Associative Neural Memories

Download Associative Neural Memories full books in PDF, epub, and Kindle. Read online Associative Neural Memories ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Artificial Neural Networks - ICANN 2008

Author : Věra Kůrková
Publisher : Springer Science & Business Media
ISBN 13 : 3540875581
Total Pages : 1012 pages
Book Rating : 4.5/5 (48 download)

DOWNLOAD NOW!

Book Synopsis Artificial Neural Networks - ICANN 2008 by : Věra Kůrková

Download or read book Artificial Neural Networks - ICANN 2008 written by Věra Kůrková and published by Springer Science & Business Media. This book was released on 2008 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is devoted to pattern recognition and data analysis, hardware and embedded systems, computational neuroscience, connectionistic cognitive science, neuroinformatics and neural dynamics. it also contains papers from two special sessions coupling, synchronies, and firing patterns: from cognition to disease, and constructive neural networks and two workshops new trends in self-organization and optimization of artificial neural networks, and adaptive mechanisms of the perception-action cycle.

Associative Neural Memories

Author : Mohamad H. Hassoun
Publisher :
ISBN 13 :
Total Pages : 384 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Associative Neural Memories by : Mohamad H. Hassoun

Download or read book Associative Neural Memories written by Mohamad H. Hassoun and published by . This book was released on 1993 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brings together significant works on associative neural memory theory (architecture, learning, analysis, and design) and hardware implementation (VLSI and opto-electronic) by leading international researchers. The volume is organized into an introductory chapter and four parts: biological and psychological connections, artificial associative neural memory models, analysis of memory dynamics and capacity, and implementation. Annotation copyright by Book News, Inc., Portland, OR

Parallel Models of Associative Memory

Author : Geoffrey E. Hinton
Publisher : Psychology Press
ISBN 13 : 1317785207
Total Pages : 378 pages
Book Rating : 4.3/5 (177 download)

DOWNLOAD NOW!

Book Synopsis Parallel Models of Associative Memory by : Geoffrey E. Hinton

Download or read book Parallel Models of Associative Memory written by Geoffrey E. Hinton and published by Psychology Press. This book was released on 2014-02-25 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.

Progress in Pattern Recognition, Image Analysis and Applications

Author : José Ruiz-Shulcloper
Publisher : Springer
ISBN 13 : 3540859209
Total Pages : 828 pages
Book Rating : 4.5/5 (48 download)

DOWNLOAD NOW!

Book Synopsis Progress in Pattern Recognition, Image Analysis and Applications by : José Ruiz-Shulcloper

Download or read book Progress in Pattern Recognition, Image Analysis and Applications written by José Ruiz-Shulcloper and published by Springer. This book was released on 2008-09-17 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, held in Havana, Cuba, in September 2008. The 93 revised full papers presented together with 3 keynote articles were carefully reviewed and selected from 182 submissions. The papers are organized in topical sections on signal analysis for characterization and filtering, analysis of shape and texture, analysis of speech and language, data mining, clustering of images and documents, statistical pattern recognition, classification and description of objects, classification and edition, geometric image analysis, neural networks, computer vision, image coding, associative memories and neural networks, interpolation and video tracking, images analysis, music and speech analysis, as well as classifier combination and document filtering.

Self-Organization and Associative Memory

Author : Teuvo Kohonen
Publisher : Springer
ISBN 13 : 3662007843
Total Pages : 325 pages
Book Rating : 4.6/5 (62 download)

DOWNLOAD NOW!

