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Neuronal Information Processing

Neuronal Information Processing PDF Author: G Burdet
Publisher: World Scientific
ISBN: 981449514X
Category : Computers
Languages : en
Pages : 220

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Book Description
Recent developments in the neurosciences have considerably modified our knowledge of both the operating modes of neurons and information processing in the cortex. Multi-unit recordings have enabled temporal correlations to be detected, within temporal windows of the order of 1ms. Oscillations corresponding to a quasi-periodic spike-giving, synchronized over several visual cortical areas, have been observed in anaesthesized cats and monkeys. Recent studies have also focused on the role played by the dendritic arborization. These developments have led to considerable interest in a coding scheme which relies on precise spatio-temporal patterns from both the theoretical and experimental points of view. This prompts us to look into new models for information processing which will proceed, for example, from a synchronous detection of correlated spike giving, and is particularly robust against noise. Such models could bring about original technical applications for information processing and control. Further developments in this field may be of major importance for our understanding of the basic mechanisms of perception and cognition. They could also lead to new concepts in applications directed towards artificial perception and pattern recognition. Up to now, artificial systems for pattern recognition are far from reaching the standards of human vision. Systems based on a temporal coding by spikes may now be expected to bring about major improvements in this field. This book covers the lectures delivered at a summer school on neuronal information processing. It includes information on all the above-mentioned developments, and also provides the reader with the state-of-the-art in every relevant field, including the neurosciences, physics, mathematics, and information and control theory. Contents: Temporal Coding With and Without Clocks (R Lestienne)Modeling Synfire Networks (J A Hertz)Neuronal Decoding of Temporal Signal (O Parodi)Algorithms for the Detection of Connectedness and Their Neural Implementation (P R Roelfsema et al.)From Complex Signal to Adapted Behavior. A Theoretical Approach of the Honeybee Olfactory Brain (B Quenet et al.)Reducing the Complexity of Neural Nets for Industrial Applications and Biological Models (G Dreyfus)Positive Regulation Circuits and Memory (J Demongeot)Sensory Coding: Information Maximization and Redundancy Reduction (J-P Nadal & N Parga)Learning: A Geometrical Approach (G Burdet et al.) Readership: Students and researchers in neural networks and artificial intelligence. Keywords:Neuroscience;Information Processing;Dendritic Arborization;Perception;Cognition;Pattern Recognition;Control Theory;Neural Nets;Sensory Coding;Temporal Coding

Neuronal Information Processing

Neuronal Information Processing PDF Author: G Burdet
Publisher: World Scientific
ISBN: 981449514X
Category : Computers
Languages : en
Pages : 220

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Book Description
Recent developments in the neurosciences have considerably modified our knowledge of both the operating modes of neurons and information processing in the cortex. Multi-unit recordings have enabled temporal correlations to be detected, within temporal windows of the order of 1ms. Oscillations corresponding to a quasi-periodic spike-giving, synchronized over several visual cortical areas, have been observed in anaesthesized cats and monkeys. Recent studies have also focused on the role played by the dendritic arborization. These developments have led to considerable interest in a coding scheme which relies on precise spatio-temporal patterns from both the theoretical and experimental points of view. This prompts us to look into new models for information processing which will proceed, for example, from a synchronous detection of correlated spike giving, and is particularly robust against noise. Such models could bring about original technical applications for information processing and control. Further developments in this field may be of major importance for our understanding of the basic mechanisms of perception and cognition. They could also lead to new concepts in applications directed towards artificial perception and pattern recognition. Up to now, artificial systems for pattern recognition are far from reaching the standards of human vision. Systems based on a temporal coding by spikes may now be expected to bring about major improvements in this field. This book covers the lectures delivered at a summer school on neuronal information processing. It includes information on all the above-mentioned developments, and also provides the reader with the state-of-the-art in every relevant field, including the neurosciences, physics, mathematics, and information and control theory. Contents: Temporal Coding With and Without Clocks (R Lestienne)Modeling Synfire Networks (J A Hertz)Neuronal Decoding of Temporal Signal (O Parodi)Algorithms for the Detection of Connectedness and Their Neural Implementation (P R Roelfsema et al.)From Complex Signal to Adapted Behavior. A Theoretical Approach of the Honeybee Olfactory Brain (B Quenet et al.)Reducing the Complexity of Neural Nets for Industrial Applications and Biological Models (G Dreyfus)Positive Regulation Circuits and Memory (J Demongeot)Sensory Coding: Information Maximization and Redundancy Reduction (J-P Nadal & N Parga)Learning: A Geometrical Approach (G Burdet et al.) Readership: Students and researchers in neural networks and artificial intelligence. Keywords:Neuroscience;Information Processing;Dendritic Arborization;Perception;Cognition;Pattern Recognition;Control Theory;Neural Nets;Sensory Coding;Temporal Coding

Information Processing by Neuronal Populations

Information Processing by Neuronal Populations PDF Author: Christian Holscher
Publisher: Cambridge University Press
ISBN: 1139474251
Category : Medical
Languages : en
Pages :

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Book Description
Models and concepts of brain function have always been guided and limited by the available techniques and data. This book brings together a multitude of data from different backgrounds. It addresses questions such as: how do different brain areas interact in the process of channelling information? How do neuronal populations encode the information? How are networks formed and separated or associated with other networks? The authors present data at the single cell level both in vitro and in vivo, at the neuronal population level in vivo comparing field potentials (EEGs) in different brain areas, and also present data from spike recordings from identified neuronal populations during the performance of different tasks. Written for academic researchers and graduate students, the book strives to cover the range of single cell activity analysis to the observation of network activity, and finally to brain area activity and cognitive processes of the brain.

