Self Organization And Associative Memory

Author : Teuvo Kohonen
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 51,8 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9783642881633

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Self-Organization and Associative Memory by Teuvo Kohonen Pdf

While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Information Sciences (IS 8), the book actually stems from Vol. 17 of the series Communication and Cybernetics (CC 17), entitled Associative Memory - A System-Theoretical Approach, which appeared in 1977. That book was the first monograph on distributed associative memories, or "content-addressable memories" as they are frequently called, especially in neural-networks research. This author, however, would like to reserve the term "content-addressable memory" for certain more traditional constructs, the memory locations of which are selected by parallel search. Such devices are discussed in Vol. 1 of the Springer Series in Information Sciences, Content-Addressable Memories. This third edition of IS 8 is rather similar to the second one. Two new discussions have been added: one to the end of Chap. 5, and the other (the L VQ 2 algorithm) to the end of Chap. 7. Moreover, the convergence proof in Sect. 5.7.2 has been revised.

Author : Teuvo Kohonen
Publisher : Springer Science & Business Media
Page : 255 pages
File Size : 53,7 Mb
Release : 1984
Category : Associative storage
ISBN : 354012165X

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Self-organization and Associative Memory by Teuvo Kohonen Pdf

Author : Teuvo Kohonen
Publisher : Springer Science & Business Media
Page : 514 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642569272

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Self-Organizing Maps by Teuvo Kohonen Pdf

The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the open literature, and many industrial projects use the SOM as a tool for solving hard real world problems. Many fields of science have adopted the SOM as a standard analytical tool: statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. This new edition includes a survey of over 2000 contemporary studies to cover the newest results. Case examples are provided with detailed formulae, illustrations, and tables. Further, a new chapter on software tools for SOM has been included whilst other chapters have been extended and reorganised.

Author : Geoffrey E. Hinton,James A. Anderson
Publisher : Psychology Press
Page : 350 pages
File Size : 54,6 Mb
Release : 2014-02-25
Category : Psychology
ISBN : 9781317785217

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Parallel Models of Associative Memory by Geoffrey E. Hinton,James A. Anderson Pdf

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.

Author : Gail A. Carpenter,Stephen Grossberg
Publisher : MIT Press
Page : 724 pages
File Size : 50,7 Mb
Release : 1991
Category : Computers
ISBN : 0262031760

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Pattern Recognition by Self-organizing Neural Networks by Gail A. Carpenter,Stephen Grossberg Pdf

Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields ofcognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19articles take up developments in competitive learning and computational maps, adaptive resonancetheory, and specialized architectures and biological connections. Introductorysurvey articles provide a framework for understanding the many models involved in various approachesto studying neural networks. These are followed in Part 2 by articles that form the foundation formodels of competitive learning and computational mapping, and recent articles by Kohonen, applyingthem to problems in speech recognition, and by Hecht-Nielsen, applying them to problems in designingadaptive lookup tables. Articles in Part 3 focus on adaptive resonance theory (ART) networks,selforganizing pattern recognition systems whose top-down template feedback signals guarantee theirstable learning in response to arbitrary sequences of input patterns. In Part 4, articles describeembedding ART modules into larger architectures and provide experimental evidence fromneurophysiology, event-related potentials, and psychology that support the prediction that ARTmechanisms exist in the brain. Contributors: J.-P. Banquet, G.A. Carpenter, S.Grossberg, R. Hecht-Nielsen, T. Kohonen, B. Kosko, T.W. Ryan, N.A. Schmajuk, W. Singer, D. Stork, C.von der Malsburg, C.L. Winter.

Author : Mikhail A. Vorontsov,Walter B. Miller
Publisher : Springer Science & Business Media
Page : 258 pages
File Size : 50,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642975257

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Self-Organization in Optical Systems and Applications in Information Technology by Mikhail A. Vorontsov,Walter B. Miller Pdf

Contrary to monographs on non-linear optics this book concentrates on problems of self-organization in various important contexts. The reader learns how patterns in non-linear optical systems are created and what theoretical methods can be applied to describe them. Next, various aspects of pattern formation such as associative memory, information processing, spatio-temporal instability, photo refraction, and so on are treated. The book addresses graduate students and researchers in physics and optical engineering.

