Neural Network Models of Conditioning and Action

ISBN-13: 9781138192126 / Angielski / Miękka / 2018 / 362 str.

Michael L. Commons; Stephen Grossberg; John Staddon

Opis

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.

Spis treści

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.