Self Organization Computational Maps And Motor Control

Author : P.G. Morasso
Publisher : Elsevier
ISBN 13 : 0080540910
Total Pages : 655 pages
Book Rating : 4.17/5 ( download)

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Download or read book Self-Organization, Computational Maps, and Motor Control written by P.G. Morasso and published by Elsevier. This book was released on 1997-03-19 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the study of the computational structure of biological/robotic sensorimotor systems, distributed models have gained center stage in recent years, with a range of issues including self-organization, non-linear dynamics, field computing etc. This multidisciplinary research area is addressed here by a multidisciplinary team of contributors, who provide a balanced set of articulated presentations which include reviews, computational models, simulation studies, psychophysical, and neurophysiological experiments. The book is divided into three parts, each characterized by a slightly different focus: in part I, the major theme concerns computational maps which typically model cortical areas, according to a view of the sensorimotor cortex as "geometric engine" and the site of "internal models" of external spaces. Part II also addresses problems of self-organization and field computing, but in a simpler computational architecture which, although lacking a specialized cortical machinery, can still behave in a very adaptive and surprising way by exploiting the interaction with the real world. Finally part III is focused on the motor control issues related to the physical properties of muscular actuators and the dynamic interactions with the world. The reader will find different approaches on controversial issues, such as the role and nature of force fields, the need for internal representations, the nature of invariant commands, the vexing question about coordinate transformations, the distinction between hierachiacal and bi-directional modelling, and the influence of muscle stiffness.

Author : Klaus Obermayer
Publisher : MIT Press
ISBN 13 : 9780262650601
Total Pages : 472 pages
Book Rating : 4.06/5 ( download)

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Download or read book Self-organizing Map Formation written by Klaus Obermayer and published by MIT Press. This book was released on 2001 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Yinong Chen
Publisher :
ISBN 13 :
Total Pages : 450 pages
Book Rating : 4.44/5 ( download)

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Download or read book A Motor Control Model Based on Self-organizing Feature Maps written by Yinong Chen and published by . This book was released on 1997 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organizing feature maps have become important neural modeling methods over the last several years. These methods have not only shown great potential in application fields such as motor control, pattern recognition, optimization, etc, but have also provided insights into how mammalian brains are organized. Most past work developing self-organizing features maps has focused on systems with a single map that is solely sensory in nature. This research develops and studies a model which has multiple self-organizing feature maps in a closed-loop control system, and that involves motor output as well as proprioceptive and/or visual sensory input. The model is driven by a simulated arm that moves in 3D space. By applying initial activations at randomly selected motor cortex regions, the neural network model spontaneously self-organizes, and demonstrates the appearance of multiple, reasonably stable motor and proprioceptive sensory maps and their interrelationships to each other. These cortical feature maps capture the mechanical constraints imposed by the model arm. They are aligned in a way consistent with a temporal correlation hypothesis: temporally correlated features usually cause their corresponding cortical map representations to be spatially correlated. Simulations of variations of the motor control model with visual inputs indicates the formation of visual input maps. These maps are also partiallyaligned with motor output maps, reflecting the degree of temporal correlations during training. The simultaneous presence of proprioceptive input causes the visual input maps to distinguish pairs of antagonist muscles and to be correlated with only one muscle in each pair. Moreover, some theoretical analysis with a simplified model gives insights into the nature of cortical feature maps and sheds light on the driving force behind map correlations. All of these results have provide more understanding about the organization of cortical feature maps, and how these maps might be used to achieve consistent motor commands based on sensory feedback.

Author : Helge Ritter
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 326 pages
Book Rating : 4.15/5 ( download)

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Download or read book Neural Computation and Self-organizing Maps written by Helge Ritter and published by Addison Wesley Publishing Company. This book was released on 1992 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Maria Marinaro
Publisher : Springer Science & Business Media
ISBN 13 : 1447108116
Total Pages : 389 pages
Book Rating : 4.15/5 ( download)

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Download or read book Neural Nets WIRN VIETRI-98 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found at Hippocampal Synapses and Neural Networks and Speech Processing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in Neural Computing Series.

Author : E. Oja
Publisher : Elsevier
ISBN 13 : 9780080535296
Total Pages : 400 pages
Book Rating : 4.91/5 ( download)

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Download or read book Kohonen Maps written by E. Oja and published by Elsevier. This book was released on 1999-07-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in the early 80's. Currently this method has been included in a large number of commercial and public domain software packages. In this book, top experts on the SOM method take a look at the state of the art and the future of this computing paradigm. The 30 chapters of this book cover the current status of SOM theory, such as connections of SOM to clustering, classification, probabilistic models, and energy functions. Many applications of the SOM are given, with data mining and exploratory data analysis the central topic, applied to large databases of financial data, medical data, free-form text documents, digital images, speech, and process measurements. Biological models related to the SOM are also discussed.

