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Learning and Computational Neuroscience: Foundations of Adaptive Networks (Bradford Books)
by (Editor: Michael Gabriel) (Editor: John Moore)
Product Group: Book
Publisher: The MIT Press (1991-01-10)
ISBN: 0262071029
EAN: 9780262071024
Dewy Decimal #: 599.0188
Hardcover: 630 pages
SKU: T071050-7325
Condition: Very Good
Comments: Ex-university library (few marks). Very good overall condition. No writing, very tight binding. No dust cover. Ships same day or next in a bubble mailer. Enjoy.
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Product Description
Learning and Computational Neuroscience presents recent advances in understanding the brain processes underlying learning and memory, including neural systems analyses of dynamic circuit interactions in the brain and computational models capable of describing simple forms of learning and performance. Its principal aim is to show how each approach is related to and benefits the other, providing a powerful strategy for understanding cognitive processes.
Michael Gabriel is Professor of Psychology at the University of Illinois. John Moore is Professor of Psychology and Associate Professor of Computer and Information Science at the University of Massachusetts at Amherst.
Contributors: Michael Gabriel and John Moore. Joseph E. LeDoux, Bruce S. Kapp, Amy Wilson, Jeffrey P. Pascoe, William Supple, Paul J. Whalen, Norman W. Weinberger, John H. Ashe, Raju Metherate, David M. Diamond, Jon S. Bakin, J. Michael Cassady. Nestor A. Schmajuk. Malcolm W. Brown. Theodore W. Berger, German Barri onuevo, Steven P. Levitan, Donald N. Krieger, Robert J. H. Sclabassi. Neil E. Berthier, Diana E. J. Blazis. E. James Kehoe. John E. Desmond. A. Harry Klopf, James S. Morgan. Richard S. Sutton, Andrew G. Barto. Christopher J. C. H. Watkins.
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