[PDF] Connectionist Models In Cognitive Psychology eBook

Author : George Houghton
Publisher : Psychology Press
Page : 524 pages
File Size : 44,31 MB
Release : 2004-08-02
Category : Psychology
ISBN : 1135431140

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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.

Author : Ron Sun
Publisher : Cambridge University Press
Page : 767 pages
File Size : 25,61 MB
Release : 2008-04-28
Category : Computers
ISBN : 0521674107

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

Author : Peter McLeod
Publisher : Oxford University Press, USA
Page : 388 pages
File Size : 20,89 MB
Release : 1998-01-01
Category : Science
ISBN : 9780198524274

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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.

Author : David C. Plaut
Publisher : Psychology Press
Page : 172 pages
File Size : 20,30 MB
Release : 1994
Category : Alexia
ISBN : 9780863773365

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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.

Author : Joseph P. Levy
Publisher : Psychology Press
Page : 353 pages
File Size : 22,81 MB
Release : 2014-05-09
Category : Psychology
ISBN : 1317744683

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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.

Author : Rob Ellis
Publisher : Psychology Press
Page : 716 pages
File Size : 26,57 MB
Release : 1999
Category : Cognition
ISBN : 9780863777875

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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.

Author : Stephen John Read
Publisher : Psychology Press
Page : 397 pages
File Size : 19,69 MB
Release : 2014-01-14
Category : Psychology
ISBN : 1317716965

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Although neural network models have had a dramatic impact on the cognitive and brain sciences, social psychology has remained largely unaffected by this intellectual explosion. The first to apply neural network models to social phenomena, this book includes chapters by nearly all of the individuals currently working in this area. Bringing these various approaches together in one place, it allows readers to appreciate the breadth of these approaches, as well as the theoretical commonality of many of these models. The contributors address a number of central issues in social psychology and show how these kinds of models provide insight into many classic issues. Many chapters hint that this approach provides the seeds of a theoretical integration that the field has lacked. Each chapter discusses an explicit connectionist model of a central problem in social psychology. Since many of the contributors either use a standard architecture or provide a computer program, interested readers, with a little work, should be able to implement their own variations of models. Chapters are devoted to the following topics and models: * the learning and application of social categories and stereotypes; * causal reasoning, social explanation, and person perception; * personality and social behavior; * classic dissonance phenomena; and * belief change and the coherence of large scale belief systems.

Author : Philip T. Quinlan
Publisher : University of Chicago Press
Page : 320 pages
File Size : 49,22 MB
Release : 1991
Category : Psychology
ISBN : 9780226699608

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The rapid growth of neural network research has led to a major reappraisal of many fundamental assumptions in cognitive and perceptual psychology. This text—aimed at the advanced undergraduate and beginning postgraduate student—is an in-depth guide to those aspects of neural network research that are of direct relevance to human information processing. Examples of new connectionist models of learning, vision, language and thought are described in detail. Both neurological and psychological considerations are used in assessing its theoretical contributions. The status of the basic predicates like exclusive-OR is examined, the limitations of perceptrons are explained and properties of multi-layer networks are described in terms of many examples of psychological processes. The history of neural networks is discussed from a psychological perspective which examines why certain issues have become important. The book ends with a general critique of the new connectionist approach. It is clear that new connectionism work provides a distinctive framework for thinking about central questions in cognition and perception. This new textbook provides a clear and useful introduction to its theories and applications.

Author : Jonathan Grainger
Publisher : Psychology Press
Page : 378 pages
File Size : 39,26 MB
Release : 2013-06-17
Category : Psychology
ISBN : 1134804024

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This volume provides an overview of a relatively neglected branch of connectionism known as localist connectionism. The singling out of localist connectionism is motivated by the fact that some critical modeling strategies have been more readily applied in the development and testing of localist as opposed to distributed connectionist models (models using distributed hidden-unit representations and trained with a particular learning algorithm, typically back-propagation). One major theme emerging from this book is that localist connectionism currently provides an interesting means of evolving from verbal-boxological models of human cognition to computer-implemented algorithmic models. The other central messages conveyed are that the highly delicate issue of model testing, evaluation, and selection must be taken seriously, and that model-builders of the localist connectionist family have already shown exemplary steps in this direction.

Author : William Ramsey
Publisher : Psychology Press
Page : 340 pages
File Size : 35,39 MB
Release : 2013-06-17
Category : Psychology
ISBN : 1134755090

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The philosophy of cognitive science has recently become one of the most exciting and fastest growing domains of philosophical inquiry and analysis. Until the early 1980s, nearly all of the models developed treated cognitive processes -- like problem solving, language comprehension, memory, and higher visual processing -- as rule-governed symbol manipulation. However, this situation has changed dramatically over the last half dozen years. In that period there has been an enormous shift of attention toward connectionist models of cognition that are inspired by the network-like architecture of the brain. Because of their unique architecture and style of processing, connectionist systems are generally regarded as radically different from the more traditional symbol manipulation models. This collection was designed to provide philosophers who have been working in the area of cognitive science with a forum for expressing their views on these recent developments. Because the symbol-manipulating paradigm has been so important to the work of contemporary philosophers, many have watched the emergence of connectionism with considerable interest. The contributors take very different stands toward connectionism, but all agree that the potential exists for a radical shift in the way many philosophers think of various aspects of cognition. Exploring this potential and other philosophical dimensions of connectionist research is the aim of this volume.