Book Synopsis Self-Organization and Associative Memory by : Teuvo Kohonen

Download or read book Self-Organization and Associative Memory written by Teuvo Kohonen and published by Springer. This book was released on 2012-12-06 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two significant things have happened since the writing of the first edition in 1983. One of them is recent arousal of strong interest in general aspects of "neural computing", or "neural networks", as the previous neural models are nowadays called. The incentive, of course, has been to develop new com puters. Especially it may have been felt that the so-called fifth-generation computers, based on conventional logic programming, do not yet contain in formation processing principles of the same type as those encountered in the brain. All new ideas for the "neural computers" are, of course, welcome. On the other hand, it is not very easy to see what kind of restrictions there exist to their implementation. In order to approach this problem systematically, cer tain lines of thought, disciplines, and criteria should be followed. It is the pur pose of the added Chapter 9 to reflect upon such problems from a general point of view. Another important thing is a boom of new hardware technologies for dis tributed associative memories, especially high-density semiconductor circuits, and optical materials and components. The era is very close when the parallel processors can be made all-optical. Several working associative memory archi tectures, based solely on optical technologies, have been constructed in recent years. For this reason it was felt necessary to include a separate chapter (Chap. 10) which deals with the optical associative memories. Part of its con tents is taken over from the first edition.

Associative Memory Cells: Basic Units of Memory Trace

Author : Jin-Hui Wang
Publisher : Springer Nature
ISBN 13 : 9811395012
Total Pages : 275 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Associative Memory Cells: Basic Units of Memory Trace by : Jin-Hui Wang

Download or read book Associative Memory Cells: Basic Units of Memory Trace written by Jin-Hui Wang and published by Springer Nature. This book was released on 2019-09-10 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on associative memory cells and their working principles, which can be applied to associative memories and memory-relevant cognitions. Providing comprehensive diagrams, it presents the author's personal perspectives on pathology and therapeutic strategies for memory deficits in patients suffering from neurological diseases and psychiatric disorders. Associative learning is a common approach to acquire multiple associated signals, including knowledge, experiences and skills from natural environments or social interaction. The identification of the cellular and molecular mechanisms underlying associative memory is important in furthering our understanding of the principles of memory formation and memory-relevant behaviors as well as in developing therapeutic strategies that enhance memory capacity in healthy individuals and improve memory deficit in patients suffering from neurological disease and psychiatric disorders. Although a series of hypotheses about neural substrates for associative memory has been proposed, numerous questions still need to be addressed, especially the basic units and their working principle in engrams and circuits specific for various memory patterns. This book summarizes the developments concerning associative memory cells reported in current and past literature, providing a valuable overview of the field for neuroscientists, psychologists and students.

Artificial Neural Nets and Genetic Algorithms

Author : Andrej Dobnikar
Publisher : Springer Science & Business Media
ISBN 13 : 9783211833643
Total Pages : 190 pages
Book Rating : 4.8/5 (336 download)

DOWNLOAD NOW!

Book Synopsis Artificial Neural Nets and Genetic Algorithms by : Andrej Dobnikar

Download or read book Artificial Neural Nets and Genetic Algorithms written by Andrej Dobnikar and published by Springer Science & Business Media. This book was released on 1999-07-15 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the contents: Neural networks – theory and applications: NNs (= neural networks) classifier on continuous data domains– quantum associative memory – a new class of neuron-like discrete filters to image processing – modular NNs for improving generalisation properties – presynaptic inhibition modelling for image processing application – NN recognition system for a curvature primal sketch – NN based nonlinear temporal-spatial noise rejection system – relaxation rate for improving Hopfield network – Oja's NN and influence of the learning gain on its dynamics Genetic algorithms – theory and applications: transposition: a biological-inspired mechanism to use with GAs (= genetic algorithms) – GA for decision tree induction – optimising decision classifications using GAs – scheduling tasks with intertask communication onto multiprocessors by GAs – design of robust networks with GA – effect of degenerate coding on GAs – multiple traffic signal control using a GA – evolving musical harmonisation – niched-penalty approach for constraint handling in GAs – GA with dynamic population size – GA with dynamic niche clustering for multimodal function optimisation Soft computing and uncertainty: self-adaptation of evolutionary constructed decision trees by information spreading – evolutionary programming of near optimal NNs

Neural Networks and Statistical Learning

Author : Ke-Lin Du
Publisher : Springer Science & Business Media
ISBN 13 : 1447155718
Total Pages : 834 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du

Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.

Consciousness Transitions

Author : Hans Liljenström
Publisher : Elsevier
ISBN 13 : 9780080554631
Total Pages : 348 pages
Book Rating : 4.5/5 (546 download)

DOWNLOAD NOW!

