Emergent Neural Computational Architectures Based On Neuroscience

Author : Stefan Wermter,Jim Austin,David Willshaw
Publisher : Springer
Page : 582 pages
File Size : 47,7 Mb
Release : 2003-05-15
Category : Computers
ISBN : 9783540445975

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Emergent Neural Computational Architectures Based on Neuroscience by Stefan Wermter,Jim Austin,David Willshaw Pdf

It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.

Author : Stefan Wermter,Jim Austin,David Willshaw
Publisher : Springer
Page : 582 pages
File Size : 47,6 Mb
Release : 2001-07-25
Category : Computers
ISBN : 354042363X

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Emergent Neural Computational Architectures Based on Neuroscience by Stefan Wermter,Jim Austin,David Willshaw Pdf

It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.

Author : Stefan Wermter,Jim Austin,David Willshaw
Publisher : Unknown
Page : 592 pages
File Size : 41,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662186748

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Emergent Neural Computational Architectures Based on Neuroscience by Stefan Wermter,Jim Austin,David Willshaw Pdf

Author : Cristina Savin,Matthieu Gilson,Friedemann Zenke
Publisher : Frontiers Media SA
Page : 195 pages
File Size : 46,5 Mb
Release : 2016-03-22
Category : Computational neuroscience
ISBN : 9782889197880

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Emergent neural computation from the interaction of different forms of plasticity by Cristina Savin,Matthieu Gilson,Friedemann Zenke Pdf

From the propagation of neural activity through synapses, to the integration of signals in the dendritic arbor, and the processes determining action potential generation, virtually all aspects of neural processing are plastic. This plasticity underlies the remarkable versatility and robustness of cortical circuits: it enables the brain to learn regularities in its sensory inputs, to remember the past, and to recover function after injury. While much of the research into learning and memory has focused on forms of Hebbian plasticity at excitatory synapses (LTD/LTP, STDP), several other plasticity mechanisms have been characterized experimentally, including the plasticity of inhibitory circuits (Kullmann, 2012), synaptic scaling (Turrigiano, 2011) and intrinsic plasticity (Zhang and Linden, 2003). However, our current understanding of the computational roles of these plasticity mechanisms remains rudimentary at best. While traditionally they are assumed to serve a homeostatic purpose, counterbalancing the destabilizing effects of Hebbian learning, recent work suggests that they can have a profound impact on circuit function (Savin 2010, Vogels 2011, Keck 2012). Hence, theoretical investigation into the functional implications of these mechanisms may shed new light on the computational principles at work in neural circuits. This Research Topic of Frontiers in Computational Neuroscience aims to bring together recent advances in theoretical modeling of different plasticity mechanisms and of their contributions to circuit function. Topics of interest include the computational roles of plasticity of inhibitory circuitry, metaplasticity, synaptic scaling, intrinsic plasticity, plasticity within the dendritic arbor and in particular studies on the interplay between homeostatic and Hebbian plasticity, and their joint contribution to network function.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 48,6 Mb
Release : 2024-06-28
Category : Electronic
ISBN : 9789814480413

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Modeling Language, Cognition and Action by Anonim Pdf

Author : Johanna D. Moore,Keith Stenning
Publisher : Psychology Press
Page : 1204 pages
File Size : 45,6 Mb
Release : 2001
Category : Philosophy
ISBN : 0805841520

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Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society by Johanna D. Moore,Keith Stenning Pdf

Vol. includes all papers and posters presented at 2001 Cog Sci Mtg & summaries of symposia & invited addresses. Deals w/ issues of repres & model'g cog processes. Appeals to scholars in subdisciplines that comprise Cog Sci: Psych, Computr Sci, Neuro, Lin

Author : Mark Girolami
Publisher : Springer Science & Business Media
Page : 286 pages
File Size : 50,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447104438

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Advances in Independent Component Analysis by Mark Girolami Pdf

Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the significant developments of the past year. It covers topics such as the use of hidden Markov methods, the independence assumption, and topographic ICA, and includes tutorial chapters on Bayesian and variational approaches. It also provides the latest approaches to ICA problems, including an investigation into certain "hard problems" for the very first time. Comprising contributions from the most respected and innovative researchers in the field, this volume will be of interest to students and researchers in computer science and electrical engineering; research and development personnel in disciplines such as statistical modelling and data analysis; bio-informatic workers; and physicists and chemists requiring novel data analysis methods.

