The University of Texas at Austin 3 credits Neuroscience
Introduction to computational neuroscience. Examines neural network and learning theory, coding, dynamics, memory, computation and learning in recurrent and feed forward neural circuits. Only one of the following may be counted: Electrical Engineering 385V (Topic: Computational Neuroscience), Neuroscience 380C, 385L (Topic: Computational Neuroscience). Three lecture hours a week for one semester. Pre/Corequisites: Graduate standing, some differential equations and linear algebra, and consent of instructor.
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