Download or read book Motivation Emotion and Goal Direction in Neural Networks written by Daniel S. Levine and published by Psychology Press. This book was released on 2014-01-14 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles gathered in this volume represent examples of a unique approach to the study of mental phenomena: a blend of theory and experiment, informed not just by easily measurable laboratory data but also by human introspection. Subjects such as approach and avoidance, desire and fear, and novelty and habit are studied as natural events that may not exactly correspond to, but at least correlate with, some (known or unknown) electrical and chemical events in the brain.
Download or read book Motivation Emotion and Goal Direction in Neural Networks written by Daniel S. Levine and published by Psychology Press. This book was released on 2016-10-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 1991. Routledge is an imprint of Taylor & Francis, an informa company.
Download or read book Brain and Values written by Karl H. Pribram and published by Psychology Press. This book was released on 2018-01-17 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 5th volume of the Appalachian Conference discusses how the brain processes information, the role of memory and value, and models of creativity. It pursues aspects of cognitive neuroscience and behavioral neurodynamics, such as the topic of values and quantum-distributed processing in the brain.
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.
Download or read book Cognitive Science Perspectives on Personality and Emotion written by G. Matthews and published by Elsevier. This book was released on 1997-12-11 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to highlight the vigour, diversity and insight of the various cognitive science perspectives on personality and emotion. It aims also to emphasise the rigorous scientific basis for research to be found in the integration of experimental psychology with neuroscience, connectionism and the new evolutionary psychology. The contributors to this book provide a wide-ranging survey of leading-edge research topics. It is divided into three parts, on general frameworks for cognitive science, on perspectives from emotion research, and on perspectives from studies of personality traits.
Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Routledge. This book was released on 2018-10-26 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a general introduction to the field of neural networks. Thoroughly revised and updated from the previous editions of 1991 and 2000, the current edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part one explores the philosophy of modeling and the field’s history starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part two of the book reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions. The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.
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
Download or read book Encyclopedia of Computer Science and Technology written by Allen Kent and published by CRC Press. This book was released on 1999-08-19 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 41st volume covers Application of Bayesan Belief Networks to Highway Construction to Virtual Reality Software and Technology.
Download or read book The Mind Within the Net written by Manfred Spitzer and published by MIT Press. This book was released on 1999 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Computer models can help us understand what appear to be the most private of all human experiences ... a mathematical theory can fundamentally change the way in which we think about learning, creativity, thinking, and acting." (x).
Download or read book Optimality in Biological and Artificial Networks written by Daniel S. Levine and published by Psychology Press. This book was released on 2013-06-17 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the third in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics, an interdisciplinary organization of neural network professionals in academia and industry. The topics selected are of broad interest to both those interested in designing machines to perform intelligent functions and those interested in studying how these functions are actually performed by living organisms and generate discussion of basic and controversial issues in the study of mind. The topic of optimality was chosen because it has provoked considerable discussion and controversy in many different academic fields. There are several aspects to the issue of optimality. First, is it true that actual behavior and cognitive functions of living animals, including humans, can be considered as optimal in some sense? Second, what is the utility function for biological organisms, if any, and can it be described mathematically? Rather than organize the chapters on a "biological versus artificial" basis or by what stance they took on optimality, it seemed more natural to organize them either by what level of questions they posed or by what intelligent functions they dealt with. The book begins with some general frameworks for discussing optimality, or the lack of it, in biological or artificial systems. The next set of chapters deals with some general mathematical and computational theories that help to clarify what the notion of optimality might entail in specific classes of networks. The final section deals with optimality in the context of many different high-level issues, including exploring one's environment, understanding mental illness, linguistic communication, and social organization. The diversity of topics covered in this book is designed to stimulate interdisciplinary thinking and speculation about deep problems in intelligent system organization.
Download or read book Radial Basis Function Networks 1 written by Robert J.Howlett and published by Springer Science & Business Media. This book was released on 2001-03-27 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers.
Download or read book Handbook of Psychopathy written by Christopher J. Patrick and published by Guilford Publications. This book was released on 2018-04-23 with total page 849 pages. Available in PDF, EPUB and Kindle. Book excerpt: Widely considered the go-to reference--and now extensively revised with over 65% new material--this authoritative handbook surveys the landscape of current knowledge on psychopathy and addresses essential clinical and applied topics. Leading researchers explore major theoretical models; symptomatology and diagnostic subtypes; assessment methods; developmental pathways; and causal influences, from genes and neurobiology to environmental factors. The volume examines manifestations of psychopathy in specific populations as well as connections to antisocial behavior and recidivism. It presents contemporary perspectives on prevention and treatment and discusses special considerations in clinical and forensic practice. New to This Edition *Extensively revised with more than a decade's theoretical, empirical, and clinical advances. *Many new authors and topics. *Expanded coverage of phenotypic facets, with chapters on behavioral disinhibition, callous–unemotional traits, and boldness. *Chapters on DSM-5, clinical interviewing, cognitive and emotional processing, and serial murder. *Significantly updated coverage of etiology, assessment methods, neuroimaging research, and adult and juvenile treatment approaches.
