Neural Network Models of Conditioning and Action: Psychology Library Editions: Cognitive Science
Editat de Michael L. Commons, Stephen Grossberg, John Staddonen Limba Engleză Paperback – 13 iun 2018
Since the authors agree that a dynamic analysis of system interactions is needed to understand these challenging phenomena – and neural network models provide a natural framework for representing and analysing such interactions – all the articles either develop neural network models or provide biological constraints for guiding and testing their design.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 405.71 lei 6-8 săpt. | |
| Taylor & Francis – 13 iun 2018 | 405.71 lei 6-8 săpt. | |
| Hardback (1) | 819.90 lei 6-8 săpt. | |
| Taylor & Francis – 27 iun 2016 | 819.90 lei 6-8 săpt. |
Din seria Psychology Library Editions: Cognitive Science
-
Preț: 379.35 lei -
Preț: 537.92 lei -
Preț: 372.66 lei -
Preț: 170.36 lei - 34%
Preț: 11425.02 lei -
Preț: 366.92 lei -
Preț: 366.18 lei -
Preț: 358.62 lei -
Preț: 336.77 lei -
Preț: 226.71 lei - 15%
Preț: 496.88 lei -
Preț: 362.66 lei -
Preț: 364.17 lei -
Preț: 464.89 lei -
Preț: 245.99 lei -
Preț: 393.50 lei -
Preț: 473.57 lei -
Preț: 358.24 lei -
Preț: 405.71 lei -
Preț: 523.04 lei -
Preț: 370.77 lei -
Preț: 368.01 lei - 34%
Preț: 680.31 lei -
Preț: 367.90 lei - 34%
Preț: 819.90 lei - 34%
Preț: 986.91 lei - 34%
Preț: 850.99 lei
Preț: 405.71 lei
Nou
Puncte Express: 609
Preț estimativ în valută:
77.70€ • 80.05$ • 65.09£
77.70€ • 80.05$ • 65.09£
Carte tipărită la comandă
Livrare economică 24 februarie-10 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781138192126
ISBN-10: 1138192120
Pagini: 384
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.59 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Seria Psychology Library Editions: Cognitive Science
Locul publicării:Oxford, United Kingdom
ISBN-10: 1138192120
Pagini: 384
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.59 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Seria Psychology Library Editions: Cognitive Science
Locul publicării:Oxford, United Kingdom
V-ar putea interesa
-
-23%Preț: 433.04 lei562.55 lei -
Thinking in Sound: The Cognitive Psychology of Human AuditionStephen McAdams-34%Preț: 598.76 lei905.88 lei -
Implicit CognitionGeoffrey Underwood-28%Preț: 375.83 lei518.58 lei -
The Sapient Mind: Archaeology meets neuroscienceColin Renfrew-30%Preț: 504.02 lei722.39 lei -
In Your Face: The new science of human attractionDavid PerrettPreț: 210.50 lei -
Sensation, Perception and Action: An Evolutionary PerspectiveJohannes ZankerPreț: 313.74 lei -
Preț: 296.64 lei -
Understanding ConsciousnessMax VelmansPreț: 453.79 lei -
Thinking from A to ZNigel WarburtonPreț: 154.14 lei -
-5%Preț: 332.26 lei349.74 lei -
The SAGE Handbook of Social CognitionSusan T. Fiske-18%Preț: 1126.07 lei1373.25 lei -
Chaos, Creativity, and Cosmic ConsciousnessRupert Sheldrake-25%Preț: 76.65 lei102.20 lei -
-5%Preț: 367.09 lei386.41 lei -
-5%Preț: 181.93 lei191.51 lei
Public țintă
Postgraduate, Professional, and UndergraduateCuprins
About the Editors. About the Contributors. Preface Part 1: Models of Classical Conditioning 1. Memory Function in Neural and Artificial Networks Daniel L. Alkon, Thomas P. Vogl, Kim T. Blackwell and David Tam 2. Empirically Derived Adaptive Elements and Networks Simulate Associative Learning Douglas A. Baxter, Dean V. Buonomano, Jennifer L. Raymond, David G. Cook, Frederick M. Kuenzi, Thomas J. Carew and John H. Byrne 3. Adaptive Synaptogenesis Can Complement Associative Potentiation/Depression William B. Levy and Costa M. Colbert 4. A Neural Network Architecture for Pavlovian Conditioning: Reinforcement, Attention, Forgetting, Timing Stephen Grossberg 5. Simulations of Conditioned Perseveration and Novelty Preference from Frontal Lobe Damage Daniel S. Levine and Paul S. Prueitt 6. Neural Dynamics and Hippocampal Modulation of Classical Conditioning Nestor A. Schmajuk and James J. DiCarlo 7. Implementing Connectionist Algorithms for Classical Conditioning in the Brain John W. Moore Part 2: Models of Instrumental Conditioning 8. Models of Acquisition and Preference Michael L. Commons, Eric W. Bing, Charla C. Griffy and Edward J. Trudeau 9. A Connectionist Model of Timing Russell M. Church and Hilary Broadbent 10. A Connectionist Approach to Conditional Discriminations: Learning, Short-Term Memory, and Attention William S. Maki and Adel M. Abunawass 11. On the Assignment-of-Credit Problem in Operant Learning John E. R. Staddon and Y. Zhang 12. Behavioral Diversity, Search and Stochastic Connectionist Systems Stephen José Hanson. Author Index. Subject Index.