Book Synopsis Consciousness Transitions by : Hans Liljenström

Download or read book Consciousness Transitions written by Hans Liljenström and published by Elsevier. This book was released on 2011-10-13 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: It was not long ago when the consciousness was not considered a problem for science. However, this has now changed and the problem of consciousness is considered the greatest challenge to science. In the last decade, a great number of books and articles have been published in the field, but very few have focused on the how consciousness evolves and develops, and what characterizes the transitions between different conscious states, in animals and humans. This book addresses these questions. Renowned researchers from different fields of science (including neurobiology, evolutionary biology, ethology, cognitive science, computational neuroscience and philosophy) contribute with their results and theories in this book, making it a unique collection of the state-of-the-art of this young field of consciousness studies. First book on the topic Focus on different levels of consciousness, including: Evolutionary, developmental, and functional Highly interdisciplinary

Neural Networks

Author : Berndt Müller
Publisher : Springer Science & Business Media
ISBN 13 : 3642577601
Total Pages : 340 pages
Book Rating : 4.6/5 (425 download)

DOWNLOAD NOW!

Book Synopsis Neural Networks by : Berndt Müller

Download or read book Neural Networks written by Berndt Müller and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

Models of Neural Networks III

Author : Eytan Domany
Publisher : Springer Science & Business Media
ISBN 13 : 9780387943688
Total Pages : 336 pages
Book Rating : 4.9/5 (436 download)

DOWNLOAD NOW!

Book Synopsis Models of Neural Networks III by : Eytan Domany

Download or read book Models of Neural Networks III written by Eytan Domany and published by Springer Science & Business Media. This book was released on 1996 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a collection of articles by leading researchers in neural networks. This work focuses on data storage and retrieval, and the recognition of handwriting.

Neural Plasticity and Memory

Author : Federico Bermudez-Rattoni
Publisher : CRC Press
ISBN 13 : 1420008412
Total Pages : 368 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Neural Plasticity and Memory by : Federico Bermudez-Rattoni

Download or read book Neural Plasticity and Memory written by Federico Bermudez-Rattoni and published by CRC Press. This book was released on 2007-04-17 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, multidisciplinary review, Neural Plasticity and Memory: From Genes to Brain Imaging provides an in-depth, up-to-date analysis of the study of the neurobiology of memory. Leading specialists share their scientific experience in the field, covering a wide range of topics where molecular, genetic, behavioral, and brain imaging techniq

An Introduction to Neural Networks

Author : Kevin Gurney
Publisher : CRC Press
ISBN 13 : 1482286998
Total Pages : 234 pages
Book Rating : 4.4/5 (822 download)

DOWNLOAD NOW!

Book Synopsis An Introduction to Neural Networks by : Kevin Gurney

Download or read book An Introduction to Neural Networks written by Kevin Gurney and published by CRC Press. This book was released on 2018-10-08 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.

Sparse Distributed Memory

Author : Pentti Kanerva
Publisher : MIT Press
ISBN 13 : 9780262111324
Total Pages : 194 pages
Book Rating : 4.1/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Sparse Distributed Memory by : Pentti Kanerva

Download or read book Sparse Distributed Memory written by Pentti Kanerva and published by MIT Press. This book was released on 1988 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motivated by the remarkable fluidity of memory the way in which items are pulled spontaneously and effortlessly from our memory by vague similarities to what is currently occupying our attention "Sparse Distributed Memory "presents a mathematically elegant theory of human long term memory.The book, which is self contained, begins with background material from mathematics, computers, and neurophysiology; this is followed by a step by step development of the memory model. The concluding chapter describes an autonomous system that builds from experience an internal model of the world and bases its operation on that internal model. Close attention is paid to the engineering of the memory, including comparisons to ordinary computer memories."Sparse Distributed Memory "provides an overall perspective on neural systems. The model it describes can aid in understanding human memory and learning, and a system based on it sheds light on outstanding problems in philosophy and artificial intelligence. Applications of the memory are expected to be found in the creation of adaptive systems for signal processing, speech, vision, motor control, and (in general) robots. Perhaps the most exciting aspect of the memory, in its implications for research in neural networks, is that its realization with neuronlike components resembles the cortex of the cerebellum.Pentti Kanerva is a scientist at the Research Institute for Advanced Computer Science at the NASA Ames Research Center and a visiting scholar at the Stanford Center for the Study of Language and Information. A Bradford Book.

