Neural and Synergetic Computers

Proceedings of the International Symposium at Schloss Elmau, Bavaria, June 13 – 17, 1988

Springer Series in Synergetics, Vol. 42

1988, Springer-Verlag, Berlin, ISBN 3-540-50339-0

Editor:

Prof. Dr. Dr. h.c. mult. Hermann Haken

Institut für Theoretische Physik der Universität Stuttgart

Pfaffenwaldring 57/IV

D-7000 Stuttgart, Fed. Rep. of Germay, and

Center for Complex Systems

Florida Atlantic University

Boca Raton, FL 33431, USA

Contents

Part I: Synergetics, self-organization, pattern recognition

H. Haken: Synergetics in pattern recognition and associative action

A. Fuchs, H. Haken (Institut für Theoretische Physik und Synergetik, Universität Stuttgart, D-7000 Stuttgart): Computer simulations of pattern recognition as a dynamical process of a synergetic system

W. Güttinger, G. Dangelmayr (Institute for Information Sciences, University of Tübingen, D-7400 Tübingen): Variational principles in pattern theory

G.A. Carpenter (Dept. of Mathematics, Northeastern University, Boston, MA 02115); S. Grossberg (Center for Adaptive Systems, Boston University, Boston, MA 02215): Self-organizing neural network architectures for real-time adaptive pattern recognition

Part II: Neural Networks

E.R. Caianiello (Dipartimento di Fisica Teorica e S.M.S.A., Università degli Studi di Salerno, I-84081 Baronissi): Problems for nets and nets for problems

Shun-ichi Amari (University of Tokyo, Faculty of Engineering, Tokyo, Japan): Associative memory and its statistical neurodynamical analysis

G. Palm (C. u. O. Vogt-Institut für Hirnforschung, Universität Düsseldorf, D-4000 Düsseldorf): Local Synaptic rules with maximal information storage capacity

M. Weick (Corporate Research and Technology, Corporate Laboratories for Information Technology, Siemens AG, D-8000 Munich 83): Hopfield model, Boltzman machine, multilayer perception and selected applications

W. von Seelen, H.A. Mallot, F. Giannakopoulos (Institut für Zoologie III, Biophysik, Johannes-Gutenberg-Universität, D-6500 Mainz): Computation in cortical nets

H.-G. Purwins, Ch. Radehaus (Institute for Applied Physics, University of Münster, D-4400 Münster): Pattern formation on analogue parallel networks

W. Banzhaf (Institut für Theoretische Physik und Synergetik der Universität Stuttgart, D-7000 Stuttgart): Optimization by diploid search strategies

Part III: Perception and motor control

W. Reichardt, M. Egelhaaf (Max-Planck-Institut für Biologische Kybernetik, D-7400 Tübingen); R.W. Schlögl (Max-Planck-Institut für Biophysik, D-6000 Frankfurt/ Main): Movement detectors of the correlation type provide sufficient information for local computation of the 2-D velocity field

J.A.S. Kelso, G.C. deGuzman (Center for Complex Systems, Florida Atlantic University, Boca Raton, FL33431): Order in time: how the cooperation between the hands informs the design of the brain

D. Bullock, S. Grossberg (Center for Adaptive Systems, Mathematics Department, Boston University, Boston, MA 02215): Self-organizing neural architectures for eye movements, arm movements, and eye-arm coordination

R. Eckmiller (Division of Biocybernetics, University of Düsseldorf, D-4000 Düsseldorf): Neural nets for the management of sensory and motor trajectories

Part IV: Optical systems

L.A. Lugiato, C. Oldano, L. Sartirana, W. Kaige (Dipartimento di Fisica del Politecnico, I-10129 Torino); L.M. Narducci, G.-L. Oppo (Physics Dept., Drexel University, Philadelphia, PA 19104); F. Prati (Dipartimento di Fisica dell’Università, I-20133 Milano); G. Brogli (Physik-Institut der Universität Zürich, 8001 Zürich): Spatial symmetry breaking in optical systems

L.A. Lugiato, W. Kaige (Dipartimento di Fisica del Politecnico, I-10129 Torino); L.M. Narducci, G.-L- Oppo, M.A. Pernigo, J.R. Tredicce (Physics Dept., Drexel University, Philadelphia, PA 19104); D.K. Bandy (Physics Dept., Oklahoma State University, Stillwater, OK 74078); F. Prati (Dipartimento di Fisica dell’Università, I-20133 Milano): Cooperative frequency locking and spatial structures in lasers