Oscillatory Neural Networks

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Author :
Publisher : Walter de Gruyter
ISBN 13 : 3110269201
Total Pages : 172 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis Oscillatory Neural Networks by : Margarita G. Kuzmina

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.

Oscillations in Neural Systems

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Author :
Publisher : Psychology Press
ISBN 13 : 1135691908
Total Pages : 454 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Oscillations in Neural Systems by : Daniel S. Levine

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

Artificial Neural Networks

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Author :
Publisher :
ISBN 13 :
Total Pages : 144 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Artificial Neural Networks by : Lipo Wang

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:

Coupled Oscillating Neurons

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Publisher : Springer
ISBN 13 : 9780387197449
Total Pages : 145 pages
Book Rating : 4.1/5 (974 download)

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Book Synopsis Coupled Oscillating Neurons by : John Gerald Taylor

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:

Coupled Oscillating Neurons

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1447119657
Total Pages : 153 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Coupled Oscillating Neurons by : J.G. Taylor

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.

Neural Nets and Chaotic Carriers

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Publisher : World Scientific
ISBN 13 : 1848165900
Total Pages : 244 pages
Book Rating : 4.8/5 (481 download)

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Book Synopsis Neural Nets and Chaotic Carriers by : Peter Whittle

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.

Neural Network Dynamics

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Publisher : Springer Science & Business Media
ISBN 13 : 1447120019
Total Pages : 378 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Network Dynamics by : J.G. Taylor

Download or read book Neural Network Dynamics written by J.G. Taylor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Dynamics is the latest volume in the Perspectives in Neural Computing series. It contains papers presented at the 1991 Workshop on Complex Dynamics in Neural Networks, held at IIASS in Vietri, Italy. The workshop encompassed a wide range of topics in which neural networks play a fundamental role, and aimed to bridge the gap between neural computation and computational neuroscience. The papers - which have been updated where necessary to include new results - are divided into four sections, covering the foundations of neural network dynamics, oscillatory neural networks, as well as scientific and biological applications of neural networks. Among the topics discussed are: A general analysis of neural network activity; Descriptions of various network architectures and nodes; Correlated neuronal firing; A theoretical framework for analyzing the behaviour of real and simulated neuronal networks; The structural properties of proteins; Nuclear phenomenology; Resonance searches in high energy physics; The investigation of information storage; Visual cortical architecture; Visual processing. Neural Network Dynamics is the first volume to cover neural networks and computational neuroscience in such detail. Although it is primarily aimed at researchers and postgraduate students in the above disciplines, it will also be of interest to researchers in electrical engineering, medicine, psychology and philosophy.

The Oscillatory Nature of Language

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Publisher : Cambridge University Press
ISBN 13 : 1108836313
Total Pages : 337 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis The Oscillatory Nature of Language by : Elliot Murphy

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.

Neuronal Oscillations of Wakefulness and Sleep

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Author :
Publisher : Springer
ISBN 13 : 9781071606582
Total Pages : 277 pages
Book Rating : 4.6/5 (65 download)

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Book Synopsis Neuronal Oscillations of Wakefulness and Sleep by : Thien Thanh Dang-Vu

Download or read book Neuronal Oscillations of Wakefulness and Sleep written by Thien Thanh Dang-Vu and published by Springer. This book was released on 2021-05-30 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this work is to review recent findings highlighting the mechanisms and functions of the neuronal oscillations that structure brain activity across the sleep-wake cycle. An increasing number of studies conducted in humans and animals, and using a variety of techniques ranging from intracellular recording to functional neuroimaging, has provided important insight into the mechanisms and functional properties of these brain rhythms. Studies of these rhythms are fundamental not only for basic neuroscience, but also for clinical neuroscience. At the basic science level, neuronal oscillations shape the interactions between different areas of the brain and profoundly impact neural responses to the environment, thereby mediating the processing of information in the brain. At the clinical level, brain oscillations are affected in numerous neurological conditions and might provide useful biomarkers that inform about patients’ evolution and vulnerability. During sleep, these brain rhythms could provide functional support to internal states that govern the basic maintenance of local circuit and systemic interactions. During wake, the rhythmicity of cortical and subcortical circuits have been linked with sensory processing, cognitive operations, and preparation for action. This book will attempt to link together these sleep and wake functional roles at the level of neuroimaging and electroencephalographic measures, local field potentials, and even at the cellular level. ​

Dendrites

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Publisher : Oxford University Press, USA
ISBN 13 : 0198566565
Total Pages : 578 pages
Book Rating : 4.1/5 (985 download)

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Book Synopsis Dendrites by : Greg Stuart

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.

