Introduction to Neural and Cognitive Modeling (2nd Edition) - Info and Reading Options
By Daniel S. Levine

"Introduction to Neural and Cognitive Modeling (2nd Edition)" was published by Lawrence Erlbaum in February 1, 2000, it has 512 pages and the language of the book is English.
“Introduction to Neural and Cognitive Modeling (2nd Edition)” Metadata:
- Title: ➤ Introduction to Neural and Cognitive Modeling (2nd Edition)
- Author: Daniel S. Levine
- Language: English
- Number of Pages: 512
- Publisher: Lawrence Erlbaum
- Publish Date: February 1, 2000
“Introduction to Neural and Cognitive Modeling (2nd Edition)” Subjects and Themes:
- Subjects: ➤ Brain - Cognition - Computer simulation - Neural networks (Computer science) - PSYCHOLOGY - MEDICAL - Neural networks (Neurobiology) - Computer Neural Networks - Neuroscience - Neurological Models - Neuropsychology - Neural circuitry - Cognitive psychology - Réseaux neuronaux (Neurobiologie) - Réseaux neuronaux (Informatique)
Edition Specifications:
- Format: Hardcover
- Weight: 2.1 pounds
- Dimensions: 9.3 x 6.2 x 1.5 inches
Edition Identifiers:
- The Open Library ID: OL7936827M - OL819148W
- Online Computer Library Center (OCLC) ID: 42823798
- Library of Congress Control Number (LCCN): 99057795
- ISBN-13: 9780805820058
- ISBN-10: 0805820051
- All ISBNs: 0805820051 - 9780805820058
AI-generated Review of “Introduction to Neural and Cognitive Modeling (2nd Edition)”:
Snippets and Summary:
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"Introduction to Neural and Cognitive Modeling (2nd Edition)" Description:
The Open Library:
"This thoroughly and thoughtfully revised edition makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as other scholars interested in these models.". "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; and up-to-date coverage of applications of neural networks in areas such as combinational optimization and knowledge representation."--BOOK JACKET.
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