Introduction to Neural and Cognitive Modeling
Language: English
Published by Psychology Press, 2000
- Softcover
- New

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- Title
- Introduction to Neural and Cognitive Modeling
- Author
- Levine, Daniel S.
- Publisher
- Psychology Press
- Publication year
- 2000
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 080582006X
- ISBN 13
- 9780805820065
- Edition
- 2nd Edition
Features of the second edition include:
* A new section on spatiotemporal pattern processing
* Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks
* A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex
* Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation
As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems.
For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/
"Synopsis" may belong to another edition of this title.
Review
The book offers an in-depth introduction to the realm of neural networks and is suitable for advanced undergraduate and graduate students....It manages to convey the diversity and applicability of the neural network field. The book is well written, well documented, and inspiring.
—Cognitive Science Society Newsletter
While numerous textbooks on artificial neural networks have been published, textbooks on biologically/psychologically oriented neural networks are much fewer in number. Therefore, this book continues to keep its niche. It remains as an attractive choice for an introductory textbook...this is a welcome update of a well-conceived and well-written introductory textbook.
—Neural Networks
"About the title" may belong to another edition of this title.
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