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
Originally published in 2008 this book is William R. Uttal's 26th book on various topics in scientific psychology and presents the author's controversial view of the relationship between brain images and cognitive processes.
Now, in this text's first edition, these issues have been addressed.
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A serious review of live issues in science - from interaction and correlation to emergence, scale invariance, attractors, noise and chaos-this book demonstrates their relevance to intelligence and consciousness.
This text explores the scientific relationship between learning, instruction, and assessment with a concise and bold approach.
A major section in the introductory chapters provides background information on neurons and the brain, so even students without formal coursework on the biological basis of cognition will be prepared for the cognitive neuroscience coverage ...
In this absolutely amazing book, he shares a lifetime's worth of wisdom presented in a manner that is simple and engaging, but nonetheless stunningly profound. This book is a must read for anyone with a curious mind.
These essays on a range of topics in the cognitive neurosciences report on the progress in the field over the twenty years of its existence and reflect the many groundbreaking scientific contributions and enduring influence of Michael ...
This book pursues an inquiry into consciousness that ranges from ancient Greece to empirical neuro-psychology to the experiential traditions of introspection and meditation.
... que reporto en este libro recibió el respaldo de la Fundación Spencer , la Fundación Nacional Estadounidense para la ... en Montgomery ; Joanne B. Engel , de la Universidad Estatal de Oregon ; Verne C. Kennan , de la Universidad de ...