Author : Alessandro Villa,Wlodzislaw Duch,Peter Erdi,Francesco Masulli,Günther Palm
Publisher : Springer
Page : 763 pages
File Size : 52,5 Mb
Release : 2012-09-19
Category : Computers
ISBN : 9783642332692

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Artificial Neural Networks and Machine Learning -- ICANN 2012 by Alessandro Villa,Wlodzislaw Duch,Peter Erdi,Francesco Masulli,Günther Palm Pdf

The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.

Author : Edmund T. Rolls
Publisher : Oxford University Press
Page : 1000 pages
File Size : 42,8 Mb
Release : 2018-01-26
Category : Science
ISBN : 9780191087745

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Cerebral Cortex by Edmund T. Rolls Pdf

The aim of this book is to provide insight into the principles of operation of the cerebral cortex. These principles are key to understanding how we, as humans, function. There have been few previous attempts to set out some of the important principles of operation of the cortex, and this book is pioneering. The book goes beyond separate connectional neuroanatomical, neurophysiological, neuroimaging, neuropsychiatric, and computational neuroscience approaches, by combining evidence from all these areas to formulate hypotheses about how and what the cerebral cortex computes. As clear hypotheses are needed in this most important area of 21st century science, how our brains work, I have formulated a set of hypotheses about the principles of cortical operation to guide thinking and future research. The book focusses on the principles of operation of the cerebral cortex, because at this time it is possible to propose and describe many principles, and many are likely to stand the test of time, and provide a foundation for further developments, even if some need to be changed. In this context, I have not attempted to produce an overall theory of operation of the cerebral cortex, because at this stage of our understanding, such a theory would be incorrect or incomplete. However, many of the principles described will provide the foundations for more complete theories of the operation of the cerebral cortex. This book is intended to provide a foundation for future understanding, and it is hoped that future work will develop and add to these principles of operation of the cerebral cortex. The book includes Appendices on the operation of many of the neuronal networks described in the book, together with simulation software written in Matlab.

Author : Okyay Kaynak,Ethem Alpaydin,Erkki Oja,Lei Xu
Publisher : Springer
Page : 1194 pages
File Size : 55,7 Mb
Release : 2003-08-03
Category : Computers
ISBN : 9783540449898

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Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 by Okyay Kaynak,Ethem Alpaydin,Erkki Oja,Lei Xu Pdf

The refereed proceedings of the Joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003. The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.

Author : D.C. Wunsch II,M. Hasselmo,K. Venayagamoorthy,D. Wang
Publisher : Elsevier
Page : 438 pages
File Size : 42,9 Mb
Release : 2003-08-22
Category : Computers
ISBN : 0080443206

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Advances in Neural Networks Research by D.C. Wunsch II,M. Hasselmo,K. Venayagamoorthy,D. Wang Pdf

IJCNN is the flagship conference of the INNS, as well as the IEEE Neural Networks Society. It has arguably been the preeminent conference in the field, even as neural network conferences have proliferated and specialized. As the number of conferences has grown, its strongest competition has migrated away from an emphasis on neural networks. IJCNN has embraced the proliferation of spin-off and related fields (see the topic list, below), while maintaining a core emphasis befitting its name. It has also succeeded in enforcing an emphasis on quality.

