Connectionist Models in Cognitive Psychology

Connectionist Models in Cognitive Psychology PDF

Author: George Houghton

Publisher: Psychology Press

Published: 2004-08-02

Total Pages: 524

ISBN-13: 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.

The Cambridge Handbook of Computational Psychology

The Cambridge Handbook of Computational Psychology PDF

Author: Ron Sun

Publisher: Cambridge University Press

Published: 2008-04-28

Total Pages: 0

ISBN-13: 0521857414

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This book is a definitive reference source for the growing, increasingly more important, and interdisciplinary field of computational cognitive modeling, that is, computational psychology. It combines breadth of coverage with definitive statements by leading scientists in this field. Research in computational cognitive modeling explores the essence of cognition and various cognitive functionalities through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. Given the complexity of the human mind and its manifestation in behavioral flexibility, process-based computational models may be necessary to explicate and elucidate the intricate details of the mind. The key to understanding cognitive processes is often in fine details. Computational models provide algorithmic specificity: detailed, exactly specified, and carefully thought-out steps, arranged in precise yet flexible sequences. These models provide both conceptual clarity and precision at the same time. This book substantiates this approach through overviews and many examples.

Connectionist Modelling in Cognitive Neuropsychology

Connectionist Modelling in Cognitive Neuropsychology PDF

Author: David C. Plaut

Publisher: Psychology Press

Published: 1994

Total Pages: 172

ISBN-13: 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.

Connectionist Psychology

Connectionist Psychology PDF

Author: Rob Ellis

Publisher: Psychology Press

Published: 2020-02-25

Total Pages: 716

ISBN-13: 1317715519

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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.

Connectionist Models of Memory and Language (PLE: Memory)

Connectionist Models of Memory and Language (PLE: Memory) PDF

Author: Joseph P. Levy

Publisher: Psychology Press

Published: 2014-05-09

Total Pages: 353

ISBN-13: 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.

Introduction to Connectionist Modelling of Cognitive Processes

Introduction to Connectionist Modelling of Cognitive Processes PDF

Author: Peter McLeod

Publisher: Oxford University Press, USA

Published: 1998-01-01

Total Pages: 388

ISBN-13: 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.

Connectionist Models of Social Reasoning and Social Behavior

Connectionist Models of Social Reasoning and Social Behavior PDF

Author: Stephen J. Read

Publisher: Psychology Press

Published: 1998

Total Pages: 404

ISBN-13: 9780805822168

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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.

Connectionist Models of Social Reasoning and Social Behavior

Connectionist Models of Social Reasoning and Social Behavior PDF

Author: Stephen John Read

Publisher: Psychology Press

Published: 2014-01-14

Total Pages: 397

ISBN-13: 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.

Connectionist Models

Connectionist Models PDF

Author: David S. Touretzky

Publisher: Morgan Kaufmann

Published: 2014-05-12

Total Pages: 416

ISBN-13: 1483214486

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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.