Introduction to Connectionist Modelling of Cognitive Processes

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Overview

Connectionism is a way of modeling how the brain uses streams of sensory inputs to understand the world and produce behavior, based on cognitive processes which actually occur. This book describes the principles, and their application to explaining how the brain produces speech, forms memories and recognizes faces, how intellect develops, and how it deteriorates after brain damage. The models range from some well-known classics to others at the frontiers of current research. Also included is a disk with the software for running tlearn, a user-friendly simulator for connectionist modeling of cognitive processes, which will run on either PCs or Macs. Written by leading researchers in their field, this first up-to-date textbook on connectionist modeling, will provide an essential and accessible introduction to the field.

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Product Details

  • ISBN-13: 9780198524267
  • Publisher: Oxford University Press, USA
  • Publication date: 4/28/1998
  • Edition description: New Edition
  • Pages: 404
  • Lexile: 1330L (what's this?)
  • Product dimensions: 9.50 (w) x 7.40 (h) x 0.90 (d)

Meet the Author

all at Oxford University
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Table of Contents

Prologue 1
Pt. I Principles
1 The basics of connectionist information processing 8
2 The attraction of parallel distributed processing for modelling cognition 30
3 Pattern association 51
4 Autoassociation 72
5 Training a multi-layer network with an error signal: hidden units and backpropagation 96
6 Competitive networks 127
7 Recurrent networks 139
Pt. II Applications
8 Reading aloud 155
9 Language acquisition 178
10 Connectionism and cognitive development 210
11 Connectionist neuropsychology - lesioning networks 243
12 Mental representation: rules, symbols and connectionist networks 268
13 Network models of brain function 278
14 Evolutionary connectionism 303
15 A selective history of connectionism before 1986 314
App. 1 Installation procedures for tlearn 331
App. 2 An Introduction to linear algebra for neural networks 333
App. 3 User manual for tlearn 340
Bibliography 376
Index 383
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