Introduction to neural and cognitive modeling

著者

書誌事項

Introduction to neural and cognitive modeling

Daniel S. Levine

Routledge, 2019

3rd ed

  • : pbk
  • : hbk

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注記

Includes bibliographical references (p. [381]-437) and indexes

内容説明・目次

内容説明

This textbook provides a general introduction to the field of neural networks. Thoroughly revised and updated from the previous editions of 1991 and 2000, the current edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part one explores the philosophy of modeling and the field's history starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part two of the book reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions. The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.

目次

Contents Part I: Foundations of Neural Network Theory Chapter 1: Neural Networks for Modeling Behavior Chapter 2: Historical Outline Chapter 3: Associative Learning and Synaptic Plasticity Chapter 4: Competition, Lateral Inhibition, and Short-Term Memory Part II: Computational Cognitive Neuroscience Chapter 5: Progress in Cognitive Neuroscience Chapter 6: Models of Conditioning and Reinforcement Learning Chapter 7: Models of Coding, Categorization, and Unsupervised Learning Chapter 8: Models of Supervised Pattern and Category Learning Chapter 9: Models of Complex Mental Functions Appendices Appendix 1: Mathematical Techniques for Neural Networks Appendix 2: Basic Facts of Neurobiology References

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