Notă biografică
Michael L. Commons is Lecturer and Research Associate in the Department of Psychiatry at Harvard Medical School, Massachusetts Mental Health Center, and
Director of the Dare Institute. He did his undergraduate work at the University of California at Berkeley, and then at Los Angeles, where in 1965 he obtained a B.A. in mathematics and in psychology. In 1967 he received his M.A., and in 1973 his Ph.D., in psychology from Columbia University. Before coming to Harvard University in 1977 as a postdoctoral fellow and then becoming research associate in psychology, he was an assistant professor at Northern Michigan University. He has co-edited Quantitative Analyses of Behavior, volumes 1-11 and Beyond Formal Operations: Late Adolescent and Adult Cognitive Development. His area of research interest is the quantitative analysis of the construction and understanding of reality as it develops across the life span, especially as these elements affect decision processes, life-span attachment and alliance formation, and ethical, social, cross-cultural, educational, legal, and private sectors.
Stephen Grossberg received his graduate training at Stanford University and Rockefeller University, and was a Professor at M.I.T. He is Wang Professor of Cognitive and Neural Systems at Boston University, where he is the founder and Director of the Center for Adaptive Systems, as well as the founder and Co-Director of the graduate program in Cognitive and Neural Systems. He also organized the Boston Consortium for Behavioral and Neural Studies, which includes investigators from six Boston-area institutions. He founded and was first President of the International Neural Network Society, and is editor-in-chief of the Society’s journal, Neural Networks.
During the past few decades, he and his colleagues at the Center for Adaptive Systems have pioneered and developed a number of the fundamental principles, mechanisms, and architectures that form the foundation for contemporary neural network research, including contributions to content-addressable memory; associative learning; biological vision and multidimensional image processing; cognitive information processing; adaptive pattern recognition; speech and language perception, learning, and production; adaptive robotics; conditioning and attention; development; biological rhythms; certain mental disorders; and their substrates in neurophysical and anatomical mechanisms.
John E. R. Staddon is James B. Duke Professor of Psychology, and Professor of Zoology and Neurobiology at Duke University, where he has taught since 1967. His research is on the evolution and mechanisms of learning in humans and animals. He is the author of numerous experimental and theoretical papers and two books, Adaptive Behavior and Learning (1983, Cambridge University Press) and Learning: An Introduction to the Principles of Adaptive Behavior (with R. Ettinger, 1989, Harcourt-Brace-Jovanovich).
Director of the Dare Institute. He did his undergraduate work at the University of California at Berkeley, and then at Los Angeles, where in 1965 he obtained a B.A. in mathematics and in psychology. In 1967 he received his M.A., and in 1973 his Ph.D., in psychology from Columbia University. Before coming to Harvard University in 1977 as a postdoctoral fellow and then becoming research associate in psychology, he was an assistant professor at Northern Michigan University. He has co-edited Quantitative Analyses of Behavior, volumes 1-11 and Beyond Formal Operations: Late Adolescent and Adult Cognitive Development. His area of research interest is the quantitative analysis of the construction and understanding of reality as it develops across the life span, especially as these elements affect decision processes, life-span attachment and alliance formation, and ethical, social, cross-cultural, educational, legal, and private sectors.
Stephen Grossberg received his graduate training at Stanford University and Rockefeller University, and was a Professor at M.I.T. He is Wang Professor of Cognitive and Neural Systems at Boston University, where he is the founder and Director of the Center for Adaptive Systems, as well as the founder and Co-Director of the graduate program in Cognitive and Neural Systems. He also organized the Boston Consortium for Behavioral and Neural Studies, which includes investigators from six Boston-area institutions. He founded and was first President of the International Neural Network Society, and is editor-in-chief of the Society’s journal, Neural Networks.
During the past few decades, he and his colleagues at the Center for Adaptive Systems have pioneered and developed a number of the fundamental principles, mechanisms, and architectures that form the foundation for contemporary neural network research, including contributions to content-addressable memory; associative learning; biological vision and multidimensional image processing; cognitive information processing; adaptive pattern recognition; speech and language perception, learning, and production; adaptive robotics; conditioning and attention; development; biological rhythms; certain mental disorders; and their substrates in neurophysical and anatomical mechanisms.
John E. R. Staddon is James B. Duke Professor of Psychology, and Professor of Zoology and Neurobiology at Duke University, where he has taught since 1967. His research is on the evolution and mechanisms of learning in humans and animals. He is the author of numerous experimental and theoretical papers and two books, Adaptive Behavior and Learning (1983, Cambridge University Press) and Learning: An Introduction to the Principles of Adaptive Behavior (with R. Ettinger, 1989, Harcourt-Brace-Jovanovich).
Descriere
First published in 1991, this title presents some of the interdisciplinary developments of the time that clarify how animals and people learn to behave adaptively in a rapidly changing environment. All the articles either develop neural network models or provide biological constraints for guiding and testing their design.