Description: Computational Explorations in Cognitive Neuroscience by Randall C. O'Reilly, Yuko Munakata, James L. McClelland This text, based on a course taught by Randall OReilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This text, based on a course taught by Randall OReilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience.The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall OReilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena.The text consists of two parts. The first part covers basic neural computation mechanisms- individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena- perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software. Author Biography James L. McClelland is Professor of Psychology and Director of the Center for Mind, Brain, and Computation at Stanford University. He is the coauthor of Parallel Distributed Processing (1986) and Semantic Cognition (2004), both published by the MIT Press. With David E. Rumelhart, he was awarded the 2002 University of Louisville Grawemeyer Award for Psychology for his work in the field of cognitive neuroscience on a cognitive framework called parallel distributed processing and the concept of connectionism. Details ISBN0262650541 Author James L. McClelland Short Title COMPUTATIONAL EXPLORATIONS IN Pages 532 Language English ISBN-10 0262650541 ISBN-13 9780262650540 Media Book Format Paperback Illustrations Yes Year 2000 Subtitle Understanding the Mind by Simulating the Brain Country of Publication United States Edition 1st Place of Publication Massachusetts Affiliation University of Colorado at Boulder Series A Bradford Book DOI 10.1604/9780262650540 AU Release Date 2000-08-28 NZ Release Date 2000-08-28 US Release Date 2000-08-28 UK Release Date 2000-08-28 Imprint MIT Press Audience Age 18-99 Publisher MIT Press Ltd Publication Date 2000-08-28 Alternative 9780262150521 DEWEY 612.820113 Audience Undergraduate We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:161183469;
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ISBN-13: 9780262650540
Book Title: Computational Explorations in Cognitive Neuroscience
Subject Area: Developmental Psychology, Biological Psychology
Item Height: 229 mm
Item Width: 203 mm
Author: Yuko Munakata, Randall C. O'reilly
Publication Name: Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Format: Paperback
Language: English
Publisher: MIT Press Ltd
Subject: Medicine, Psychology, Computer Science, Biology
Publication Year: 2000
Type: Textbook
Item Weight: 1157 g
Number of Pages: 532 Pages