Neural Network Models Of Conditioning And Action

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Neural Network Models of Conditioning and Action

Author : Michael L. Commons
Publisher : Routledge
ISBN 13 : 1317275985
Total Pages : 384 pages
Book Rating : 4.3/5 (172 download)

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Book Synopsis Neural Network Models of Conditioning and Action by : Michael L. Commons

Download or read book Neural Network Models of Conditioning and Action written by Michael L. Commons and published by Routledge. This book was released on 2016-09-19 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1991, this title was the result of a symposium held at Harvard University. It presents some of the exciting interdisciplinary developments of the time that clarify how animals and people learn to behave adaptively in a rapidly changing environment. The contributors focus on aspects of how recognition learning, reinforcement learning, and motor learning interact to generate adaptive goal-oriented behaviours that can satisfy internal needs – an area of inquiry as important for understanding brain function as it is for designing new types of freely moving autonomous robots. Since the authors agree that a dynamic analysis of system interactions is needed to understand these challenging phenomena – and neural network models provide a natural framework for representing and analysing such interactions – all the articles either develop neural network models or provide biological constraints for guiding and testing their design.

Neural Network Models of Cognition

Author : J.W. Donahoe
Publisher : Elsevier
ISBN 13 : 0080537367
Total Pages : 601 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Neural Network Models of Cognition by : J.W. Donahoe

Download or read book Neural Network Models of Cognition written by J.W. Donahoe and published by Elsevier. This book was released on 1997-09-26 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: This internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral neuroscience as population genetics for evolutionary science. The volume is divided into six sections, each of which includes both experimental and simulation research: (1) neurodevelopment and genetic algorithms, (2) synaptic plasticity (LTP), (3) sensory/hippocampal systems, (4) motor systems, (5) plasticity in large neural systems (reinforcement learning), and (6) neural imaging and language. The volume also includes an integrated reference section and a comprehensive index.

Fundamentals of Neural Network Modeling

Author : Randolph W. Parks
Publisher : MIT Press
ISBN 13 : 9780262161756
Total Pages : 450 pages
Book Rating : 4.1/5 (617 download)

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Book Synopsis Fundamentals of Neural Network Modeling by : Randolph W. Parks

Download or read book Fundamentals of Neural Network Modeling written by Randolph W. Parks and published by MIT Press. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Introduction to Neural and Cognitive Modeling

Author : Daniel S. Levine
Publisher : Psychology Press
ISBN 13 : 1135692254
Total Pages : 512 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Introduction to Neural and Cognitive Modeling by : Daniel S. Levine

Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Psychology Press. This book was released on 2000-02 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks * A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex * Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems. For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/

Neural Networks for Knowledge Representation and Inference

Author : Daniel S. Levine
Publisher : Psychology Press
ISBN 13 : 1134771541
Total Pages : 523 pages
Book Rating : 4.1/5 (347 download)

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Book Synopsis Neural Networks for Knowledge Representation and Inference by : Daniel S. Levine

Download or read book Neural Networks for Knowledge Representation and Inference written by Daniel S. Levine and published by Psychology Press. This book was released on 2013-04-15 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks -- well established for statistical pattern matching -- can perform the higher cognitive functions that are more often associated with symbolic approaches. This controversy has a long history, but recently erupted with arguments against the abilities of renewed neural network developments. More broadly than other attempts, the diverse contributions presented here not only address the theory and implementation of artificial neural networks for higher cognitive functions, but also critique the history of assumed epistemologies -- both neural networks and AI -- and include several neurobiological studies of human cognition as a real system to guide the further development of artificial ones. Organized into four major sections, this volume: * outlines the history of the AI/neural network controversy, the strengths and weaknesses of both approaches, and shows the various capabilities such as generalization and discreetness as being along a broad but common continuum; * introduces several explicit, theoretical structures demonstrating the functional equivalences of neurocomputing with the staple objects of computer science and AI, such as sets and graphs; * shows variants on these types of networks that are applied in a variety of spheres, including reasoning from a geographic database, legal decision making, story comprehension, and performing arithmetic operations; * discusses knowledge representation process in living organisms, including evidence from experimental psychology, behavioral neurobiology, and electroencephalographic responses to sensory stimuli.

