Introduction to Neural and Cognitive Modeling: 3rd Edition - Softcover

Levine, Daniel S.

Softcover

ISBN 10: 1848726481 ISBN 13: 9781848726482

Publisher: Routledge, 2018

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.

About this title

About the Author

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.

Edition details

• Publisher: Routledge
• Publication date: 2018
• Language: English
• ISBN 10: 1848726481
• ISBN 13: 9781848726482
• Binding: Paperback
• Edition number: 3
• Number of pages: 480