Learning and Computational Neuroscience: Foundations of Adaptive Networks
Learning and Computational Neuroscience: Foundations of Adaptive Networks
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发表时间：
1990-11
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通讯作者：
M. Gabriel;JOHN W. Moore
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作者：
M. Gabriel;JOHN W. Moore
“学习和计算神经科学”介绍了在理解学习和记忆的基础上的大脑过程方面的最新进展，包括对大脑中动态电路相互作用的神经系统分析以及能够描述简单形式的学习和表现的计算模型。它的主要目的是展示每种方法是如何相互关联和相互受益的，为理解认知过程提供了一个强有力的策略。迈克尔·加布里埃尔是伊利诺伊大学心理学教授。约翰摩尔是马萨诸塞州大学阿默斯特分校的心理学教授和计算机与信息科学副教授。贡献者：迈克尔加布里埃尔和约翰摩尔。Joseph E. LeDoux，布鲁斯S.放大图片创作者：Kapp，Amy Wilson，Jeffrey P. Pascoe，William Supple，Paul J. Whalen，Norman W.作者：John H.放大图片创作者：大卫M.乔恩·戴蒙德作者声明：J.仙女座A施马加克马尔科姆·W布朗西奥多W.放大图片创作者：John W.作者声明：Robert J.斯克拉巴西Neil E.作者：Diana E. J. Blazis。E.詹姆斯·基欧John E.德斯蒙德A.作者：James S. Morgan. Richard S.作者：萨顿巴托克里斯托弗·J·C·H. Watkins
"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.