Fundamentals of neural network modeling: neuropsychology and cognitive neuroscience
Annotation
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
©1998
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| Schriftenreihe: | Computational neuroscience
|
| Links: | https://doi.org/10.7551/mitpress/3163.001.0001?locatt=mode:legacy |
| Zusammenfassung: | Annotation |
| Beschreibung: | "A Bradford book." |
| Umfang: | 1 Online-Ressource (xiii, 428 Seiten) Illustrationen |
| ISBN: | 0262161753 0262281279 0585108358 9780262161756 9780262281270 9780585108353 |
Internformat
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| 245 | 0 | 0 | |a Fundamentals of neural network modeling |b neuropsychology and cognitive neuroscience |c edited by Randolph W. Parks, Daniel S. Levine, and Debra L. Long |
| 264 | 4 | |c ©1998 | |
| 300 | |a 1 Online-Ressource (xiii, 428 Seiten) |b Illustrationen | ||
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| 490 | 1 | |a Computational neuroscience | |
| 500 | |a "A Bradford book." | ||
| 520 | 8 | |a Annotation |b 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. | |
| 700 | 1 | |a Levine, Daniel S. | |
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| isbn | 0262161753 0262281279 0585108358 9780262161756 9780262281270 9780585108353 |
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| spelling | Fundamentals of neural network modeling neuropsychology and cognitive neuroscience edited by Randolph W. Parks, Daniel S. Levine, and Debra L. Long ©1998 1 Online-Ressource (xiii, 428 Seiten) Illustrationen txt c cr Computational neuroscience "A Bradford book." Annotation 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. Levine, Daniel S. Long, Debra L. Parks, Randolph W. Erscheint auch als Druck-Ausgabe 0262161753 |
| spellingShingle | Fundamentals of neural network modeling neuropsychology and cognitive neuroscience |
| title | Fundamentals of neural network modeling neuropsychology and cognitive neuroscience |
| title_auth | Fundamentals of neural network modeling neuropsychology and cognitive neuroscience |
| title_exact_search | Fundamentals of neural network modeling neuropsychology and cognitive neuroscience |
| title_full | Fundamentals of neural network modeling neuropsychology and cognitive neuroscience edited by Randolph W. Parks, Daniel S. Levine, and Debra L. Long |
| title_fullStr | Fundamentals of neural network modeling neuropsychology and cognitive neuroscience edited by Randolph W. Parks, Daniel S. Levine, and Debra L. Long |
| title_full_unstemmed | Fundamentals of neural network modeling neuropsychology and cognitive neuroscience edited by Randolph W. Parks, Daniel S. Levine, and Debra L. Long |
| title_short | Fundamentals of neural network modeling |
| title_sort | fundamentals of neural network modeling neuropsychology and cognitive neuroscience |
| title_sub | neuropsychology and cognitive neuroscience |
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