Neural-Network Models of Cognition: Biobehavioral Foundations

John W. Donahoe and Vivian Packard Dorsel (Eds.)978-0-444-81931-4

This internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral neuroscience as population genetics for evolutionary science. The volume is divided into six sections, each of which includes both experimental and simulation research: (1) neurodevelopment and genetic algorithms, (2) synaptic plasticity (LTP), (3) sensory/hippocampal systems, (4) motor systems, (5) plasticity in large neural systems (reinforcement learning), and (6) neural imaging and language. The volume also includes an integrated reference section and a comprehensive index.

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Table of contents :
Content:
Acknowledgments
Page v

List of contents
Pages vii-ix

List of contributors
Pages xi-xiv

Chapter 1 The necessity of neural networks Original Research Article
Pages 1-19
John W. Donahoe

Chapter 2 Progenitor cells of the mammalian forebrain: Their types and distribution Original Research Article
Pages 22-36
Marla B. Luskin

Chapter 3 A statistical framework for presenting developmental neuroanatomy Original Research Article
Pages 37-57
Stephen L. Senft

Chapter 4 Evolving artificial neural networks in pavlovian environments Original Research Article
Pages 58-79
José E. Burgos

Chapter 5 Principles of neurotransmission and implications for network modeling Original Research Article
Pages 82-104
Jerrold S. Meyer

Chapter 6 Cellular mechanisms of long-term potentiation: Late maintenance Original Research Article
Pages 105-128
Uwe Frey

Chapter 7 Temporal information processing: A computational role for paired-pulse facilitation and slow inhibition Original Research Article
Pages 129-139
Dean V. Buonomato, Michael M. Merzenich

Chapter 8 Development and plasticity of neocortical processing architectures Original Research Article
Pages 142-159
Wolf Singer

Chapter 9 Inferotemporal cortex and object recognition Original Research Article
Pages 160-188
Keiji Tanaka

Chapter 10 Sparse coding of faces in a neuronal model: Interpreting cell population response in object recognition Original Research Article
Pages 189-202
Arnold Trehub

Chapter 11 Structure and binding in object perception Original Research Article
Pages 203-219
John E. Hummel

Chapter 12 A neural-network approach to adaptive similarity and stimulus representations in cortico-hippocampal function Original Research Article
Pages 220-241
Mark A. Gluck, Catherine E. Myers

Chapter 13 Motor cortex: Neural and computational studies Original Research Article
Pages 244-262
Apostolos P. Georgopoulos

Chapter 14 Selectionist constraints on neural networks Original Research Article
Pages 263-282
David C. Palmer

Chapter 15 Analysis of reaching for stationary and moving objects in the human infant Original Research Article
Pages 283-301
Neil E. Berthier

Chapter 16 Reinforcement learning of complex behavior through shaping Original Research Article
Pages 302-314
Vijaykumar Gullapalli

Chapter 17 Adaptive dopaminergic neurons report the appetitive value of environmental stimuli Original Research Article
Pages 317-335
Wolfram Schultz

Chapter 18 Selection networks: Simulation of plasticity through reinforcement learning Original Research Article
Pages 336-357
John W. Donahoe

Chapter 19 Reinforcement learning in artificial intelligence Original Research Article
Pages 358-386
Andrew G. Barto, Richard S. Sutton

Chapter 20 The TD model of classical conditioning: Response topography and brain implementation Original Research Article
Pages 387-405
J.W. Moore, J-S Choi

Chapter 21 Biological substrates of predictive mechanisms in learning and action choice Original Research Article
Pages 406-421
P. Read Montague

Chapter 22 The role of training in reinforcement learning Original Research Article
Pages 422-435
Jeffery A. Clouse

Chapter 23 Functional brain imaging and verbal behavior Original Research Article
Pages 438-454
Marcus E. Raichle

Chapter 24 Neural modeling of learning in verbal response-selection tasks Original Research Article
Pages 455-470
Vijaykumar Gullapalli, Jack J. Gelfand

Chapter 25 Serial order: A parallel distributed processing approach Original Research Article
Pages 471-495
Michael I. Jordan

Chapter 26 Connectionist models of arbitrarily applicable relational responding: A possible role for the hippocampal system Original Research Article
Pages 496-521
Dermot Barnes, Peter J. Hampson

Chapter 27 A recurrent-network account of reading, spelling, and dyslexia Original Research Article
Pages 522-538
Guy C. Van Orden, Anna M.T. Bosman, Stephen D. Goldinger, William T. Farrar IV

References
Pages 539-581

Index
Pages 582-586