Introduction to Neural and Cognitive Modeling: 3rd Edition

Introduction to Neural and Cognitive Modeling: 3rd Edition

by Levine (Author)

Synopsis

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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More Information

Format: Illustrated
Pages: 480
Edition: 3
Publisher: Routledge
Published: 15 Oct 2018

ISBN 10: 1848726481
ISBN 13: 9781848726482

Media Reviews

`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 nearly a century ago to the most recent advances. The beginner can easily gain an overview of the principles of modeling, while the advanced student will find ample mathematical detail and practical simulation exercises. This new edition will be my go-to text for advanced undergraduates and graduate students looking for an introduction to the subject.' Professor Joshua W. Brown, Indiana University, USA

Author Bio
Daniel S. Levine is Professor of Psychology at the University of Texas at Arlington. He is a Fellow and former President of the International Neural Network Society. His research involves computational modeling of brain processes in decision making and cognitive-emotional interactions.