<p>For any research field to have a lasting impact, there must be a firm theoretical foundation. Neural networks research is no exception. Some of the foundaยญ tional concepts, established several decades ago, led to the early promise of developing machines exhibiting intelligence. The motivation for
Advanced Neural Computers
โ Scribed by R. Eckmiller
- Publisher
- Elsevier B.V, North Holland
- Year
- 1990
- Tongue
- English
- Leaves
- 430
- Edition
- First
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
As a rapidly-published report on the state of the art in Neural Computing it forms a reference book for future research in this highly interdisciplinary field and should prove useful in the endeavor to transfer concepts of brain function and structure to novel neural computers with adaptive, dynamical neural net topologies.
A feature of the book is the completeness of the references provided. An alphabetical list of all references quoted in the papers is given, as well as a separate list of general references to help newcomers to the field. A subject index and author index also facilitate access to various details.
โฆ Table of Contents
Content:
Front Matter, Page iii
Copyright, Page iv
PREFACE, Page v, The Editor
ACKNOWLEDGEMENT OF SPONSORSHIP, Page vi
Prolegomena to an Analysis of Form and Structure, Pages 3-10, Eduardo R. Caianiello
The Truck Backer-Upper: An Example of Self-Learning in Neural Networks, Pages 11-19, Derrick Nguyen, Bernard Widrow
DIE LERNMATRIX - THE BEGINNING OF ASSOCIATIVE MEMORIES, Pages 21-29, Karl STEINBUCH
MODEL OF VISUO-MOTOR TRANSFORMATIONS PERFORMED BY THE CEREBRAL CORTEX TO COMMAND ARM MOVEMENTS AT VISUAL TARGETS IN THE 3-D SPACE, Pages 33-41, Y. Burnod, R. Caminiti, P. Johnson, Ph. Granguillaume, I. Otto
NEURAL NETWORK MODELS OF THE PRIMATE MOTOR SYSTEM, Pages 43-50, Eberhard E. FETZ, Larry E. SHUPE
Neural Representation of Motor Synergies, Pages 51-59, Pietro Morasso
Vestibular Head- Eye Coordination: a Geometrical Sensorimotor Neurocomputer Paradigm, Pages 61-68, Andras J. PELLIONISZ, Barry W. PETERSON, David L. TOMKO
THE REPRESENTATION OF INFORMATION IN THE TEMPORAL LOBE VISUAL CORTICAL AREAS OF MACAQUES, Pages 69-78, Edmund T. Rolls
Exploration of a natural environment, Pages 79-86, W. von Seelen, H.A. Mallot
MODELING VISUAL CORTEX: HIDDEN ANISOTROPIES IN AN ISOTROPIC INHIBITORY CONNECTION SCHEME, Pages 87-94, Florentin WรRGรTTER, Ernst NIEBUR, Christof KOCH
THE LOGIC OF NEURAL COGNITION, Pages 97-102, Igor ALEKSANDER, Helen MORTON
Non-Lipschitzian Neural Dynamics, Pages 103-112, Jacob Barhen, Michail Zak, Nikzad Toomarian
GEMINI: A PERCEPTRON-LIKE NEURAL NETWORK WITH BIOLOGICAL SIMILARITIES, Pages 113-119, Steen S. CHRISTENSEN, Rodney M.J. COTTERILL, Claus NIELSEN
ON THE HEBB RULE AND UNLIMITED PRECISION ARITHMETIC IN A Mc CULLOCH AND PITTS NETWORK, Pages 121-128, Pietro De Pinto, Francesco E. Lauria, Marcello Sette
ON THE ALGEBRAIC STRUCTURE OF FEEDFORWARD NETWORK WEIGHT SPACES, Pages 129-135, Robert Hecht-Nielsen
STATISTICAL PATTERN RECOGNITION REVISITED, Pages 137-144, Teuvo Kohonen
LOCAL LEARNING RULES AND SPARSE CODING IN NEURAL NETWORKS, Pages 145-150, Gรผnther PALM