Author : Haibo He
Publisher : John Wiley & Sons
Page : 189 pages
File Size : 51,7 Mb
Release : 2011-09-15
Category : Computers
ISBN : 9781118025598

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Self-Adaptive Systems for Machine Intelligence by Haibo He Pdf

This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.

Author : Karl H. Pribram
Publisher : Psychology Press
Page : 617 pages
File Size : 44,9 Mb
Release : 2013-06-17
Category : Psychology
ISBN : 9781134997015

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Learning As Self-organization by Karl H. Pribram Pdf

A year before his death, B.F. Skinner wrote that "There are two unavoidable gaps in any behavioral account: one between the stimulating action of the environment and the response of the organism and one between consequences and the resulting change in behavior. Only brain science can fill those gaps. In doing so, it completes the account; it does not give a different account of the same thing." This declaration ended the epoch of radical behaviorism to the extent that it was based on the doctrine of the "empty organism," the doctrine that a behavioral science must be constructed purely on its own level of investigation. However, Skinner was not completely correct in his assessment. Brain science on its own can no more fill the gaps than can single level behavioral science. It is the relation between data and formulations developed in the brain and the behavioral sciences that is needed. This volume is the result of The Fourth Appalachian Conference on Behavioral Neurodynamics, the first three of which were aimed at filling Skinner's first gap. Taking the series in a new direction, the aim of the fourth and subsequent conferences is to explore the second of the gaps in the behavioral account noted by Skinner. The aim of this conference was to explore the aphorism: The motivation for learning is self organization. In keeping with this aim and in the spirit of previous events, this conference's mission was to acquaint scientists working in one discipline with the work going on in other disciplines that is relevant to both. As a result, it brought together those who are making advances on the behavioral level -- mainly working in the tradition of operant conditioning -- and those working with brains -- mainly amygdala, hippocampus, and far frontal cortex.

Author : Henri Atlan
Publisher : Fordham Univ Press
Page : 481 pages
File Size : 41,5 Mb
Release : 2011
Category : Medical
ISBN : 9780823231812

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Selected Writings on Self-organization, Philosophy, Bioethics, and Judaism by Henri Atlan Pdf

During the last thirty years, biophysicist and philosopher Henri Atlan has been a major voice in contemporary European philosophical and bio-ethical debates. In a massive oeuvre that ranges from biology and neural network theory to Spinoza's thought and the history of philosophy, and from artificial intelligence and information theory to Jewish mysticism and to contemporary medical ethics, Atlan has come to offer an exceptionally powerful philosophical argumentation that is as hostile to scientism as it is attentive to biology's conceptual and experimental rigor, as careful with concepts of rationality as it is committed to rethinking the human place in a radically determined yet forever changing world. --Book Jacket.

Author : T. Kohonen
Publisher : Springer Science & Business Media
Page : 188 pages
File Size : 43,7 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642963841

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Associative Memory by T. Kohonen Pdf

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.

Author : Ali H. Sayed
Publisher : Cambridge University Press
Page : 1082 pages
File Size : 40,8 Mb
Release : 2022-12-22
Category : Technology & Engineering
ISBN : 9781009218306

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Inference and Learning from Data: Volume 3 by Ali H. Sayed Pdf

This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This final volume, Learning, builds on the foundational topics established in volume I to provide a thorough introduction to learning methods, addressing techniques such as least-squares methods, regularization, online learning, kernel methods, feedforward and recurrent neural networks, meta-learning, and adversarial attacks. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including complete solutions for instructors), 280 figures, 100 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Foundations and Inference, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, data and inference.

Author : David S. Touretzky,Michael C. Mozer,Michael E. Hasselmo
Publisher : MIT Press
Page : 1128 pages
File Size : 54,5 Mb
Release : 1996
Category : Computers
ISBN : 0262201070

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Advances in Neural Information Processing Systems 8 by David S. Touretzky,Michael C. Mozer,Michael E. Hasselmo Pdf