Author : Virginio Cantoni
Publisher : Springer Science & Business Media
ISBN 13 : 1461559650
Total Pages : 329 pages
Book Rating : 4.58/5 ( download)

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Download or read book Human and Machine Perception written by Virginio Cantoni and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: The following are th€:" proceedings of the Second International Workshop on Human and Machine Perception held in Trabia, Italy, on July 21~25, 1996, under the auspices of two Institutions: the Cybernetic and Biophysics Group (GNCB) of the Italian National Research Council (CNR) and the 'Centro Interdipartimentale di Tecnologie della Conoscenza' ofPalenno University. A broad spectrum of topics are covered in this series, ranging from computer perception to psychology and physiology of perception (visual, auditory, tactile, etc.). The theme of this workshop was: "Human and Machine Perception: Information Fusion". The goal of information and sensory data fusion is to integrate internal knowledge with complementary and/or redundant information from many sensors to achieve (and maintain) a better knowledge of the environment. The mechanism behind the integration of information is one of the most difficult challenges in understanding human and robot perception. The workshop consisted of a pilot phase of eight leCtures introducing perception sensorialities in nature and artificial systems, and of five subsequent modules each consisting of two lectures (dealing with solutions in nature and machines respectively) and a panel discussion.

Author : Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110670704
Total Pages : 131 pages
Book Rating : 4.07/5 ( download)

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Download or read book Quantum Machine Learning written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-08 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.

Author : Hiroshi Kimura
Publisher : Springer Science & Business Media
ISBN 13 : 4431313818
Total Pages : 298 pages
Book Rating : 4.16/5 ( download)

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Download or read book Adaptive Motion of Animals and Machines written by Hiroshi Kimura and published by Springer Science & Business Media. This book was released on 2006-07-28 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: • Motivation It is our dream to understand the principles of animals’ remarkable ability for adaptive motion and to transfer such abilities to a robot. Up to now, mechanisms for generation and control of stereotyped motions and adaptive motions in well-known simple environments have been formulated to some extentandsuccessfullyappliedtorobots.However,principlesofadaptationto variousenvironmentshavenotyetbeenclari?ed,andautonomousadaptation remains unsolved as a seriously di?cult problem in robotics. Apparently, the ability of animals and robots to adapt in a real world cannot be explained or realized by one single function in a control system and mechanism. That is, adaptation in motion is induced at every level from thecentralnervoussystemtothemusculoskeletalsystem.Thus,weorganized the International Symposium on Adaptive Motion in Animals and Machines(AMAM)forscientistsandengineersconcernedwithadaptation onvariouslevelstobebroughttogethertodiscussprinciplesateachleveland to investigate principles governing total systems. • History AMAM started in Montreal (Canada) in August 2000. It was organized by H. Kimura (Japan), H. Witte (Germany), G. Taga (Japan), and K. Osuka (Japan), who had agreed that having a small symposium on motion control, with people from several ?elds coming together to discuss speci?c issues, was worthwhile. Those four organizing committee members determined the scope of AMAM as follows.

Author : Holk Cruse
Publisher : Springer Science & Business Media
ISBN 13 : 9401008701
Total Pages : 1585 pages
Book Rating : 4.09/5 ( download)

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Download or read book Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic , Volume 1, Volume 2 Prerational Intelligence: Interdisciplinary Perspectives on the Behavior of Natural and Artificial Systems, Volume 3 written by Holk Cruse and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 1585 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book is the product of conferences held in Bielefeld at the Center for interdisciplinary Sturlies (ZiF) in connection with a year-long ZiF Research Group with the theme "Prerational intelligence". The premise ex plored by the research group is that traditional notions of intelligent behav ior, which form the basis for much work in artificial intelligence and cog nitive science, presuppose many basic capabilities which are not trivial, as more recent work in robotics and neuroscience has shown, and that these capabilities may be best understood as ernerging from interaction and coop eration in systems of simple agents, elements that accept inputs from and act upon their surroundings. The main focus is on the way animals and artificial systems process in formation about their surroundings in order to move and act adaptively. The analysis of the collective properties of systems of interacting agents, how ever, is a problern that occurs repeatedly in many disciplines. Therefore, contributions from a wide variety of areas have been included in order to obtain a broad overview of phenomena that demoostrate complexity arising from simple interactions or can be described as adaptive behavior arising from the collective action of groups of agents. To this end we have invited contributions on topics ranging from the development of complex structures and functions in systems ranging from cellular automata, genetic codes, and neural connectivity to social behavior and evolution. Additional contribu tions discuss traditional concepts of intelligence and adaptive behavior. 1.