Applications of Pulse-Coupled Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 3642137458
Total Pages : 206 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Applications of Pulse-Coupled Neural Networks by : Yide Ma

Download or read book Applications of Pulse-Coupled Neural Networks written by Yide Ma and published by Springer Science & Business Media. This book was released on 2011-09-02 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields. This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science. Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.

Perspectives and Problems in Nonlinear Science

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Publisher : Springer Science & Business Media
ISBN 13 : 0387217894
Total Pages : 445 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Perspectives and Problems in Nonlinear Science by : Ehud Kaplan

Download or read book Perspectives and Problems in Nonlinear Science written by Ehud Kaplan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lawrence Sirovich will turn seventy on March 1, 2003. Larry's academic life of over 45 years at the Courant Institute, Brown University, Rockefeller University and the Mount Sinai School of Medicine has touched many peo ple and several disciplines, from fluid dynamics to brain theory. His con tributions to the kinetic theory of gases, methods of applied mathematics, theoretical fluid dynamics, hydrodynamic turbulence, the biophysics of vi sion and the dynamics of neuronal populations, represent the creative work of an outstanding scholar who was stimulated mostly by insatiable curios ity. As a scientist, Larry has consistently offered fresh outlooks on classical and difficult subjects, and moved into new fields effortlessly. He delights in what he knows and does, and sets no artificial boundaries to the range of his inquiry. Among the more than fifty or so Ph. D. students and post docs that he has mentored, many continue to make first-rate contributions themselves and hold academic positions in the US and elsewhere. Larry's scientific collaborators are numerous and distinguished. Those of us who have known him well will agree that Larry's charm, above all, is his taste, wit, and grace under fire. Larry has contributed immensely to mathematics publishing. He be gan his career with Springer by founding the Applied Mathematical Sci ences series together with Fritz John and Joe LaSalle some 30 years ago. Later he co-founded the Texts in Applied Mathematics series and more re cently the Interdisciplinary Applied Mathematics series.

The Relevance of the Time Domain to Neural Network Models

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Publisher : Springer Science & Business Media
ISBN 13 : 1461407249
Total Pages : 234 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis The Relevance of the Time Domain to Neural Network Models by : A. Ravishankar Rao

Download or read book The Relevance of the Time Domain to Neural Network Models written by A. Ravishankar Rao and published by Springer Science & Business Media. This book was released on 2011-09-18 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: A significant amount of effort in neural modeling is directed towards understanding the representation of information in various parts of the brain, such as cortical maps [6], and the paths along which sensory information is processed. Though the time domain is integral an integral aspect of the functioning of biological systems, it has proven very challenging to incorporate the time domain effectively in neural network models. A promising path that is being explored is to study the importance of synchronization in biological systems. Synchronization plays a critical role in the interactions between neurons in the brain, giving rise to perceptual phenomena, and explaining multiple effects such as visual contour integration, and the separation of superposed inputs. The purpose of this book is to provide a unified view of how the time domain can be effectively employed in neural network models. A first direction to consider is to deploy oscillators that model temporal firing patterns of a neuron or a group of neurons. There is a growing body of research on the use of oscillatory neural networks, and their ability to synchronize under the right conditions. Such networks of synchronizing elements have been shown to be effective in image processing and segmentation tasks, and also in solving the binding problem, which is of great significance in the field of neuroscience. The oscillatory neural models can be employed at multiple scales of abstraction, ranging from individual neurons, to groups of neurons using Wilson-Cowan modeling techniques and eventually to the behavior of entire brain regions as revealed in oscillations observed in EEG recordings. A second interesting direction to consider is to understand the effect of different neural network topologies on their ability to create the desired synchronization. A third direction of interest is the extraction of temporal signaling patterns from brain imaging data such as EEG and fMRI. Hence this Special Session is of emerging interest in the brain sciences, as imaging techniques are able to resolve sufficient temporal detail to provide an insight into how the time domain is deployed in cognitive function. The following broad topics will be covered in the book: Synchronization, phase-locking behavior, image processing, image segmentation, temporal pattern analysis, EEG analysis, fMRI analyis, network topology and synchronizability, cortical interactions involving synchronization, and oscillatory neural networks. This book will benefit readers interested in the topics of computational neuroscience, applying neural network models to understand brain function, extracting temporal information from brain imaging data, and emerging techniques for image segmentation using oscillatory networks

