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Connectionist Models In Cognitive Psychology
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Book Synopsis Connectionist Models in Cognitive Psychology by : George Houghton
Download or read book Connectionist Models in Cognitive Psychology written by George Houghton and published by Psychology Press. This book was released on 2004-08-02 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Cambridge Handbook of Computational Psychology by : Ron Sun
Download or read book The Cambridge Handbook of Computational Psychology written by Ron Sun and published by Cambridge University Press. This book was released on 2008-04-28 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
Book Synopsis Connectionist Psychology by : Rob Ellis
Download or read book Connectionist Psychology written by Rob Ellis and published by Psychology Press. This book was released on 2020-02-25 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Introduction to Connectionist Modelling of Cognitive Processes by : Peter McLeod
Download or read book Introduction to Connectionist Modelling of Cognitive Processes written by Peter McLeod and published by Oxford University Press, USA. This book was released on 1998-01-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Connectionist Models of Social Reasoning and Social Behavior by : Stephen J. Read
Download or read book Connectionist Models of Social Reasoning and Social Behavior written by Stephen J. Read and published by Psychology Press. This book was released on 1998 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the work of leading researchers in social and cognitive psychology who are applying connectionist models to central topics in social psychology. For professionals and graduate students in social & cognitive psych. & cognitive science.
Book Synopsis Connectionist Models of Memory and Language (PLE: Memory) by : Joseph P. Levy
Download or read book Connectionist Models of Memory and Language (PLE: Memory) written by Joseph P. Levy and published by Psychology Press. This book was released on 2014-05-09 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Connectionist Models of Social Reasoning and Social Behavior by : Stephen John Read
Download or read book Connectionist Models of Social Reasoning and Social Behavior written by Stephen John Read and published by Psychology Press. This book was released on 2014-01-14 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Connectionist Models of Cognition and Perception by : John Andrew Bullinaria
Download or read book Connectionist Models of Cognition and Perception written by John Andrew Bullinaria and published by World Scientific. This book was released on 2002 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Cognition and Perception collects together refereed versions of twenty-three papers presented at the Seventh Neural Computation and Psychology Workshop (NCPW7). This workshop series is a well-established and unique forum that brings together researchers from such diverse disciplines as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their latest work on connectionist modelling in psychology.The articles have the main theme of connectionist modelling of cognition and perception, and are organised into six sections, on: cell assemblies, representation, memory, perception, vision and language. This book is an invaluable resource for researchers interested in neural models of psychological phenomena.
Book Synopsis Connectionist Modeling and Brain Function by : Stephen José Hanson
Download or read book Connectionist Modeling and Brain Function written by Stephen José Hanson and published by Bradford Book. This book was released on 1990 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Localist Connectionist Approaches To Human Cognition by : Jonathan Grainger
Download or read book Localist Connectionist Approaches To Human Cognition written by Jonathan Grainger and published by Psychology Press. This book was released on 2013-06-17 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book From Associations to Rules written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Connectionist Models of Cognition and Perception II by : Howard Bowman
Download or read book Connectionist Models of Cognition and Perception II written by Howard Bowman and published by World Scientific. This book was released on 2004-04-15 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects together refereed versions of papers presented at the Eighth Neural Computation and Psychology Workshop (NCPW 8). NCPW is a well-established workshop series that brings together researchers from different disciplines, such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology. The articles are centred on the theme of connectionist modelling of cognition and perceptionn. The proceedings have been selected for coverage in: • Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings) • Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings) • Index to Social Sciences & Humanities Proceedings® (ISSHP® / ISI Proceedings) • Index to Social Sciences & Humanities Proceedings (ISSHP CDROM version / ISI Proceedings) • CC Proceedings — Engineering & Physical Sciences • CC Proceedings — Biomedical, Biological & Agricultural Sciences Contents:An Extended Buffer Model for Active Maintenance and Selective