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Class Detail:

FA 2005
Psychology
PSYCH 643 - Theory of Neural Computation
Section 001

Credits: 2 - 4
Advisory Prerequisites: Graduate standing.
Repeatability: May not be repeated for credit.
Cross-Listed Classes:
EECS 643 - Thry Neural Comp, Section 001
Primary Instructor: Zhang,Jun

 

(real time availability for all sections)

This graduate course will introduce computational models of information processing in mammalian central nervous system. Topics include models of single neuron, artificial neural network (connectionism), and neural organization and architecture. This term, we will place our emphasis on reinforcement learning algorithms for Markov decision framework that has been a hot topic in machine learning in recent years (temporal difference method, Q-learning, and related algorithms). Students may elect the course for 2-4 credits per arrangement with the instructor.


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