Parallel Models of Associative Memory
Parallel Models of Associative Memory

Author: Geoffrey E. Hinton

Publisher: Psychology Press

Published: 2014-02-25

Total Pages: 378

ISBN-13: 1317785207

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This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.

Parallel Models of Associative Memory
Parallel Models of Associative Memory

Author: Geoffrey E. Hinton

Publisher: Psychology Press

Published: 2014-02-25

Total Pages: 350

ISBN-13: 1317785215

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This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.

Associative Computing
Associative Computing

Author: Jerry L. Potter

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 291

ISBN-13: 1461533007

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Integrating associative processing concepts with massively parallel SIMD technology, this volume explores a model for accessing data by content rather than abstract address mapping.

Associative Neural Memories
Associative Neural Memories

Author: Mohamad H. Hassoun

Publisher:

Published: 1993

Total Pages: 384

ISBN-13:

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Brings together significant works on associative neural memory theory (architecture, learning, analysis, and design) and hardware implementation (VLSI and opto-electronic) by leading international researchers. The volume is organized into an introductory chapter and four parts: biological and psychological connections, artificial associative neural memory models, analysis of memory dynamics and capacity, and implementation. Annotation copyright by Book News, Inc., Portland, OR

Connectionism and Psychology
Connectionism and Psychology

Author: Philip T. Quinlan

Publisher: University of Chicago Press

Published: 1991

Total Pages: 320

ISBN-13: 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.

Neural Networks
Neural Networks

Author: E. Gelenbe

Publisher: Elsevier

Published: 2014-06-28

Total Pages: 233

ISBN-13: 1483297098

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The present volume is a natural follow-up to Neural Networks: Advances and Applications which appeared one year previously. As the title indicates, it combines the presentation of recent methodological results concerning computational models and results inspired by neural networks, and of well-documented applications which illustrate the use of such models in the solution of difficult problems. The volume is balanced with respect to these two orientations: it contains six papers concerning methodological developments and five papers concerning applications and examples illustrating the theoretical developments. Each paper is largely self-contained and includes a complete bibliography. The methodological part of the book contains two papers on learning, one paper which presents a computational model of intracortical inhibitory effects, a paper presenting a new development of the random neural network, and two papers on associative memory models. The applications and examples portion contains papers on image compression, associative recall of simple typed images, learning applied to typed images, stereo disparity detection, and combinatorial optimisation.

The Memory System Of The Brain
The Memory System Of The Brain

Author: Jean Delacour

Publisher: World Scientific

Published: 1994-04-22

Total Pages: 896

ISBN-13: 9814505404

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The purpose of this book is to describe the memory system of the brain, taking into account all the levels of neural organization: molecule, cell, small network, and anatomical circuit. This synthetic approach is necessary for determining the real mechanisms among the potential ones, that is the neural bases of learning and memory in intact organisms functioning under normal conditions. For this purpose, data from molecular, cellular and behavioral neurobiology, neuropsychology, animal and human psychology, and neural modellization are comprehensively reviewed by leading specialists and brought together in an original synthesis.

Relating Theory and Data
Relating Theory and Data

Author: William E. Hockley

Publisher: Psychology Press

Published: 2014-01-02

Total Pages: 575

ISBN-13: 1317760131

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This festschrift represents the proceedings of a conference held in honor of Bennet B. Murdock, one of the foremost researchers and theoreticians on human memory and cognition. A highly renowned investigator respected for both his empirical and theoretical contributions to the field, Murdock summarized and focused a large amount of research activity with his 1974 book Human Memory: Theory and Data. This unique collection of articles addresses many of the issues discussed in his classic text. Divided into five principal sections, its coverage includes: theoretical perspectives on human memory ranging from a biological view to an exposition of the value of formal models; recent progress in the study of processes in immediate memory and recognition memory; and new developments in componential and distributed approaches to the modeling of human memory. Each section concludes with an integrative commentary provided by some of Murdock’s eminent colleagues from the University of Toronto. Thus, this book offers a diversity of perspectives on contemporary topics in the discipline, and will be of interest to students and scholars in all branches of cognitive science.

Evolution, Learning And Cognition
Evolution, Learning And Cognition

Author: Y C Lee

Publisher: World Scientific

Published: 1989-01-01

Total Pages: 425

ISBN-13: 9814522082

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This review volume represents the first attempt to provide a comprehensive overview of this exciting and rapidly evolving development. The book comprises specially commissioned articles by leading researchers in the areas of neural networks and connectionist systems, classifier systems, adaptive network systems, genetic algorithm, cellular automata, artificial immune systems, evolutionary genetics, cognitive science, optical computing, combinatorial optimization, and cybernetics.