Fundamentals of Neural Network Modeling

Fundamentals of Neural Network Modeling
Author :
Publisher : MIT Press
Total Pages : 450
Release :
ISBN-10 : 0262161753
ISBN-13 : 9780262161756
Rating : 4/5 (756 Downloads)

Book Synopsis Fundamentals of Neural Network Modeling by : Randolph W. Parks

Download or read book Fundamentals of Neural Network Modeling written by Randolph W. Parks and published by MIT Press. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimer's disease. Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble


Fundamentals of Neural Network Modeling Related Books

Fundamentals of Neural Network Modeling
Language: en
Pages: 450
Authors: Randolph W. Parks
Categories: Computers
Type: BOOK - Published: 1998 - Publisher: MIT Press

GET EBOOK

Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has be
Neural Networks: Computational Models and Applications
Language: en
Pages: 310
Authors: Huajin Tang
Categories: Computers
Type: BOOK - Published: 2007-03-12 - Publisher: Springer Science & Business Media

GET EBOOK

Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms
Fundamentals of Artificial Neural Networks
Language: en
Pages: 546
Authors: Mohamad H. Hassoun
Categories: Computers
Type: BOOK - Published: 1995 - Publisher: MIT Press

GET EBOOK

A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into
Fundamentals of Neural Networks
Language: en
Pages: 300
Authors: Fausett
Categories:
Type: BOOK - Published: 1994 - Publisher: Prentice Hall

GET EBOOK

AI Foundations of Neural Networks
Language: en
Pages: 83
Authors: Jon Adams
Categories: Computers
Type: BOOK - Published: - Publisher: Green Mountain Computing

GET EBOOK

Dive into the fascinating world of artificial intelligence with "AI Foundations of Neural Networks." This comprehensive guide demystifies the complex concepts o