CN 530: Neural and Computational
Models of Vision -- Fall, 2007
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.
Mathematically specified neural and computational
models elucidate the structure and dynamics of the mammalian visual system.
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
some of 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 Tuesdays, 4:00-7:00 PM, with a discussion hour to be arranged on a different day. Lectures
are in Room B03, 677 Beacon Street. Prerequisites : CN 510, or consent
of instructor, Ennio
Mingolla
Course syllabus
(html)
Download
study packet (PDF)
Lecture
notes in PDF format are available for downloading. Notes are created from
Powerpoint files, and contain occasional glitches from animations, etc. If you
want copies of the original .ppt files, please contact ennio-at-cns.bu.edu
Week
1 Week 2
Week 3
Week 4
Updated 6 Sep 2007
Please
direct all queries and bug reports to:
ennio-at-cns.bu.edu