NEUR 382 - INTRODUCTION TO COMPUTATIONAL NEUROSCIENCE
Introduction to methods and theories used to describe and understand neural information processing in the brain. Models covered will range from single neuron to networks for sensory, motor and learning tasks. Programming exercises
will be done using Matlab. Cross-list: ELEC 382. Recommended Prerequisite(s): CAAM 210.
Topics: Single Compartment and Extended Neuron Models, Population Models, Learning Theory, Single and Multi-‐Layer Neural Networks, Population Coding and Decoding, Bayesian Models, Deep Neural Networks
Instructors: Fabrizio Gabbiani (Baylor College of Medicine), Harel Shouval (UTHSC), Xaq Pitkow (Baylor College of Medicine), Ankit Patel (Baylor College of Medicine) >
Syllabus: available on ESTHER