Theoretical Mechanics Of Biological Neural Networks
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Theoretical Mechanics Of Biological Neural Networks
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Author : Ronald J. MacGregor
language : en
Publisher: Elsevier
Release Date : 2012-12-02
Theoretical Mechanics Of Biological Neural Networks written by Ronald J. MacGregor and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Science categories.
Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in single neurons. The approach relates computer simulation programs for neurons of arbitrary complexity to fundamental gating processes of transmembrance ionic fluxes of synapses of excitable membranes. Listings of representative computer programs simulating arbitrary neurons, and local and composite neural networks are included. Develops a theory of dynamic similarity for characterising the firing rate sensitivites of neurons in terms of their characteristic anatomical and physiological parameters Presents the sequential configuration theory - a theoretical presentation of coordinated firing patterns in entire neural population Presents the outlines of mechanics for multiple interacting networks in composite systems
Neural Network Modeling
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Author : P. S. Neelakanta
language : en
Publisher: CRC Press
Release Date : 2018-02-06
Neural Network Modeling written by P. S. Neelakanta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-06 with Technology & Engineering categories.
Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions.
Rethinking Neural Networks
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Author : Karl H. Pribram
language : en
Publisher: Psychology Press
Release Date : 2014-04-08
Rethinking Neural Networks written by Karl H. Pribram and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-08 with Psychology categories.
The result of the first Appalachian Conference on neurodynamics, this volume focuses on processing in biological neural networks. How do brain processes become organized during decision making? That is, what are the neural antecedents that determine which course of action is to be pursued? Half of the contributions deal with modelling synapto-dendritic and neural ultrastructural processes; the remainder, with laboratory research findings, often cast in terms of the models. The interchanges at the conference and the ensuing publication also provide a foundation for further meetings. These will address how processes in different brain systems, coactive with the neural residues of experience and with sensory input, determine decisions.
Theory Of Neural Information Processing Systems
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Author : A.C.C. Coolen
language : en
Publisher: OUP Oxford
Release Date : 2005-07-21
Theory Of Neural Information Processing Systems written by A.C.C. Coolen and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-21 with Neural networks (Computer science) categories.
Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative discipline, including mathematics, computer science, physics, engineering or biology, and has been thoroughly class-tested by the authors over a period of some 8 years. Exercises are presented throughout the text and notes on historical background and further reading guide the student into the literature. All mathematical details are included and appendices provide further background material, including probability theory, linear algebra and stochastic processes, making this textbook accessible to a wide audience.
Information Theoretic Aspects Of Neural Networks
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Author : P. S. Neelakanta
language : en
Publisher: CRC Press
Release Date : 2020-09-23
Information Theoretic Aspects Of Neural Networks written by P. S. Neelakanta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-23 with Technology & Engineering categories.
Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information storage, information-theoretic based cost-functions, and neurocybernetics and self-organization. Existing studies only sparsely cover the entropy and/or cybernetic aspects of neural information. Information-Theoretic Aspects of Neural Networks cohesively explores this burgeoning discipline, covering topics such as: Shannon information and information dynamics neural complexity as an information processing system memory and information storage in the interconnected neural web extremum (maximum and minimum) information entropy neural network training non-conventional, statistical distance-measures for neural network optimizations symmetric and asymmetric characteristics of information-theoretic error-metrics algorithmic complexity based representation of neural information-theoretic parameters genetic algorithms versus neural information dynamics of neurocybernetics viewed in the information-theoretic plane nonlinear, information-theoretic transfer function of the neural cellular units statistical mechanics, neural networks, and information theory semiotic framework of neural information processing and neural information flow fuzzy information and neural networks neural dynamics conceived through fuzzy information parameters neural information flow dynamics informatics of neural stochastic resonance Information-Theoretic Aspects of Neural Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. The information in this book explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.
Statistical Mechanics Of Neural Networks
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Author : Haiping Huang
language : en
Publisher:
Release Date : 2021
Statistical Mechanics Of Neural Networks written by Haiping Huang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques, the Nishimori condition, variational methods, the dynamical mean-field theory, unsupervised learning, associative memory models, perceptron models, the chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have skillsets to understand and use neural networks. The book focuses on quantitative frameworks of neural network models where the underlying mechanisms can be precisely isolated by physics of mathematical beauty and theoretical predictions. It is a good reference for students, researchers, and practitioners in the area of neural networks.
On The Contexts Of Things Human An Integrative View Of Brain Consciousness And Freedom Of Will
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Author : Ronald J Macgregor
language : en
Publisher: World Scientific
Release Date : 2006-04-11
On The Contexts Of Things Human An Integrative View Of Brain Consciousness And Freedom Of Will written by Ronald J Macgregor and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-11 with Medical categories.
This book is unique in expanding the boundaries of neuroscience, while remaining solidly grounded within it. In this, it outlines a new plateau of wider integrative understanding both within and beyond neuroscience. The book advances the view and implications of an integrated functional unity of consciousness and brain, inclusive of freedom of will. It reaches from first principles of human awareness and apprehension and the physical foundations of consciousness, through a structured integrative view of consciousness and the brain, to outlines of the ambient contextual influences of human living. Comprehensive overviews of brain theory and theoretical neuroscience are given. Fundamental brain functions of human apprehension, language, value, aesthetics, rational and extrarational knowing, biological primals, and adaptive integrations are seen to operate within such ambient influences as whole of nature, human plight, circumstances, personal life, good and evil, inner depths, worlds of man, and enlightenments.Prof Ronald MacGregor has published extensively in theoretical neuroscience since 1965, consistently advocating the foundationality of physiology and physical law in brain-mind function. His work has helped ground neuroelectric signaling within physical science and characterize the neuroelectric patterns of neurons and neural networks.
Neural Network Modeling
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Author : P. S. Neelakanta
language : en
Publisher: CRC Press
Release Date : 1994-07-12
Neural Network Modeling written by P. S. Neelakanta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-07-12 with Technology & Engineering categories.
Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions.
Math And Bio 2010
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Author : Lynn Arthur Steen
language : en
Publisher: MAA
Release Date : 2005
Math And Bio 2010 written by Lynn Arthur Steen and has been published by MAA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematics categories.
"Math and bio 2010 grew out of 'Meeting the Challenges: Education across the Biological, Mathematical and Computer Sciences,' a joint project of the Mathematical Association of America (MAA), the National Science Foundation Division of Undergraduate Education (NSF DUE), the National Institute of General Medical Sciences (NIGMS), the American Association for the Advancement of Science (AAAS), and the American Society for Microbiology (ASM)."--Foreword, p. vi
Oscillations In Neural Systems
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Author : Daniel S. Levine
language : en
Publisher: Psychology Press
Release Date : 1999-09
Oscillations In Neural Systems written by Daniel S. Levine and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-09 with Psychology categories.
This book is the fourth in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics (MIND), an interdisciplinary organization of Dallas-Fort Worth area neural network professionals in both academia and industry. This topic was chosen as the focus for this special issue because of the increasing interest by neuroscientists and psychologists in both rhythmic and chaotic activity patterns observed in the nervous system. Neither the mathematical structure of neural oscillations nor their functional significance is precisely understood. There are a great many open problems in both the structure and function of neural oscillations, whether rhythmic, chaotic, or a combination of the two, and many of these problems are dealt with in the chapters of this book.