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. Table of Contents. Series Foreword(113.5 KB).
Preface(157.9 KB). Contributors(181.3 KB).
I. Introduction to Neural Networks(181.3 KB).
Types Of Neural Networks Pdf
1. An Introduction to Neural Network Modeling: Merits,Limitations, and ControversiesDebra L. Long, Randolph W. Parks and Daniel S.
Levine(1.6 MB). 2. Functional Cognitive Networks in PrimatesJ. Wesson Ashford, Kerry L. Coburn and Joaquin M.
Fuster(1.6 MB). 3. Attention and Neural NetworksMichael I. Posner and Rajendra D.
Badgaiyan(954.3 KB). 4. A Neural Network Model of Memory, Amnesia, andCortico-Hippocampal InteractionsJean P. Banquet, Philippe Gaussier, JoseL. Contreras-Vidal, Angelika Gissler, Yves Burnod and DebraL. Long(2.4 MB). II.
Behavioral States(2.4 MB). 5. A Computational Model of Alcohol Dependence: Simulation ofGenetic Differences in Alcohol Preference and of TherepeuticStrategiesRaymond L. Ownby(1 MB).
6. A Computational Perspective on Learned Helplessness andDepressionSam Leven(1.1 MB). 7. Waking and Sleeping StatesJeffrey P. Sutton and J. Allan Hobson(1.2 MB). III.
Neuropsychological Tests and Clinical Syndromes(1.2 MB). 8. Stroop Task, Language, and Neuromodulation: Models ofCognitive Deficits in SchizophreniaDavid Servan-Schreiber and Jonathan D. Cohen(963 KB). 9.
Neural Network Modeling of Executive Functioning with theTower of Hanoi Test in Frontal Lobe-Lesioned PatientcsJohn Cardoso and Randolph W. Parks(1.3 MB). 10.
Neuronal Network Models of Acalculia and PrefrontalDeficitsStanislas Dehaene, Laurent Cohen and Jean-Pierre Changeux(1.2 MB). 11. Neuropsychological Assessment of Attention and ItsDisorders: Computational Models for Neglect, Extinction, andSustained AttentionRaymond L. Ownby and Dylan G.
Harwood(761.4 KB). 12. The Neural Basis of Lexical RetrievalDaniel Tranel, Hanna Damasio and Antonio R. Damasio(1.4 MB). IV. Applications in Dementia(1.4 MB).
13. A Model of Human Memory Based on the Cellular Physiology ofthe Hippocampal FormationMichael E. Hasselmo, Bradley P. Wyble and Chantal E.
Stern(1.7 MB). 14. Neural Network Modeling of Basal Ganglia Function inParkinson's Disease and Related DisordersRoderick K. Mahurin(1.4 MB). 15. Neural Network Modeling of Wisconsin Card Sorting andVerbal Fluency Tests: Applications with Frontal Lobe-Damaged andAlzheimer's Disease PatientsRandolph W.
Parks and Daniel S. Levine(1.3 MB). 16. Semantic Network Abnormalities in Patients with Alzheimer'sDiseaseAgnes S.
Chan, David P. Salmon and Nelson Butters(692.8 KB). 17. Parallel Distributed Processing Models in Alzheimer'sDiseaseLynette J. Tippett and Martha J. Farah(1.1 MB). Index(617.5 KB).