The past decade has seen greatly increased interaction between theoretical work in neuroscience, cognitive science and information processing, and experimental work requiring sophisticated computational modeling. The 152 contributions in NIPS 8 focus on a wide variety of algorithms and architectures for both supervised and unsupervised learning. They are divided into nine parts: Cognitive Science, Neuroscience, Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Vision, Applications, and Control. Chapters describe how neuroscientists and cognitive scientists use computational models of neural systems to test hypotheses and generate predictions to guide their work. This work includes models of how networks in the owl brainstem could be trained for complex localization function, how cellular activity may underlie rat navigation, how cholinergic modulation may regulate cortical reorganization, and how damage to parietal cortex may result in neglect. Additional work concerns development of theoretical techniques important for understanding the dynamics of neural systems, including formation of cortical maps, analysis of recurrent networks, and analysis of self- supervised learning. Chapters also describe how engineers and computer scientists have approached problems of pattern recognition or speech recognition using computational architectures inspired by the interaction of populations of neurons within the brain. Examples are new neural network models that have been applied to classical problems, including handwritten character recognition and object recognition, and exciting new work that focuses on building electronic hardware modeled after neural systems. A Bradford Book

Author : Teuvo Kohonen
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 51,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642976100

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Self-Organizing Maps by Teuvo Kohonen Pdf

The book we have at hand is the fourth monograph I wrote for Springer Verlag. The previous one named "Self-Organization and Associative Mem ory" (Springer Series in Information Sciences, Volume 8) came out in 1984. Since then the self-organizing neural-network algorithms called SOM and LVQ have become very popular, as can be seen from the many works re viewed in Chap. 9. The new results obtained in the past ten years or so have warranted a new monograph. Over these years I have also answered lots of questions; they have influenced the contents of the present book. I hope it would be of some interest and help to the readers if I now first very briefly describe the various phases that led to my present SOM research, and the reasons underlying each new step. I became interested in neural networks around 1960, but could not in terrupt my graduate studies in physics. After I was appointed Professor of Electronics in 1965, it still took some years to organize teaching at the uni versity. In 1968 - 69 I was on leave at the University of Washington, and D. Gabor had just published his convolution-correlation model of autoasso ciative memory. I noticed immediately that there was something not quite right about it: the capacity was very poor and the inherent noise and crosstalk were intolerable. In 1970 I therefore sugge~ted the auto associative correlation matrix memory model, at the same time as J.A. Anderson and K. Nakano.

Author : Klaus Obermayer,Terrence Joseph Sejnowski
Publisher : MIT Press
Page : 472 pages
File Size : 41,6 Mb
Release : 2001
Category : Neural computers
ISBN : 0262650606

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Self-organizing Map Formation by Klaus Obermayer,Terrence Joseph Sejnowski Pdf

This book provides an overview of self-organizing map formation, including recent developments. Self-organizing maps form a branch of unsupervised learning, which is the study of what can be determined about the statistical properties of input data without explicit feedback from a teacher. The articles are drawn from the journal Neural Computation.The book consists of five sections. The first section looks at attempts to model the organization of cortical maps and at the theory and applications of the related artificial neural network algorithms. The second section analyzes topographic maps and their formation via objective functions. The third section discusses cortical maps of stimulus features. The fourth section discusses self-organizing maps for unsupervised data analysis. The fifth section discusses extensions of self-organizing maps, including two surprising applications of mapping algorithms to standard computer science problems: combinatorial optimization and sorting. Contributors J. J. Atick, H. G. Barrow, H. U. Bauer, C. M. Bishop, H. J. Bray, J. Bruske, J. M. L. Budd, M. Budinich, V. Cherkassky, J. Cowan, R. Durbin, E. Erwin, G. J. Goodhill, T. Graepel, D. Grier, S. Kaski, T. Kohonen, H. Lappalainen, Z. Li, J. Lin, R. Linsker, S. P. Luttrell, D. J. C. MacKay, K. D. Miller, G. Mitchison, F. Mulier, K. Obermayer, C. Piepenbrock, H. Ritter, K. Schulten, T. J. Sejnowski, S. Smirnakis, G. Sommer, M. Svensen, R. Szeliski, A. Utsugi, C. K. I. Williams, L. Wiskott, L. Xu, A. Yuille, J. Zhang

Author : Mohamad H. Hassoun
Publisher : MIT Press
Page : 546 pages
File Size : 45,6 Mb
Release : 1995
Category : Computers
ISBN : 026208239X

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Fundamentals of Artificial Neural Networks by Mohamad H. Hassoun Pdf

A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.