Author : Stefan Wermter,Günther Palm,Mark Elshaw
Publisher : Springer
Page : 383 pages
File Size : 40,9 Mb
Release : 2005-08-25
Category : Technology & Engineering
ISBN : 9783540318965

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Biomimetic Neural Learning for Intelligent Robots by Stefan Wermter,Günther Palm,Mark Elshaw Pdf

This state-of-the-art survey contains selected papers contributed by researchers in intelligent systems, cognitive robotics, and neuroscience including contributions from the MirrorBot project and from the NeuroBotics Workshop 2004. The research work presented demonstrates significant novel developments in biologically inspired neural models for use in intelligent robot environments and biomimetic cognitive behavior.

Author : Jose Mira,Alberto Prieto
Publisher : Springer
Page : 875 pages
File Size : 53,7 Mb
Release : 2003-06-29
Category : Computers
ISBN : 9783540457237

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Bio-Inspired Applications of Connectionism by Jose Mira,Alberto Prieto Pdf

Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:“Whatdoesneurosciencebringintocomputation(thenew bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “arti?cial neural nets”, “genetic algorithms”, “evolutionary hardware”, “evolutive architectures”, “embryonics”, “sensory n- romorphic systems”, and “emotional robotics” are representatives of the present interest in “biological electronics” (bionics). Thesecondquestionis:“Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.

Author : James E. Smith
Publisher : Morgan & Claypool Publishers
Page : 245 pages
File Size : 53,5 Mb
Release : 2017-05-18
Category : Computers
ISBN : 9781627058902

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Space-Time Computing with Temporal Neural Networks by James E. Smith Pdf

Understanding and implementing the brain's computational paradigm is the one true grand challenge facing computer researchers. Not only are the brain's computational capabilities far beyond those of conventional computers, its energy efficiency is truly remarkable. This book, written from the perspective of a computer designer and targeted at computer researchers, is intended to give both background and lay out a course of action for studying the brain's computational paradigm. It contains a mix of concepts and ideas drawn from computational neuroscience, combined with those of the author. As background, relevant biological features are described in terms of their computational and communication properties. The brain's neocortex is constructed of massively interconnected neurons that compute and communicate via voltage spikes, and a strong argument can be made that precise spike timing is an essential element of the paradigm. Drawing from the biological features, a mathematics-based computational paradigm is constructed. The key feature is spiking neurons that perform communication and processing in space-time, with emphasis on time. In these paradigms, time is used as a freely available resource for both communication and computation. Neuron models are first discussed in general, and one is chosen for detailed development. Using the model, single-neuron computation is first explored. Neuron inputs are encoded as spike patterns, and the neuron is trained to identify input pattern similarities. Individual neurons are building blocks for constructing larger ensembles, referred to as "columns". These columns are trained in an unsupervised manner and operate collectively to perform the basic cognitive function of pattern clustering. Similar input patterns are mapped to a much smaller set of similar output patterns, thereby dividing the input patterns into identifiable clusters. Larger cognitive systems are formed by combining columns into a hierarchical architecture. These higher level architectures are the subject of ongoing study, and progress to date is described in detail in later chapters. Simulation plays a major role in model development, and the simulation infrastructure developed by the author is described.

Author : Marius Crisan
Publisher : BoD – Books on Demand
Page : 440 pages
File Size : 47,6 Mb
Release : 2010-03-01
Category : Computers
ISBN : 9789533070681

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Convergence and Hybrid Information Technologies by Marius Crisan Pdf

Starting a journey on the new path of converging information technologies is the aim of the present book. Extended on 27 chapters, the book provides the reader with some leading-edge research results regarding algorithms and information models, software frameworks, multimedia, information security, communication networks, and applications. Information technologies are only at the dawn of a massive transformation and adaptation to the complex demands of the new upcoming information society. It is not possible to achieve a thorough view of the field in one book. Nonetheless, the editor hopes that the book can at least offer the first step into the convergence domain of information technologies, and the reader will find it instructive and stimulating.