Discovering the Brain

Author : National Academy of Sciences
Publisher : National Academies Press
ISBN 13 : 0309045290
Total Pages : 195 pages
Book Rating : 4.3/5 (9 download)

DOWNLOAD NOW!

Book Synopsis Discovering the Brain by : National Academy of Sciences

Download or read book Discovering the Brain written by National Academy of Sciences and published by National Academies Press. This book was released on 1992-01-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brain ... There is no other part of the human anatomy that is so intriguing. How does it develop and function and why does it sometimes, tragically, degenerate? The answers are complex. In Discovering the Brain, science writer Sandra Ackerman cuts through the complexity to bring this vital topic to the public. The 1990s were declared the "Decade of the Brain" by former President Bush, and the neuroscience community responded with a host of new investigations and conferences. Discovering the Brain is based on the Institute of Medicine conference, Decade of the Brain: Frontiers in Neuroscience and Brain Research. Discovering the Brain is a "field guide" to the brainâ€"an easy-to-read discussion of the brain's physical structure and where functions such as language and music appreciation lie. Ackerman examines: How electrical and chemical signals are conveyed in the brain. The mechanisms by which we see, hear, think, and pay attentionâ€"and how a "gut feeling" actually originates in the brain. Learning and memory retention, including parallels to computer memory and what they might tell us about our own mental capacity. Development of the brain throughout the life span, with a look at the aging brain. Ackerman provides an enlightening chapter on the connection between the brain's physical condition and various mental disorders and notes what progress can realistically be made toward the prevention and treatment of stroke and other ailments. Finally, she explores the potential for major advances during the "Decade of the Brain," with a look at medical imaging techniquesâ€"what various technologies can and cannot tell usâ€"and how the public and private sectors can contribute to continued advances in neuroscience. This highly readable volume will provide the public and policymakersâ€"and many scientists as wellâ€"with a helpful guide to understanding the many discoveries that are sure to be announced throughout the "Decade of the Brain."

Associative Memory

Author : T. Kohonen
Publisher : Springer Science & Business Media
ISBN 13 : 3642963846
Total Pages : 188 pages
Book Rating : 4.6/5 (429 download)

DOWNLOAD NOW!

Book Synopsis Associative Memory by : T. Kohonen

Download or read book Associative Memory written by T. Kohonen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Scope of This Text This book contains two types of material ~ first, the many divergent and often diffuse meanings given to the concepts of association, associative memory, and associative recaZZ are expounded. A review of this kind was felt necessary because there apparently does not exist any single monograph which could serve as a reference to these topics. But the presentation of the main body of this text is motivated by quite other reasons: in recent years, plenty of interesting mathematical and system-theoretical material has been published which makes it possible to gain a view of associative memory which is different from the conventional abstract and computationally oriented approaches. It seems that the basic operation of associative memory, the storage of information together with the relations or links between the data items, and the selective recall of stored information relative to a piece of key or cue information presented, is not restricted to certain computer-technological implementations but can also be reflected in more general mathematically describable processes in certain physical or other systems, especially in their adaptive state changes. It further seems that some generally known forms of associative memory, namely, certain computer technological artifacts, or abstract systems of concepts or data, are in fact special representations of a class of processes characterized as associative memory.

Parallel Models of Associative Memory

Author : Geoffrey E. Hinton
Publisher : Psychology Press
ISBN 13 : 1317785215
Total Pages : 350 pages
Book Rating : 4.3/5 (177 download)

DOWNLOAD NOW!

Book Synopsis Parallel Models of Associative Memory by : Geoffrey E. Hinton

Download or read book Parallel Models of Associative Memory written by Geoffrey E. Hinton and published by Psychology Press. This book was released on 2014-02-25 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.