Advances in Neural Information Processing Systems 17

Advances in Neural Information Processing Systems 17 PDF Author: Lawrence K. Saul
Publisher: MIT Press
ISBN: 9780262195348
Category : Medical
Languages : en
Pages : 1710

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Book Description
Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.

An Introduction to Neural Information Processing

An Introduction to Neural Information Processing PDF Author: Peiji Liang
Publisher: Springer
ISBN: 9401773939
Category : Medical
Languages : en
Pages : 328

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Book Description
This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.

Neural Information Processing: Research and Development

Neural Information Processing: Research and Development PDF Author: Jagath Chandana Rajapakse
Publisher: Springer
ISBN: 3540399356
Category : Technology & Engineering
Languages : en
Pages : 478

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Book Description
The field of neural information processing has two main objects: investigation into the functioning of biological neural networks and use of artificial neural networks to sol ve real world problems. Even before the reincarnation of the field of artificial neural networks in mid nineteen eighties, researchers have attempted to explore the engineering of human brain function. After the reincarnation, we have seen an emergence of a large number of neural network models and their successful applications to solve real world problems. This volume presents a collection of recent research and developments in the field of neural information processing. The book is organized in three Parts, i.e., (1) architectures, (2) learning algorithms, and (3) applications. Artificial neural networks consist of simple processing elements called neurons, which are connected by weights. The number of neurons and how they are connected to each other defines the architecture of a particular neural network. Part 1 of the book has nine chapters, demonstrating some of recent neural network architectures derived either to mimic aspects of human brain function or applied in some real world problems. Muresan provides a simple neural network model, based on spiking neurons that make use of shunting inhibition, which is capable of resisting small scale changes of stimulus. Hoshino and Zheng simulate a neural network of the auditory cortex to investigate neural basis for encoding and perception of vowel sounds.

Neural Information Processing

Neural Information Processing PDF Author: Masumi Ishikawa
Publisher: Springer Science & Business Media
ISBN: 3540691545
Category : Computers
Languages : en
Pages : 1147

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Book Description
The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.

Cognitive Systems - Information Processing Meets Brain Science

Cognitive Systems - Information Processing Meets Brain Science PDF Author: Richard G.M. Morris
Publisher: Elsevier
ISBN: 0080458262
Category : Psychology
Languages : en
Pages : 310

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Book Description
Cognitive Systems - Information Processing Meets Brain Science presents an overview of the exciting, truly multidisciplinary research by neuroscientists and systems engineers in the emerging field of cognitive systems, providing a cross-disciplinary examination of this cutting-edge area of scientific research. This is a great example of where research in very different disciplines touches to create a new emerging area of research. The book illustrates some of the technical developments that could arise from our growing understanding of how living cognitive systems behave, and the ability to use that knowledge in the design of artificial systems. This unique book is of considerable interest to researchers and students in information science, neuroscience, psychology, engineering and adjacent fields. Represents a remarkable collection of relevant experts from both the life sciences and computer science Includes state-of-the-art reviews of topics in cognitive systems from both a life sciences and a computer science perspective Discusses the impact of this research on our lives in the near future

Neuronal Information Transfer

Neuronal Information Transfer PDF Author: Arthur Karlin
Publisher: Elsevier
ISBN: 0323148824
Category : Nature
Languages : en
Pages : 480

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Book Description
Neuronal Information Transfer contains the proceedings of the symposium on Neuronal Information Transfer, held in Columbia University in June 1977. The symposium focuses on the molecular, ultrastructural, and morphological study of a number of systems showing defined receptor-effector interactions. The collection of papers presented in the symposium provides insights into the understanding of nervous information transfer. The book includes findings and studies on the biogenic amine systems, cholinergic system, amino acid systems, and brain peptides and opiate system. Treatises that covered cyclic nucleotides and the neuronal structure and development are also presented. Neuroscientists, neurologists, researchers, educators, and students in neuroscience will benefit from this book.

Central Processing of Visual Information A: Integrative Functions and Comparative Data

Central Processing of Visual Information A: Integrative Functions and Comparative Data PDF Author: H. Autrum
Publisher: Springer Science & Business Media
ISBN: 3642653529
Category : Medical
Languages : en
Pages : 800

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Book Description
The present volume covers the physiology of the visual system beyond the optic nerve. It is a continuation of the two preceding parts on the photochemistry and the physiology of the eye, and forms a bridge from them to the fourth part on visual psychophysics. These fields have all developed as independent speciali ties and need integrating with each other. The processing of visual information in the brain cannot be understood without some knowledge of the preceding mechanisms in the photoreceptor organs. There are two fundamental reasons, ontogenetic and functional, why this is so: 1) the retina of the vertebrate eye has developed from a specialized part of the brain; 2) in processing their data the eyes follow physiological principles similar to the visual brain centres. Peripheral and central functions should also be discussed in context with their final synthesis in subjective experience, i. e. visual perception. Microphysiology and ultramicroscopy have brought new insights into the neuronal basis of vision. These investigations began in the periphery: HARTLINE'S pioneering experiments on single visual elements of Limulus in 1932 started a successful period of neuronal recordings which ascended from the retina to the highest centres in the visual brain. In the last two decades modern electron microscopic techniques and photochemical investigations of single photoreceptors further contributed to vision research.

Neural Information Processing with Dynamical Synapses

Neural Information Processing with Dynamical Synapses PDF Author: Si Wu
Publisher: Frontiers E-books
ISBN: 2889193837
Category :
Languages : en
Pages :

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Book Description