Oscillatory Neural Networks

Author : Margarita G. Kuzmina
Publisher : Walter de Gruyter
ISBN 13 : 9783110269215
Total Pages : 160 pages
Book Rating : 4.1X/5 ( download)

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Download or read book Oscillatory Neural Networks written by Margarita G. Kuzmina and published by Walter de Gruyter. This book was released on 2013 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural-like oscillatory network models allow to elucidate the possibilities of dynamical, synchronization-based types of image processing exploited by the brain. The oscillatory network capabilities, studied by means of computer modeling and qualitative analysis, are presented and discussed in this book, as well as several other problems of parallel distributed information processing.

Author : Margarita G. Kuzmina
Publisher : Walter de Gruyter
ISBN 13 : 3110269201
Total Pages : 172 pages
Book Rating : 4.08/5 ( download)

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Download or read book Oscillatory Neural Networks written by Margarita G. Kuzmina and published by Walter de Gruyter. This book was released on 2013-11-27 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding of the human brain functioning currently represents a challenging problem. In contrast to usual serial computers and complicated hierarchically organized artificial man-made systems, decentralized, parallel and distributed information processing principles are inherent to the brain. Besides adaptation and learning, which play a crucial role in brain functioning, oscillatory neural activity, synchronization and resonance accompany the brain work. Neural-like oscillatory network models, designed by the authors for image processing, allow to elucidate the capabilities of dynamical, synchronization-based types of image processing, presumably exploited by the brain. The oscillatory network models, studied by means of computer modeling and qualitative analysis, are presented and discussed in the book. Some other problems of parallel distributed information processing are also considered, such as a recall process from network memory for large-scale recurrent associative memory neural networks, performance of oscillatory networks of associative memory, dynamical oscillatory network methods of image processing with synchronization-based performance, optical parallel information processing based on the nonlinear optical phenomenon of photon echo, and modeling random electric fields of quasi-monochromatic polarized light beams using systems of superposed stochastic oscillators. This makes the book highly interesting to researchers dealing with various aspects of parallel information processing.

Author : Daniel S. Levine
Publisher : Psychology Press
ISBN 13 : 1135691908
Total Pages : 454 pages
Book Rating : 4.05/5 ( download)

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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

Author : Lipo Wang
Publisher :
ISBN 13 :
Total Pages : 144 pages
Book Rating : 4.98/5 ( download)

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Download or read book Artificial Neural Networks written by Lipo Wang and published by . This book was released on 1993 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
ISBN 13 : 1119159067
Total Pages : 586 pages
Book Rating : 4.63/5 ( download)

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Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-11-13 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

Author : Greg Stuart
Publisher : Oxford University Press, USA
ISBN 13 : 0198566565
Total Pages : 578 pages
Book Rating : 4.64/5 ( download)

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Download or read book Dendrites written by Greg Stuart and published by Oxford University Press, USA. This book was released on 2007 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dendrites form the major receiving part of neurons. This text presents a survey of knowledge on dendrites, from their morphology and development, through to their electrical chemical, and computational properties.

Author : J.G. Taylor
Publisher : Springer Science & Business Media
ISBN 13 : 1447119657
Total Pages : 153 pages
Book Rating : 4.54/5 ( download)

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Download or read book Coupled Oscillating Neurons written by J.G. Taylor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume consists of proceedings of the one-day conference on "Coupled Oscillating Neurons" held at King's College, London on December 13th, 1990. The subject is currently of increasing interest to neurophysiologists, neural network researchers, applied mathematicians and physicists. The papers attempt to cover the major areas of the subject, as the titles indicate. It is hoped that the appearance of the papers (some of which have been updated since their original presentation) indicates why the subject is becoming of great excitement. A better understanding of coupled oscillating neurons may well hold the key to a clearer appreciation of the manner in which neural networks composed of such elements can control complex behaviour from the heart to consciousness. December 1991 J.G. Taylor King's College, London C.L.T. Mannion CONTENTS Contributors....... ..................... .......... .......................... .................... ix Introduction to Nonlinear Oscillators I. Stewart ....................................................................................... . Identical Oscillator Networks with Symmetry P.B. Ashwin .................................................................................... 21 Bifurcating Neurones AV. Holden, J. Hyde, M.A Muhamad, H.G. Zhang....................... 41 A Model for Low Threshold Oscillations in Neurons J.L. Hindmarsh, R.M. Rose ............................................................ 81 Information Processing by Oscillating Neurons C.L. T. Mannion, J.G. Taylor ........................................................... 100 Gamma Oscillations, Association and Consciousness R.M.J. Cotterill, C. Nielsen ............................................................. 117 Modelling of Cardiac Rhythm: From Single Celis to Massive Networks D. Noble, J. C. Denyer, H.F. Brown, R. Winslow, A Kimball .......... 1 32 CONTRIBUTORS Ashwin, P.B. Mathematics Institute, University of Warwick, Coventry, CV4 7 AL, UK Brown, H.F.

Author : Elliot Murphy
Publisher : Cambridge University Press
ISBN 13 : 1108836313
Total Pages : 337 pages
Book Rating : 4.19/5 ( download)

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Download or read book The Oscillatory Nature of Language written by Elliot Murphy and published by Cambridge University Press. This book was released on 2020-11-05 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develops a theory of how language is processed in the brain and provides a state-of-the-art review of current neuroscientific debates.

Author : John Gerald Taylor
Publisher : Springer
ISBN 13 : 9780387197449
Total Pages : 145 pages
Book Rating : 4.43/5 ( download)

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Download or read book Coupled Oscillating Neurons written by John Gerald Taylor and published by Springer. This book was released on 1992 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Peter Whittle
Publisher : World Scientific
ISBN 13 : 1848165900
Total Pages : 244 pages
Book Rating : 4.08/5 ( download)

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Download or read book Neural Nets and Chaotic Carriers written by Peter Whittle and published by World Scientific. This book was released on 2010 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Nets and Chaotic Carriers develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by the meaninglessness of absolute signal levels.Design is based on the criterion that an associative memory must be able to cope with ?fading data?, i.e., to form an inference from the data even as its memory of that data degrades. The resultant net shows striking biological parallels. When these principles are combined with the Freeman specification of a neural oscillator, some remarkable effects emerge. For example, the commonly-observed phenomenon of neuronal bursting appears, with gamma-range oscillation modulated by a low-frequency square-wave oscillation (the ?escapement oscillation?). Bridging studies and new results of artificial and biological neural networks, the book has a strong research character. It is, on the other hand, accessible to non-specialists for its concise exposition on the basics.