Oscillatory Neural Networks
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Oscillatory Neural Networks
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Author : Margarita G. Kuzmina
language : en
Publisher: Walter de Gruyter
Release Date : 2013-11-27
Oscillatory Neural Networks written by Margarita G. Kuzmina and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-27 with Science categories.
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 : 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.
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
Oscillations In Neural Systems
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Author : Daniel S. Levine
language : en
Publisher: Psychology Press
Release Date : 1999-09-01
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 1999-09-01 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.
Dendrites
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Author : Greg Stuart
language : en
Publisher: Oxford University Press, USA
Release Date : 2007
Dendrites written by Greg Stuart 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 2007 with Medical categories.
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.
Neural Network Dynamics
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Author : J.G. Taylor
language : en
Publisher: Springer
Release Date : 1992-10-12
Neural Network Dynamics written by J.G. Taylor and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-10-12 with Computers categories.
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.
Towards An Integrated Approach To Measurement Analysis And Modeling Of Cortical Networks
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Author : A. Ravishankar Rao
language : en
Publisher: Frontiers Media SA
Release Date : 2016-03-17
Towards An Integrated Approach To Measurement Analysis And Modeling Of Cortical Networks written by A. Ravishankar Rao and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-17 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.
The amount of data being produced by neuroscientists is increasing rapidly, driven by advances in neuroimaging and recording techniques spanning multiple scales of resolution. The availability of such data poses significant challenges for their processing and interpretation. To gain a deeper understanding of the surrounding issues, the Editors of this e-Book reached out to an interdisciplinary community, and formed the Cortical Networks Working Group, and the genesis of this e-Book thus began with the formation of this Working Group, which was supported by the National Institute for Mathematical and Biological Synthesis in the USA. The Group consisted of scientists from neuroscience, physics, psychology and computer science, and meetings were held in person. (A detailed list of the group members is presented in the Editorial that follows.) At the time we started, in 2010, the term “big data” was hardly in existence, though the volume of data we were handling would certainly have qualified. Furthermore, there was significant interest in harnessing the power of supercomputers to perform large scale neuronal simulations, and in creating specialized hardware to mimic neural function. We realized that the various disciplines represented in our Group could and should work together to accelerate progress in Neuroscience. We searched for common threads that could define the foundation for an integrated approach to solve important problems in the field. We adopted a network-centric perspective to address these challenges, as the data are derived from structures that are themselves network-like. We proposed three inter-twined threads, consisting of measurement of neural activity, analysis of network structures deduced from this activity, and modeling of network function, leading to theoretical insights. This approach formed the foundation of our initial call for papers. When we issued the call for papers, we were not sure how many papers would fall into each of these threads. We were pleased that we found significant interest in each thread, and the number of submissions exceeded our expectations. This is an indication that the field of neuroscience is ripe for the type of integration and interchange that we had anticipated. We first published a special topics issue after we received a sufficient number of submissions. This is now being converted to an e-book to strengthen the coherence of its contributions. One of the strong themes emerging in this e-book is that network-based measures capture better the dynamics of brain processes, and provide features with greater discriminative power than point-based measures. Another theme is the importance of network oscillations and synchrony. Current research is shedding light on the principles that govern the establishment and maintenance of network oscillation states. These principles could explain why there is impaired synchronization between different brain areas in schizophrenics and Parkinson’s patients. Such research could ultimately provide the foundation for an understanding of other psychiatric and neurodegenerative conditions. The chapters in this book cover these three main threads related to cortical networks. Some authors have combined two or more threads within a single chapter. We expect the availability of related work appearing in a single e-book to help our readers see the connection between different research efforts, and spur further insights and research.
The Oscillating Brain
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Author : Timothy D. Sheehan M.D.
language : en
Publisher: LifeRich Publishing
Release Date : 2016-01-12
The Oscillating Brain written by Timothy D. Sheehan M.D. and has been published by LifeRich Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-12 with Science categories.
The Oscillating Brain explains for the first time how the human brain works. Neural oscillation is a form of repetitive activity which is characteristic of complex systems. The brain has extensive reciprocal connections. Reciprocal connectivity is the basis for neural oscillation. While some patterns of neural oscillation are localized (restricted to specific regions of the brain), others involve reciprocal connections between geographically separate areas of the brain permitting more widespread neural network interaction. Neural network oscillation transforms the brains three-pound mass of grey matter into a dynamic medium. Conscious experience involves the integrated interaction of both sensory and motor areas of the brain. Our experience of reality is the product of brain activity. Reality, as it is constructed by our brain, is an inherently simplified version of the world that enables us to respond rapidly to developing situations in a fashion that promotes survival. Our reality is heavily biased by our emotional reactions. We see the world in terms of good and evil and continually strive for good as a means of enhancing our sense of security. However, differences in our experience of good and evil have been a source of human conflict for as long as mankind has been on this planet. Global information networks and our increasing economic interdependence have made these differences increasingly difficult to ignore. Human striving for an absolute level of certainty and security threatens our day-to-day existence. We must learn to recognize the limitations of the human brain.
Emerging Nanoelectronic Devices
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Author : An Chen
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-27
Emerging Nanoelectronic Devices written by An Chen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-27 with Technology & Engineering categories.
Emerging Nanoelectronic Devices focuses on the future direction of semiconductor and emerging nanoscale device technology. As the dimensional scaling of CMOS approaches its limits, alternate information processing devices and microarchitectures are being explored to sustain increasing functionality at decreasing cost into the indefinite future. This is driving new paradigms of information processing enabled by innovative new devices, circuits, and architectures, necessary to support an increasingly interconnected world through a rapidly evolving internet. This original title provides a fresh perspective on emerging research devices in 26 up to date chapters written by the leading researchers in their respective areas. It supplements and extends the work performed by the Emerging Research Devices working group of the International Technology Roadmap for Semiconductors (ITRS). Key features: • Serves as an authoritative tutorial on innovative devices and architectures that populate the dynamic world of “Beyond CMOS” technologies. • Provides a realistic assessment of the strengths, weaknesses and key unknowns associated with each technology. • Suggests guidelines for the directions of future development of each technology. • Emphasizes physical concepts over mathematical development. • Provides an essential resource for students, researchers and practicing engineers.
Neural Representation Of Temporal Patterns
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Author : E. Covey
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Neural Representation Of Temporal Patterns written by E. Covey 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.
Models Of Neural Networks
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Author : Eytan Domany
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Models Of Neural Networks 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 2013-11-11 with Science categories.
Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has focused on two paradigms: information coding through coherent firing of the neurons and functional feedback. Information coding through coherent neuronal firing exploits time as a cardinal degree of freedom. This capacity of a neural network rests on the fact that the neuronal action potential is a short, say 1 ms, spike, localized in space and time. Spatial as well as temporal correlations of activity may represent different states of a network. In particular, temporal correlations of activity may express that neurons process the same "object" of, for example, a visual scene by spiking at the very same time. The traditional description of a neural network through a firing rate, the famous S-shaped curve, presupposes a wide time window of, say, at least 100 ms. It thus fails to exploit the capacity to "bind" sets of coherently firing neurons for the purpose of both scene segmentation and figure-ground segregation. Feedback is a dominant feature of the structural organization of the brain. Recurrent neural networks have been studied extensively in the physical literature, starting with the ground breaking work of John Hop field (1982).