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COGS 118CNeural Signal Processing

4 units · COGS · UC San Diego

This course will cover theoretical foundations and practical applications of signal processing to neural data. Topics include EEG/field potential methods (filtering, Fourier (spectral) analysis, coherence) and spike train analysis (reverse correlation, spike sorting, multielectrode recordings). Some applications to neural imaging (optical microscopy, fMRI) data will also be discussed.

Before you enroll

Prerequisites

You need one from each line:

Where it fits

Where it sits in degree plans

Required in (3)

  • Cognitive Science with Specialization in Design and Interaction (B.S.)
  • Cognitive Science with Specialization in Language and Culture (B.S.)
  • Cognitive Science with Specialization in Machine Learning and Neural Computation (B.S.)

One of the options in (2)

  • Cognitive Science (B.S.)
  • Cognitive Science with Specialization in Clinical Aspects of Cognition (B.S.)
What it opens up

Courses that list COGS 118C as a prerequisite (1)