This text is an in-depth guide to neural network research in the late 20th century and research that showed they are of direct relevance to human information processing.
Illustrated. 293p. Index.
Aimed at advanced undergrads and beginning post-grad students.
This complete and authoritative book covers the major architectures; provides background in philosophy, linguistics, cognitive psychology, and neuroscience; and deals with methods for studying both brain and mind.
Contributors include Herbert A. Simon, Craig A. Kaplan, Zenon W. Pylyshyn, Allen Newell, John E. Laird, David E. Rumelhart, Terrence J. Sejnowski, Patricia Smith Churchland, Steven Pinker, Alan Allport, Daniel L. Schacter, and others.