Cognitive & Neural Systems
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CAS CN 530: Neural and Computational Models of Vision
Current models of mammalian visual processes are constrained by experimental and theoretical results from psychology, physiology, computer science, and mathematics. The course evaluates the explanatory adequacy of competing neural and computational models of such processes as edge detection, textural grouping, shape-from-shading, stereopsis, motion detection, and color perception. Students perform computer simulations of some of the examined models. -
CAS CN 560: Neural and Computational Models of Speech Perception and Production
Covers auditory perception, physiology, and modeling. Examines how sound is transduced and transmitted through the auditory pathway. Introduces and uses basic mathematical concepts from signal processing, probability, signal detection theory, and psychophysical methods. Also offered as CAS NE 560. -
GRS CN 780: Topics in Computational Neuroscience
In this seminar, recent research papers and applications in computational neuroscience are reviewed. Topics covered include cortical modeling, analog VLSI, active perception, robotic control, stereo vision, and computer-aided neuroanatomy.