Download or read book From Synapses to Rules written by Bruno Apolloni and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain activity of other primates. At present we are technologically almost ready to artificially reproduce human brain tissue, but we still do not fully understand the information processing and the related biological mechanisms underlying this ability. Thus an electronic clone of the human brain is still far from being realizable. At the same time, around twenty years after the revival of the connectionist paradigm, we are not yet satisfied with the typical subsymbolic attitude of devices like neural networks: we can make them learn to solve even difficult problems, but without a clear explanation of why a solution works. Indeed, to widely use these devices in a reliable and non elementary way we need formal and understandable expressions of the learnt functions. of being tested, manipulated and composed with These must be susceptible other similar expressions to build more structured functions as a solution of complex problems via the usual deductive methods of the Artificial Intelligence. Many effort have been steered in this directions in the last years, constructing artificial hybrid systems where a cooperation between the sub symbolic processing of the neural networks merges in various modes with symbolic algorithms. In parallel, neurobiology research keeps on supplying more and more detailed explanations of the low-level phenomena responsible for mental processes.
Download or read book Dealing with Complexity written by Mirek Karny and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: In almost all areas of science and engineering, the use of computers and microcomputers has, in recent years, transformed entire subject areas. What was not even considered possible a decade or two ago is now not only possible but is also part of everyday practice. As a result, a new approach usually needs to be taken (in order) to get the best out of a situation. What is required is now a computer's eye view of the world. However, all is not rosy in this new world. Humans tend to think in two or three dimensions at most, whereas computers can, without complaint, work in n dimensions, where n, in practice, gets bigger and bigger each year. As a result of this, more complex problem solutions are being attempted, whether or not the problems themselves are inherently complex. If information is available, it might as well be used, but what can be done with it? Straightforward, traditional computational solutions to this new problem of complexity can, and usually do, produce very unsatisfactory, unreliable and even unworkable results. Recently however, artificial neural networks, which have been found to be very versatile and powerful when dealing with difficulties such as nonlinearities, multivariate systems and high data content, have shown their strengths in general in dealing with complex problems. This volume brings together a collection of top researchers from around the world, in the field of artificial neural networks.
Download or read book Oscillations in Neural Systems written by Daniel S. Levine and published by Psychology Press. This book was released on 1999-09 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for those interested in designing machines to perform intelligent functions & those interested in studying how these functions are performed by living organisms,this bk dicusses the mathematical structure & functional significance of neural oscil
Download or read book The Evolutionary Neuroethology of Paul MacLean written by Gerald A. Cory Jr. and published by Bloomsbury Publishing USA. This book was released on 2002-12-30 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the mid-20th century, integrative efforts began concerning the brain and its social and humanistic functions. These efforts were led by Paul D. MacLean's integrative research and thought. As the century ended, however, such efforts were lost in the surge of new effort in brain and genome research. Nobel Prizes were awarded on biochemical and cellular findings relevant to psychiatry. Findings on these levels seemed to provide ultimate answers. By contrast, Cory, Gardner, and their contributors provide a more comprehensive view by extending MacLean's findings and integrative theory. Supported by new findings and extended by critical analyses of current work, the collection provides foundations for more integrative efforts that the editors and contributors believe will prevail increasingly in coming decades. Looked at from another vantage point, therapeutic, social, economic, and politial sciences have proceeded wtihout operating theories congruent with, or based on, brain functions. Across-species perspectives have been lacking. This collection redresses this problem and leads the way toward more comprehensive 21st century research on the one hand, and practical applications on the other. Multiple approaches extend from modeling efforts to across-species comparisons, to the basic science of psychiatry to theoretical explanations of political and economic systems. But most important, these essays abolish the Berlin wall that currently separates the brain from its social functions. A major guide for scholars, students, and researchers involved in the neurobehavioral sciences, for psychologists, psychiatrists, and others involved with human clinical sciences, and for social scientists concerned with the impact of the nervous system and its function.
Download or read book Emotions written by Stephanie H. M. van Goozen and published by Psychology Press. This book was released on 2013 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based upon lectures presented at an invitational colloquium in honor of Nico Frijda, this collection of essays represents a brief and up-to-date overview of the field of emotions, their significance and how they function. For most, emotions are simply what we feel, giving our lives affective value. Scientists approach emotions differently -- some considering the ""feeling"" aspect to be of little relevance to their research questions. Some investigators consider emotions from a phenomenological perspective, while others believe that the psychophysiological bases of the emotions are of prime im.