Updating (E J Davelaar & M Usher)Applying Forward Models to Sequence Learning: A Connectionist Implementation (D Theofilou, A Destrebecqz & A Cleeremans)Modelling Asymmetric Infant Categorization with the Representational Acuity Hypothesis (G Westermann & D Mareschal)Solving the Visual Expertise Mystery (C A Joyce & G W Cottrell)Through Attention to Consciousness by CODAM (J G Taylor)Modeling Visual Search: Evolving the Selective Attention for Identification Model (SAIM) (D Heinke, G W Humphreys & C L Tweed)A Temporal Attractor Framework for the Development of Analogical Completion (R Leech, D Mareschal & R Cooper)On the Evolution of Irrational Behaviour (J A Bullinaria)Reading, Sublexical Units and Scrambled Words: Capturing the Human Data (R C Shillcock & P Monaghan)and other papers Readership: Graduate students, academics and researchers in neural networks, artificial intelligence and psychology. Keywords:Neural Networks;Connectionism;Psychology;Perception;Cognition
Book Synopsis Localist Connectionist Approaches To Human Cognition by : Jonathan Grainger
Download or read book Localist Connectionist Approaches To Human Cognition written by Jonathan Grainger and published by Psychology Press. This book was released on 2013-06-17 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Connectionism and Psychology by : Philip T. Quinlan
Download or read book Connectionism and Psychology written by Philip T. Quinlan and published by University of Chicago Press. This book was released on 1991 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Connectionist Modelling in Cognitive Neuropsychology by : David C. Plaut
Download or read book Connectionist Modelling in Cognitive Neuropsychology written by David C. Plaut and published by Psychology Press. This book was released on 1994 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Connectionist Models by : David S. Touretzky
Download or read book Connectionist Models written by David S. Touretzky and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models contains the proceedings of the 1990 Connectionist Models Summer School held at the University of California at San Diego. The summer school provided a forum for students and faculty to assess the state of the art with regards to connectionist modeling. Topics covered range from theoretical analysis of networks to empirical investigations of learning algorithms; speech and image processing; cognitive psychology; computational neuroscience; and VLSI design. Comprised of 40 chapters, this book begins with an introduction to mean field, Boltzmann, and Hopfield networks, focusing on deterministic Boltzmann learning in networks with asymmetric connectivity; contrastive Hebbian learning in the continuous Hopfield model; and energy minimization and the satisfiability of propositional logic. Mean field networks that learn to discriminate temporally distorted strings are described. The next sections are devoted to reinforcement learning and genetic learning, along with temporal processing and modularity. Cognitive modeling and symbol processing as well as VLSI implementation are also discussed. This monograph will be of interest to both students and academicians concerned with connectionist modeling.
Book Synopsis Connections and Symbols by : Steven Pinker
Download or read book Connections and Symbols written by Steven Pinker and published by MIT Press. This book was released on 1988 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connections and Symbols provides the first systematic analysis of the explosive new field of Connectionism that is challenging the basic tenets of cognitive science. Does intelligence result from the manipulation of structured symbolic expressions? Or is it the result of the activation of large networks of densely interconnected simple units? Connections and Symbols provides the first systematic analysis of the explosive new field of Connectionism that is challenging the basic tenets of cognitive science. These lively discussions by Jerry A. Fodor, Zenon W. Pylyshyn, Steven Pinker, Alan Prince, Joel Lechter, and Thomas G. Bever raise issues that lie at the core of our understanding of how the mind works: Does connectionism offer it truly new scientific model or does it merely cloak the old notion of associationism as a central doctrine of learning and mental functioning? Which of the new empirical generalizations are sound and which are false? And which of the many ideas such as massively parallel processing, distributed representation, constraint satisfaction, and subsymbolic or microfeatural analyses belong together, and which are logically independent? Now that connectionism has arrived with full-blown models of psychological processes as diverse as Pavlovian conditioning, visual recognition, and language acquisition, the debate is on. Common themes emerge from all the contributors to Connections and Symbols: criticism of connectionist models applied to language or the parts of cognition employing language like operations; and a focus on what it is about human cognition that supports the traditional physical symbol system hypothesis. While criticizing many aspects of connectionist models, the authors also identify aspects of cognition that could he explained by the connectionist models. Connections and Symbols is included in the Cognition Special Issue series, edited by Jacques Mehler.