A Neuroscientist’s Guide to Classical Conditioning

Author : John W. Moore
Publisher : Springer Science & Business Media
ISBN 13 : 1441985581
Total Pages : 339 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis A Neuroscientist’s Guide to Classical Conditioning by : John W. Moore

Download or read book A Neuroscientist’s Guide to Classical Conditioning written by John W. Moore and published by Springer Science & Business Media. This book was released on 2012-09-05 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical conditioning (CC) refers to the general paradigm for scientific studies of learning and memory, as initiated by Pavlov and his followers. Despite the current high level of interest in CC within neuroscience there is presently no single source that provides up-to-date comprehensive coverage of core topics. CC is a very large field. Nevertheless, some organisms and behaviors have dominated the neuroscience scene. Foremost of these are classical eyeblink conditioning (rats, cats, rabbits, and humans) and ear'conditioning. This handbook of CC focuses on these systems. It will be particularly appealing to the growing amount of scientists and medical specialists who employ CC methods.'

Dynamic Interactions in Neural Networks: Models and Data

Author : Michael A. Arbib
Publisher : Springer Science & Business Media
ISBN 13 : 1461245362
Total Pages : 275 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Dynamic Interactions in Neural Networks: Models and Data by : Michael A. Arbib

Download or read book Dynamic Interactions in Neural Networks: Models and Data written by Michael A. Arbib and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an exciting time. The study of neural networks is enjoying a great renaissance, both in computational neuroscience - the development of information processing models of living brains - and in neural computing - the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume, Dynamic Interactions in Neural Networks: Models and Data can be given two interpretations. We present models and data on the dynamic interactions occurring in the brain, and we also exhibit the dynamic interactions between research in computational neuroscience and in neural computing, as scientists seek to find common principles that may guide us in the understanding of our own brains and in the design of artificial neural networks. In fact, the book title has yet a third interpretation. It is based on the U. S. -Japan Seminar on "Competition and Cooperation in Neural Nets" which we organized at the University of Southern California, Los Angeles, May 18-22, 1987, and is thus the record of interaction of scientists on both sides of the Pacific in advancing the frontiers of this dynamic, re-born field. The book focuses on three major aspects of neural network function: learning, perception, and action. More specifically, the chapters are grouped under three headings: "Development and Learning in Adaptive Networks," "Visual Function", and "Motor Control and the Cerebellum.

Neural Networks and Animal Behavior

Author : Magnus Enquist
Publisher : Princeton University Press
ISBN 13 : 1400850789
Total Pages : 256 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Neural Networks and Animal Behavior by : Magnus Enquist

Download or read book Neural Networks and Animal Behavior written by Magnus Enquist and published by Princeton University Press. This book was released on 2013-12-03 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can we make better sense of animal behavior by using what we know about the brain? This is the first book that attempts to answer this important question by applying neural network theory. Scientists create Artificial Neural Networks (ANNs) to make models of the brain. These networks mimic the architecture of a nervous system by connecting elementary neuron-like units into networks in which they stimulate or inhibit each other's activity in much the same way neurons do. This book shows how scientists can employ ANNs to analyze animal behavior, explore the general principles of the nervous systems, and test potential generalizations among species. The authors focus on simple neural networks to show how ANNs can be investigated by math and by computers. They demonstrate intuitive concepts that make the operation of neural networks more accessible to nonspecialists. The first chapter introduces various approaches to animal behavior and provides an informal introduction to neural networks, their history, and their potential advantages. The second chapter reviews artificial neural networks, including biological foundations, techniques, and applications. The following three chapters apply neural networks to such topics as learning and development, classical instrumental condition, and the role of genes in building brain networks. The book concludes by comparing neural networks to other approaches. It will appeal to students of animal behavior in many disciplines. It will also interest neurobiologists, cognitive scientists, and those from other fields who wish to learn more about animal behavior.

