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Neural Network Models of Cognition: Biobehavioral Foundations (Volume 121) (Advances in Psychology, Volume 121)

معرفی کتاب «Neural Network Models of Cognition: Biobehavioral Foundations (Volume 121) (Advances in Psychology, Volume 121)» نوشتهٔ John W. Donahoe and Vivian Packard Dorsel (Eds.)، منتشرشده توسط نشر Elsevier در سال 1997. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

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. 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
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