klahr@csd2.UUCP (Phillip Klahr) (10/06/86)
For my Neuroscience qualifying exam, I am looking for articles,
books, or reviews that discuss the interface/contribution of AI research on
vision and memory to "Cognitive Neuroscience". By Cognitive Neuroscience, I
mean the study of theories and methods by which the different parts of the
brain go about processing information, such as vision and memory. To give you
an idea of "ancient works" I am starting with, I am already looking at:
Wiener's "Cybernetics", von Neumann's "The Computer and the Brain",
Rosenblatt's "Principles of Neurodynamics", Arbib's "Metaphorical Brain", and
Hebb's "The Organization of Behavior".
Some of the neurophysiology work I am looking at already includes work by
Mortimer Mishkin and Larry Squire on memory in the monkey.
Any pertinent references you can think of will be very much appreciated, and,
if there is any interest, I will post a summary of any responses I get.
Thank you very much.
Phillip Klahr Albert Einstein College of Medicine
klahr@NYU-CSD2.ARPA UUCP: {allegra, seismo, ihnp4} !cmcl2!csd2!klahrhersh@3d.dec.com (Harry Hersh Dtn 296-6718) (10/14/86)
Check out the two volume set, "Parallel Distributed Processing - Explorations in the Microstructure of Cognition" by McClelland and Rumelhart, MIT Press, 1986. In particular, the second volume is on Psychological and Biological models. The references you cite (e.g., Weiner, Hebb) are classics. However, there has been some significant breakthroughs in the past few years in the area of connectionist models, both as new avenues for AI and as a theoretical perspective relating neurophysiology to cognitive processing. / harry hersh/ ...decvax!decwrl!dec-rhea!dec-3d!hersh