The Handbook of Brain Theory and Neural Networks

Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262011972
Total Pages : 1328 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis The Handbook of Brain Theory and Neural Networks by : Michael A. Arbib

Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications

Author : Alonso, Eduardo
Publisher : IGI Global
ISBN 13 : 1609600231
Total Pages : 396 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications by : Alonso, Eduardo

Download or read book Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications written by Alonso, Eduardo and published by IGI Global. This book was released on 2010-11-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--

Animal Learning and Cognition

Author : Nestor A. Schmajuk
Publisher : Cambridge University Press
ISBN 13 : 9780521456968
Total Pages : 356 pages
Book Rating : 4.4/5 (569 download)

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Book Synopsis Animal Learning and Cognition by : Nestor A. Schmajuk

Download or read book Animal Learning and Cognition written by Nestor A. Schmajuk and published by Cambridge University Press. This book was released on 1997-04-28 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this advanced text, the author, starting with the simple assumption that psychological associations are represented by the strength of synaptic connections, details several mechanistic descriptions of complex cognitive behaviors. Part I presents neural network theories of classical conditioning; Part II describes neural networks of operant conditioning, and animal communication; Part III discusses spatial and cognitive mapping, and finally, Part IV shows how neural network models permit one to simultaneously develop psychological theories and models of the brain. The book includes computer software that allows the computer simulation of classical conditioning and the effect of different brain lesions on many classical paradigms. All those people interested in neural networks, from psychologists, through neuroscientists to computer scientists working on artificial intelligence and robotics, will find this book an excellent advanced guide to the subject.

Neural Mechanisms of Conditioning

Author : D.L. Alkon
Publisher : Springer Science & Business Media
ISBN 13 : 1461321158
Total Pages : 490 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Neural Mechanisms of Conditioning by : D.L. Alkon

Download or read book Neural Mechanisms of Conditioning written by D.L. Alkon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second volume to be based on a series of symposia being held periodically on the neurobiology of conditioning. The first, entitled Conditioning: Representation of Involved Neural Functions was based on a symposium held in Asilomar, Cali fornia, in October 1982 (Woody, 1982). The present volume is based on a sym posium, organized by D. Alkon and C. Woody, held at the Marine Biological Laboratory in Woods Hole, Massachusetts in November 1983. This series of sym posia and their publication are more than justified by the extraordinary progress be ing made during recent years in all branches of neuroscience and its application to our understanding of some of the basic neuronal mechanisms of conditioning and learning. Invertebrate models of conditioning have been used by many in the attempt to obtain a more thoroughly controlled analysis at the single cellular and synaptic level of the mechanisms involved in elementary conditioning in a simple nervous system. Examples of this approach are presented in this volume and utilize insects (grasshopper), crustacea (crayfish), and particularly the relatively simple nervous systems of mollusks (Aplysia and Hermissenda). In such preparations it is possible to carry out precise electrophysiological and neurochemical studies of single iden tified cells and synapses involved in such simple processes as habituation and sensitization, as well as simple forms of "associative" conditioning, usually using simple aversive or withdrawal reflexes.

Models of Action

Author : Clive D.L. Wynne
Publisher : Psychology Press
ISBN 13 : 113478757X
Total Pages : 336 pages
Book Rating : 4.1/5 (347 download)

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Book Synopsis Models of Action by : Clive D.L. Wynne

Download or read book Models of Action written by Clive D.L. Wynne and published by Psychology Press. This book was released on 2013-06-17 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents an international group of researchers who model animal and human behavior--both simple and complex. The models presented focus on such subjects as the pattern of eating in meals and bouts, the energizing and shaping impact of reinforcers on behavior, transitive inferential reasoning, responding to a compound stimulus, avoidance and escape learning, recognition memory, category formation, generalization, the timing of adaptive responses, and chromosomes exchanging information. The chapters are united by a common interest in adaptive behavior--whether of human, animal, or artificial system--and clearly demonstrate the rich variety of ways in which this fascinating area of research can be approached. In so doing, the book demonstrates the range of thought that qualifies as theorizing in the contemporary study of the mechanisms of adaptive behavior. It has two purposes: to bring together a very wide range of approaches in one place and to give authors space to explain how their ideas developed. Journal literature often presents fully-formed theories with no explanation of how an idea came to have the shape in which it is presented. In this volume, however, leaders in different fields provide background on the development of their ideas. Where once psychologists and a few zoologists had this field to themselves, now various types of computer scientists have added great energy to the mix.