Weakly Connected Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 1461218284
Total Pages : 404 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Weakly Connected Neural Networks by : Frank C. Hoppensteadt

Download or read book Weakly Connected Neural Networks written by Frank C. Hoppensteadt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Devoted to local and global analysis of weakly connected systems with applications to neurosciences, this book uses bifurcation theory and canonical models as the major tools of analysis. It presents a systematic and well motivated development of both weakly connected system theory and mathematical neuroscience, addressing bifurcations in neuron and brain dynamics, synaptic organisations of the brain, and the nature of neural codes. The authors present classical results together with the most recent developments in the field, making this a useful reference for researchers and graduate students in various branches of mathematical neuroscience.

Brain Oscillations in Human Communication

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Publisher : Frontiers Media SA
ISBN 13 : 2889454584
Total Pages : 199 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Brain Oscillations in Human Communication by : Anne Keitel

Download or read book Brain Oscillations in Human Communication written by Anne Keitel and published by Frontiers Media SA. This book was released on 2018-04-20 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain oscillations, or neural rhythms, reflect widespread functional connections between large-scale neural networks, as well as within cortical networks. As such they have been related to many aspects of human behaviour. An increasing number of studies have demonstrated the role of brain oscillations at distinct frequency bands in cognitive, sensory and motor tasks. Consequentially, those rhythms also affect diverse aspects of human communication. On the one hand, this comprises verbal communication; a field where the understanding of neural mechanisms has seen huge advances in recent years. Speech is inherently organised in a rhythmic manner. For example, time scales of phonemes and syllables, but also formal prosodic aspects such as intonation and stress, fall into distinct frequency bands. Likewise, neural rhythms in the brain play a role in speech segmentation and coding of continuous speech at multiple time scales, as well as in the production of speech. On the other hand, human communication involves widespread and diverse nonverbal aspects where the role of neural rhythms is far less understood. This can be the enhancement of speech processing through visual signals, thought to be guided via brain oscillations, or the conveying of emotion, which results in differential rhythmic modulations in the observer. Additionally, body movements and gestures often have a communicative purpose and are known to modulate sensorimotor rhythms in the observer. This Research Topic of Frontiers in Human Neuroscience highlights the diverse aspects of human communication that are shaped by rhythmic activity in the brain. Relevant contributions are presented from various fields including cognitive and social neuroscience, neuropsychiatry, and methodology. As such they provide important new insights into verbal and non-verbal communication, pathological changes, and methodological innovations.

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

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Author :
Publisher : Marcel Alencar
ISBN 13 : 0262112124
Total Pages : 581 pages
Book Rating : 4.2/5 (621 download)

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Book Synopsis Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering by : Nikola K. Kasabov

Download or read book Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering written by Nikola K. Kasabov and published by Marcel Alencar. This book was released on 1996 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.

Low Dimensional Dynamics and Bifurcations in Oscillatory Neural Networks

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Publisher :
ISBN 13 : 9783897227231
Total Pages : 176 pages
Book Rating : 4.2/5 (272 download)

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Book Synopsis Low Dimensional Dynamics and Bifurcations in Oscillatory Neural Networks by : Jürgen Schwarz

Download or read book Low Dimensional Dynamics and Bifurcations in Oscillatory Neural Networks written by Jürgen Schwarz and published by . This book was released on 2001 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: