Connectionist Modelling in Cognitive Neuropsychology

Connectionist Modelling in Cognitive Neuropsychology PDF Author: David C. Plaut
Publisher: Psychology Press
ISBN: 9780863773365
Category : Medical
Languages : en
Pages : 172

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Book Description
This title presents the most comprehensive existing "case study" of how the effects of damage in connectionist models can replicate the patterns of cognitive impairments that can arise in humans as a result of brain damage.

Connectionist Modelling in Cognitive Neuropsychology

Connectionist Modelling in Cognitive Neuropsychology PDF Author: David C. Plaut
Publisher: Psychology Press
ISBN: 9780863773365
Category : Medical
Languages : en
Pages : 172

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Book Description
This title presents the most comprehensive existing "case study" of how the effects of damage in connectionist models can replicate the patterns of cognitive impairments that can arise in humans as a result of brain damage.

Connectionist Models in Cognitive Psychology

Connectionist Models in Cognitive Psychology PDF Author: George Houghton
Publisher: Psychology Press
ISBN: 1135431140
Category : Psychology
Languages : en
Pages : 524

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Book Description
Connectionist Models in Cognitive Psychology is a state-of-the-art review of neural network modelling in core areas of cognitive psychology including: memory and learning, language (written and spoken), cognitive development, cognitive control, attention and action. The chapters discuss neural network models in a clear and accessible style, with an emphasis on the relationship between the models and relevant experimental data drawn from experimental psychology, neuropsychology and cognitive neuroscience. These lucid high-level contributions will serve as introductory articles for postgraduates and researchers whilst being of great use to undergraduates with an interest in the area of connectionist modelling.

The Cambridge Handbook of Computational Psychology

The Cambridge Handbook of Computational Psychology PDF Author: Ron Sun
Publisher: Cambridge University Press
ISBN: 0521674107
Category : Computers
Languages : en
Pages : 767

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Book Description
A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.

Introduction to Connectionist Modelling of Cognitive Processes

Introduction to Connectionist Modelling of Cognitive Processes PDF Author: Peter McLeod
Publisher: Oxford University Press, USA
ISBN: 9780198524274
Category : Science
Languages : en
Pages : 388

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Book Description
Describes the principles of connectionist modelling, and its application in understanding how the brain produces speech, forms memories, recognizes faces, and how intellect develops and deteriorates after brain damage.

Exploring Cognition: Damaged Brains and Neural Networks

Exploring Cognition: Damaged Brains and Neural Networks PDF Author: Gillian Cohen
Publisher: Psychology Press
ISBN: 1317710126
Category : Psychology
Languages : en
Pages : 481

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Book Description
An innovative, topical and engaging reader to accompany advanced undergraduate and postgraduate courses in cognition Presents a unique collection of key articles by leading international researchers in cognition, cognitive neuropsychology and connectionism Brings together in one place articles that challenge or inform traditional theories of cognition Spotlights current areas of debate and controversy in cogntive psychology of interest to students and researchers alike Editors are widely known in their fields and are authors of successful textbooks Introduction and linking sections provide essential context and evaluation

Connectionist Modelling in Cognitive Neuropsychology

Connectionist Modelling in Cognitive Neuropsychology PDF Author: David C. Plaut
Publisher: Psychology Press
ISBN: 9780863773365
Category : Medical
Languages : en
Pages : 172

Get Book Here

Book Description
This title presents the most comprehensive existing "case study" of how the effects of damage in connectionist models can replicate the patterns of cognitive impairments that can arise in humans as a result of brain damage.

Fundamentals of Neural Network Modeling

Fundamentals of Neural Network Modeling PDF Author: Randolph W. Parks
Publisher: MIT Press
ISBN: 9780262161756
Category : Computers
Languages : en
Pages : 450

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Book Description
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

Connectionist Models of Memory and Language (PLE: Memory)

Connectionist Models of Memory and Language (PLE: Memory) PDF Author: Joseph P. Levy
Publisher: Psychology Press
ISBN: 1317744683
Category : Psychology
Languages : en
Pages : 353

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Book Description
Connectionist modelling and neural network applications had become a major sub-field of cognitive science by the mid-1990s. In this ground-breaking book, originally published in 1995, leading connectionists shed light on current approaches to memory and language modelling at the time. The book is divided into four sections: Memory; Reading; Computation and statistics; Speech and audition. Each section is introduced and set in context by the editors, allowing a wide range of language and memory issues to be addressed in one volume. This authoritative advanced level book will still be of interest for all engaged in connectionist research and the related areas of cognitive science concerned with language and memory.

Connectionist Psychology

Connectionist Psychology PDF Author: Rob Ellis
Publisher: Psychology Press
ISBN: 9780863777875
Category : Medical
Languages : en
Pages : 716

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Book Description
This textbook provides an introduction and review of connectionist models applied to psychological topics. Chapters include basic reviews of connectionist models, their properties and their attributes. The application of these models to the domains of perception, memory, attention, word processing, higher language processing, and cognitive neuropsychology is then reviewed.

Connectionist Modeling and Brain Function

Connectionist Modeling and Brain Function PDF Author: Stephen José Hanson
Publisher: Bradford Book
ISBN:
Category : Computers
Languages : en
Pages : 448

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Book Description
Bringing together contributions in biology, neuroscience, computer science, physics, and psychology, this book offers a solid tutorial on current research activity in connectionist-inspired biology-based modeling. It describes specific experimental approaches and also confronts general issues related to learning associative memory, and sensorimotor development. Introductory chapters by editors Hanson and Olson, along with Terrence Sejnowski, Christof Koch, and Patricia S. Churchland, provide an overview of computational neuroscience, establish the distinction between "realistic" brain models and "simplified" brain models, provide specific examples of each, and explain why each approach might be appropriate in a given context. The remaining chapters are organized so that material on the anatomy and physiology of a specific part of the brain precedes the presentation of modeling studies. The modeling itself ranges from simplified models to more realistic models and provides examples of constraints arising from known brain detail as well as choices modelers face when including or excluding such constraints. There are three sections, each focused on a key area where biology and models have converged. Stephen Jose Hanson is Member of Technical Staff, Bellcore, and Visiting Faculty, Cognitive Science Laboratory, Princeton University. Carl R. Olson is Assistant Professor, Department of Psychology at Princeton Connectionist Modeling and Brain Functionis included in the Network Modeling and Connectionism series, edited by Jeffrey Elman.