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International Symposium on Neural Networks for Sensory and Motor Systems (1990 : Neuss, Germany)
1 online resource (x, 453 pages) : illustrations
This book is the outcome of the International Symposium on Neural Networks for Sensory and Motor Systems (NSMS) held in March 1990 in the FRG. The NSMS symposium assembled 45 invited experts from Europe, America and Japan representing the fields of Neuroinformatics, Computer Science, Computational Neuroscience, and Neuroscience.
Front Cover; Advanced Neural Computers; Copyright Page; PREFACE; ACKNOWLEDGEMENT OF SPONSORSHIP; Table of Contents; Section 1: General Introduction; Chapter 1. Prolegomena to an Analysis of Form and Structure; I. INTRODUCTION; II. Preliminary Remarks; Ill. Information as Kullback-Leibler Entroou; References; Chapter 2. The Truck Backer-Upper: An Example of Self-Learning in Neural Networks; 1 Introduction; 2 Training; 3 Summary and Results; References; Chapter 3. DIE LERNMATRIX -- THE BEGINNING OF ASSOCIATIVE MEMORIES; 1. INTRODUCTION; 2. BINARY LEARNING MATRIX; 3. NON-BINARY LEARNING MATRIX
4. CIRCUITS WITH SEVERAL LEARNING MATRICES5. APPLICATIONS; References; Section 2: Biological Sensory and Motor Systems; Chapter 4. MODEL OF VISUO-MOTOR TRANSFORMATIONS PERFORMED BY THE CEREBRAL CORTEX TO COMMAND ARM MOVEMENTS AT VISUAL TARGETS IN THE 3-D SPACE; I. BIOLOGICAL CONSTRAINTS; II. INVARIANT PROPERTIES OF MOTOR CORTICAL NEURONS; III. SENSORIMOTOR COMBINATIONS IN CORTICAL AREAS; IV. PROCESSING UNITS: MODEL OF THE CORTICAL COLUMN; V. CORTICAL REPRESENTATIONS OF MUSCLES AND 3-D SPACE; VI. MOVEMENT DEPENDENT MATCHING OF SENSORY INPUTS; VII. GENERALIZATION OF LEARNING
VIII. PREDICTIONS OF THE MODEL : INVARIANT PROPERTIESChapter 5. NEURAL NETWORK MODELS OF THE PRIMATE MOTOR SYSTEM; 1. INTRODUCTON: PHYSIOLOGICAL NETWORKS; 2. DYNAMIC NETWORK MODELS; 3. MANIPULATON OF HIDDEN UNITS; 4. CONCLUDING COMMENTS; ACKNOWLEDGEMENTS; REFERENCES; Chapter 6. Neural Representation of Motor Synergies; 1. Introduction; 2. Motor Relaxation and Hopfield Networks; 3. Behaviour of the Network; 4. Simulation Results; References; Acknowledgments; Appendix: M-net of the finger; Chapter 7. Vestibular Head- Eye Coordination: a Geometrical Sensorimotor Neurocomputer Paradigm
1. Introduction2. Vestlbulo-Cerebellar Coordination as a Sensorlnrwtor Neurocomputing Paradigm; 3. Skeletomuscular Systems' Modeling: Btomechanics of Intrinsk: Coordinates; 4. Development of Neural Network Theory & Experimentation; 5. Advanced Experimental Paradigms: Linear Vestibulo-Ocular Reflex; Gaussian Testing; 6. References; Chapter 8. THE REPRESENTATION OF INFORMATION IN THE TEMPORAL LOBE VISUAL CORTICAL AREAS OF MACAQUES; Ensemble encoding of object identity; The development of specificity of the neuronal responses; A Neuronal Representation Showing Invariance
An Object-Centered Representation of Visual InformationThe functions of backprojections in neuronal networks in the neocortex in the storage and recall of visual memories; REFERENCES; Chapter 9. Exploration of a natural environment; 1 Introduction; 2 The system architecure; 3 Modules of the exploration system; 4 Conclusion; References; Chapter 10. MODELING VISUAL CORTEX: HIDDEN ANISOTROPIES IN AN ISOTROPIC INHIBITORY CONNECTION SCHEME; 1. Introduction; 2.1. A Detailed Model of the Visual Cortex -- Methods; 2.2. A Detailed Model of the Visual Cortex -- Results
Proceedings of the International Symposium on Neural Networks for Sensory and Motor Systems, held in Neuss, Germany, March 22-24, 1990.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
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Includes bibliographical references and index.
Amsterdam ; New York : North-Holland, 1990