The Handbook Of Brain Theory And Neural Networks
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The Handbook Of Brain Theory And Neural Networks
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Author : Michael A. Arbib
language : en
Publisher: MIT Press
Release Date : 2003
The Handbook Of Brain Theory And Neural Networks written by Michael A. Arbib and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Neural circuitry categories.
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).
The Handbook Of Brain Theory And Neural Networks
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Author : Michael A. Arbib
language : en
Publisher:
Release Date : 2002
The Handbook Of Brain Theory And Neural Networks written by Michael A. Arbib and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Neural networks (Computer science) categories.
The Handbook Of Brain Theory And Neural Networks
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Author : Michael A. Arbib
language : en
Publisher: MIT Press (MA)
Release Date : 1998
The Handbook Of Brain Theory And Neural Networks written by Michael A. Arbib and has been published by MIT Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
Choice Outstanding Academic Title, 1996. In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networks charts the immense progress made in recent years in many specific areas related to great questions: How does the brain work? How can we build intelligent machines? While many books discuss limited aspects of one subfield or another of brain theory and neural networks, the Handbook covers the entire sweep of topics—from detailed models of single neurons, analyses of a wide variety of biological neural networks, and connectionist studies of psychology and language, to mathematical analyses of a variety of abstract neural networks, and technological applications of adaptive, artificial neural networks. Expository material makes the book accessible to readers with varied backgrounds while still offering a clear view of the recent, specialized research on specific topics.
Neural Organization
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Author : Michael A. Arbib
language : en
Publisher: MIT Press
Release Date : 1998
Neural Organization written by Michael A. Arbib and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Medical categories.
In Neural Organization, Arbib, Erdi, and Szentagothai integrate structural, functional, and dynamical approaches to the interaction of brain models and neurobiologcal experiments. Both structure-based "bottom-up" and function- based "top-down" models offer coherent concepts by which to evaluate the experimental data. The goal of this book is to point out the advantages of a multidisciplinary, multistrategied approach to the brain.Part I of Neural Organization provides a detailed introduction to each of the three areas of structure, function, and dynamics. Structure refers to the anatomical aspects of the brain and the relations between different brain regions. Function refers to skills and behaviors, which are explained by means of functional schemas and biologically based neural networks. Dynamics refers to the use of a mathematical framework to analyze the temporal change of neural activities and synaptic connectivities that underlie brain development and plasticity--in terms of both detailed single-cell models and large-scale network models.In part II, the authors show how their systematic approach can be used to analyze specific parts of the nervous system--the olfactory system, hippocampus, thalamus, cerebral cortex, cerebellum, and basal ganglia--as well as to integrate data from the study of brain regions, functional models, and the dynamics of neural networks. In conclusion, they offer a plan for the use of their methods in the development of cognitive neuroscience."
The Neural Simulation Language
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Author : Alfredo Weitzenfeld
language : en
Publisher: MIT Press
Release Date : 2002
The Neural Simulation Language written by Alfredo Weitzenfeld and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Brain categories.
Simulation in NSL - Modeling in NSL - Schematic Capture System - User Interface and Graphical Windows - The Modeling Language NSLM - The Scripting Language NSLS - Adaptive Resonance Theory - Depth Perception - Retina - Receptive Fields - The Associative Search Network: Landmark Learning and Hill Climbing - A Model of Primate Visual-Motor Conditional Learning - The Modular Design of the Oculomotor System in Monkeys - Crowley-Arbib Saccade Model - A Cerebellar Model of Sensorimotor Adaptation - Learning to Detour - Face Recognition by Dynamic Link Matching - Appendix I : NSLM Methods - NSLJ Extensions - NSLC Extensions - NSLJ and NSLC Differences - NSLJ and NSLC Installation Instructions.
Handbook Of Brain Connectivity
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Author : Viktor K. Jirsa
language : en
Publisher: Springer
Release Date : 2007-08-16
Handbook Of Brain Connectivity written by Viktor K. Jirsa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-16 with Technology & Engineering categories.
Our contemporary understanding of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. Cognition and motor coordination seem to arise from the interactions of local neuronal networks, which themselves are connected in large scales across the entire brain. The spatial architectures between various scales inevitably influence the dynamics of the brain and thereby its function. But how can we integrate brain connectivity amongst these structural and functional domains? Our Handbook provides an account of the current knowledge on the measurement, analysis and theory of the anatomical and functional connectivity of the brain. All contributors are leading experts in various fields concerning structural and functional brain connectivity. In the first part of the Handbook, the chapters focus on an introduction and discussion of the principles underlying connected neural systems. The second part introduces the currently available non-invasive technologies for measuring structural and functional connectivity in the brain. Part three provides an overview of the analysis techniques currently available and highlights new developments. Part four introduces the application and translation of the concepts of brain connectivity to behavior, cognition and the clinical domain.
Brain Theory
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Author : Gordon L. Shaw
language : en
Publisher: World Scientific
Release Date : 1988
Brain Theory written by Gordon L. Shaw and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Science categories.
This volume consists of 44 classic and important contributions to brain theory before the enormous growth in interest and publications began in 1983. These papers span the topics of fundamental foundations, concepts, analysis and simulation of network dynamics, memory, information processing, and physical spin analogies.
Neural Networks Theory
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Author : Alexander I. Galushkin
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-29
Neural Networks Theory written by Alexander I. Galushkin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-29 with Technology & Engineering categories.
This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.
Models Of Neural Networks I
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Author : Eytan Domany
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Models Of Neural Networks I written by Eytan Domany and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
One of the great intellectual challenges for the next few decades is the question of brain organization. What is the basic mechanism for storage of memory? What are the processes that serve as the interphase between the basically chemical processes of the body and the very specific and nonstatistical operations in the brain? Above all, how is concept formation achieved in the human brain? I wonder whether the spirit of the physics that will be involved in these studies will not be akin to that which moved the founders of the "rational foundation of thermodynamics". C. N. Yang! 10 The human brain is said to have roughly 10 neurons connected through about 14 10 synapses. Each neuron is itself a complex device which compares and integrates incoming electrical signals and relays a nonlinear response to other neurons. The brain certainly exceeds in complexity any system which physicists have studied in the past. Nevertheless, there do exist many analogies of the brain to simpler physical systems. We have witnessed during the last decade some surprising contributions of physics to the study of the brain. The most significant parallel between biological brains and many physical systems is that both are made of many tightly interacting components.
Neural Networks And Brain Function
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Author : Edmund T. Rolls
language : en
Publisher: Oxford University Press, USA
Release Date : 1998
Neural Networks And Brain Function written by Edmund T. Rolls and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
The aim of this book is to describe the types of computation that can be performed by biologically plausible neural networks, and to show how these may be implemented in different systems in the brain. Neural Networks and Brain Function is structured in three sections, each of which addresses a different need in the market. The first section introduces and describes the operation of several fundamental types of neural network. The second section describes real neural networks in severalbrain systems, and shows how it is becoming possible to construct theories about how some parts of the brain work; it also provides an indication of the different neuroscience and neurocomputation techniques that will need to be combined to ensure further rapid progress in understanding how parts of the brain work. The third section, a collection of appendices, introduces the more formal quantitative approaches to many of the networks described. This is a clearly written and thoughtfully structured introduction to a fascinating and complex field of neuroscience. It will be a key text for researchers, graduate students and advanced undergraduates in the field, particularly for those without a background in computer science.