Speeding up Backpropagation, Pages 151-158, Fernando M. Silva, Luis B. Almeida
VLSI IMPLEMENTATION OF SENSORY PROCESSING SYSTEMS, Pages 161-166, L.A. Akers, S. Haghighi, A. Rao
THE PYGMALION NEURAL NETWORK PROGRAMMING ENVIRONMENT, Pages 167-175, B. Angรฉniol, P. Treleaven
SIMULATORS FOR NEURAL NETWORKS, Pages 177-183, Simon C.J. GARTH
Dynamics and VLSI Implementation of SelfโOrganizing Networks, Pages 185-192, Dan Hammerstrom, Todd Leen, Eric Means
HARDWARE FOR NEURAL-NET OPTICAL CHARACTER RECOGNITION, Pages 193-200, L.D. Jackel, B. Boser, J.S. Denker, H.P. Graf, Y. Le Cun, I. Guyon, D. Henderson, R.E. Howard, W. Hubbard, O. Matan, S.A. Solla
THE ROLE OF TIME IN NATURAL INTELLIGENCE: IMPLICATIONS FOR NEURAL NETWORK AND ARTIFICIAL INTELLIGENCE RESEARCH, Pages 201-207, A. HARRY KLOPF, JAMES S. MORGAN
HARDWARE CONCEPTS FOR NEURAL NETWORKS, Pages 209-218, Ulrich Ramacher
Rapid Prototyping for Neural Networks, Pages 219-226, David E. Van den Bout, Wesley Snyder, Thomas K. Miller III
ANIMATE VISION USES OBJECT-CENTERED REFERENCE FRAMES, Pages 229-236, Dana H. Ballard
A Performance Evaluation of ALIAS for the Detection of Geometric Anomalies on Fractal Images, Pages 237-246, Peter Bock, Richard Rovner, C. Joseph Kocinski
HOW CONNECTIONIST MODELS COULD IMPROVE MARKOV MODELS FOR SPEECH RECOGNITION, Pages 247-254, Hervรฉ A. Bourlard
AN ALGEBRAIC APPROACH TO BOOLEAN FEEDFORWARD NETWORKS, Pages 255-262, Wolfram Bรผttner
ALPHANUMERIC CHARACTER RECOGNITION BY THE NEOCOGNITRON, Pages 263-270, Kunihiko FUKUSHIMA, Nobuaki WAKE
STORING AND PROCESSING INFORMATION IN CONNECTIONIST SYSTEMS, Pages 271-277, Hans Geiger
THE CLOSED LOOP ANTAGONISTIC NETWORK (CLAN), Pages 279-285, G. HARTMANN
Adaptive Resonance Structures in Hierarchical Receptive Field Pattern Recognition Machines, Pages 287-294, Kenneth Johnson
RECEPTIVE FIELD TAXONOMY, Pages 295-301, Jan J. KOENDERINK, Andrea J. VAN DOORN
CONSIDERATIONS FOR A VISUAL ARCHITECTURE, Pages 303-312, Christoph von der Malsburg
NEURAL MODELLING OF VISION AND OLFACTION, Pages 313-322, John G. TAYLOR
Neural Computers for Foveating Vision Systems, Pages 323-330, Yehoshua Y. Zeevi, Ran Ginosar
On the Neural Computations Underlying Curve Detection, Pages 331-337, Steven W. ZUCKER, Allan DOBBINS, Lee IVERSON
Network Based Autonomous Robot Motor Control: from Hormones to Learning, Pages 341-348, Rodney A. Brooks, Paul A. Viola
SPINAL NETWORK COMPUTATIONS ENABLE INDEPENDENT CONTROL OF MUSCLE LENGTH AND JOINT COMPLIANCE, Pages 349-356, Daniel Bullock, Stephen Grossberg
Neural Computers for Motor Control, Pages 357-364, Rolf Eckmiller
Feedback-Error-Learning Neural Network for Supervised Motor Learning, Pages 365-372, Mitsuo Kawato
DAS LERNFAHRZEUG NEURAL NETWORK APPLICATION FOR AUTONOMOUS MOBILE ROBOTS, Pages 373-379, Rigobert OPITZ
Motor Learning by โChargeโ Placement with Self-organizing Maps, Pages 381-388, H. RITTER
List of General References, Pages 389-390
REFERENCES FROM ALL CONTRIBUTIONS, Pages 391-434
List of Contributors, Pages 435-441
AUTHOR INDEX, Pages 443-450
SUBJECT INDEX, Pages 451-453
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