Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain

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MIT Press, 2000 - Computers - 504 pages
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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 O'Reilly 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.

  

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Review: Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain

User Review  - Carol - Goodreads

Very interesting topics are discussed in this book. Unfortunately, in many areas I found myself reading a section going "ok... ok... " and then once I had finished reading the passage having no clue ... Read full review

Contents

Introduction and Overview
1
Individual Neurons
23
Networks of Neurons
71
Hebbian Model Learning
115
ErrorDriven Task Learning
147
Combined Model and Task Learning and Other Mechanisms
173
LargeScale Brain Area Organization and Cognitive Phenomena
203
Perception and Attention
227
HigherLevel Cognition
379
Conclusions
411
A Introduction to the PDP++ Simulation Environment
427
B Tutorial for Constructing Simulations in PDP++
435
Leabra Implementation Reference
455
References
467
Author Index
485
Subject Index
491

Memory
275
Language
323

Common terms and phrases

Popular passages

Page 467 - REFERENCES Allport, A. (1989). Visual attention. In MI Posner (ed.), Foundations of cognitive science (pp. 631-682). Cambridge, MA: MIT Press. Allport, A.
Page 479 - Robbins, TW (1993). Contrasting mechanisms of impaired attentional set-shifting in patients with frontal lobe damage or Parkinson's disease. Brain, 116, 1 159-79.
Page 483 - In RP Lippmann, JE Moody, & DS Touretzky (Eds.), Advances in neural information processing systems (Vol. 3, pp.649-655). San Mateo, CA: Morgan Kaufmann. Kruse, JM, Overmier, JB, Konz, WA, & Rokke, E. (1983). Pavlovian conditioned stimulus effects upon instrumental choice behaviour are reinforcer specific. Learning and Motivation, 14, 165-181. Kummer, H., & Goodall, J. (1985). Conditions of innovative...
Page 483 - A neural dissociation within language: Evidence that the mental dictionary is part of declarative memory, and that grammatical rules are part of the procedural system.
Page 482 - Sloman, SA, & Rumelhart, DE (1992). Reducing interference in distributed memories through episodic gating. In AF Healy, SM Kosslyn, & RM Shiffrin (Eds.), From learning theory to connectionist theory: Essays in honor of William K.
Page 472 - Gehring, WJ, Goss, B., Coles, MGH, Meyer, DE, & Donchin, E. (1993). A neural system for error detection and compensation. Psychological Science, 4, 385-390.

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About the author (2000)

Munakata is Associate Professor of Psychology at the University of Colorado, Boulder and the University of Denver.

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