Proceedings in Print

Author :
Publisher :
ISBN 13 :
Total Pages : 906 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Proceedings in Print by :

Download or read book Proceedings in Print written by and published by . This book was released on 1991 with total page 906 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Systems for Robotics

Author : Omid Omidvar
Publisher : Elsevier
ISBN 13 : 008092509X
Total Pages : 369 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Neural Systems for Robotics by : Omid Omidvar

Download or read book Neural Systems for Robotics written by Omid Omidvar and published by Elsevier. This book was released on 2012-12-02 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics systems, written by highly respected researchers in the field but outlines a novel approach to solving Robotics problems. The importance of neural networks in all aspects of Robot arm manipulators, neurocontrol, and Robotic systems is also given thorough and in-depth coverage. All researchers and students dealing with Robotics will find Neural Systems for Robotics of immense interest and assistance. Focuses on the use of neural networks in robotics-one of the hottest application areas for neural networks technology Represents the most up-to-date developments in this rapidly growing application area of neural networks Contains a new and novel approach to solving Robotics problems

Model Neural Networks and Behavior

Author : Allen Selverston
Publisher : Springer Science & Business Media
ISBN 13 : 1475758588
Total Pages : 549 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Model Neural Networks and Behavior by : Allen Selverston

Download or read book Model Neural Networks and Behavior written by Allen Selverston and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most conspicuous function of the nervous system is to control animal behav ior. From the complex operations of learning and mentation to the molecular con figuration of ionic channels, the nervous system serves as the interface between an animal and its environment. To study and understand the fundamental mecha nisms underlying the control of behavior, it is often both necessary and desirable to employ biological systems with characteristics especially suitable for answering specific questions. In neurobiology, many invertebrates have become established as model systems for investigations at both the systems and the cellular level. Large, readily identifiable neurons have made invertebrates especially useful for cellular studies. The fact that these neurons occur in much smaller numbers than those in higher animals also makes them important for circuit analysis. Although important differences exist, some of the questions that would be tech nically impossible to answer with vertebrates can become experimentally tractable with invertebrates.

Timing of Behavior

Author : David A. Rosenbaum
Publisher : MIT Press
ISBN 13 : 9780262181884
Total Pages : 402 pages
Book Rating : 4.1/5 (818 download)

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Book Synopsis Timing of Behavior by : David A. Rosenbaum

Download or read book Timing of Behavior written by David A. Rosenbaum and published by MIT Press. This book was released on 1998 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents cutting-edge research on the production, perception, and memory of timed events. Athletes and musicians demonstrate the levels to which humans can ascend in the timing of behavior. But even common actions, such as opening a door or bringing a cup to one's lips, reveal how we organize our behavior temporally. When there is damage to the nervous system and the ability to time behavior breaks down, we become aware of how many things must go right for timing not to go terribly wrong. In recent years, there has been a considerable growth of interest among cognitive and brain scientists in the timing aspects of human behavior. This volume presents cutting-edge research on the production, perception, and memory of timed events. Empirical chapters discuss a variety of tasks ranging from locomotion to finger-tapping. Theoretical chapters provide quantitative models for topics as diverse as eyeblink conditioning and posture during walking. Other chapters discuss the neuroanatomical bases of timing behavior. Contributors: Lorraine G. Allan, Eric L. Amazeen, Polemnia G. Amazeen, Heather Jane Barnes, Steven Boker, Darlene H. Brunzell, June-Seek Choi, Russell M. Church, Charles E. Collyer, Christopher Connolly, Frederick J. Diedrich, John Gibbon, Roderic Grupen, Kathleen Y. Haaland, Deborah L. Harrington, Kjeldy Haugsjaa, Kenneth G. Holt, John J. Jeka, Bruce A. Kay, Michael Kubovy, Tiffany Mattson, Warren Meck, John W. Moore, Trevor Penney, Bruno H. Repp, David A. Rosenbaum, Kamal Souccar, Michael T. Turvey, Jonathan Vaughan, William H. Warren, Jr.