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Introduction to neural and cognitive modeling

Author: Daniel S Levine
Publisher: London : Routledge, 2018.
Edition/Format:   eBook : Document : English : Third editionView all editions and formats
Summary:
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  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Daniel S Levine
ISBN: 9780429828799 0429828799 9780429828805 0429828802 9780429828782 0429828780 9780429448805 0429448805
OCLC Number: 1064616416
Description: 1 online resource : illustrations (black and white)
Contents: 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.
Responsibility: Daniel S. Levine.

Abstract:

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.

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`Newly updated with advances in cognitive neuroscience and modeling, this introductory textbook provides a remarkable overview of the whole field of neural and cognitive modeling, from its inception Read more...

 
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