Learning & Computational Neuroscience – Foundations of Adaptive Networks: Foundations of Adoptive Networks - Hardcover

Gabriel, M

Hardcover

ISBN 10: 0262071029 ISBN 13: 9780262071024

Publisher: MIT Press, 1991

Synopsis

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.

About this title

Synopsis

Presents recent advances in the understanding of 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. The principal aim is to show how each approach is related to and benefits the oth

Edition details

• Publisher: MIT Press
• Publication date: 1991
• Language: English
• ISBN 10: 0262071029
• ISBN 13: 9780262071024
• Binding: Hardcover
• Number of pages: 622