CN 530: Neural and Computational Models of Vision -- Spring, 2004

This course explores the psychological, biological, mathematical and computational foundations of visual perception. Lectures and readings combine with simulation and essay assignments to provide an intensive and self-contained examination of core issues in early and middle visual processing. The structure and dynamics of the mammalian visual system are elucidated by mathematically specified neural and computational models. Emphasis is placed on understanding the psychophysics and physiology of mammalian vision, both as a means of better understanding our own human intelligence, and as a foundation for tomorrow's machine vision architectures and algorithms. While the models developed in recent years at Boston University's Center for Adaptive Systems (CAS) and Department of Cognitive and Neural Systems (CNS) are covered in depth, selected models by a variety of researchers are compared and contrasted.

Meets on Wednesdays, 1:00-4:00 PM, Room B03, 677 Beacon Street. Prerequisites : CN 510, or consent of instructor, Ennio Mingolla .

Course syllabus  (html)

Download study packet (1.3 Mb)

Lecture notes in PDF format are available for downloading from the .bu.edu domain. If you want copies of the notes and cannot dowload them, please contact ennio@cns.bu.edu

Week 1 , Week 2 , Week 3 , Week 4 , Week 5 , Week 6 , Week 7 , Week 8 , Week 9 , Week 10 , Week 12   , Week13  , Week 14

Updated 13 Jan 2004

Please direct all queries and bug reports to: ennio@cns.bu.edu