Official UCLA wording
Requisites: course 131A, Mathematics 33A.

BruinTree reads · Prerequisite

confidence 1.00 · from text

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Requires

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

EC ENGR C243A

EC ENGR 131AProbability and Statistics
- MATH 32BCalculus of Several Variables
  - MATH 31BIntegration and Infinite Seriesanother path to it
  - MATH 32ACalculus of Several Variablesanother path to it
- MATH 33BDifferential Equations

Unlocks

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

No course in the catalog lists this as a requisite.