Neural and Synergetic Computers

I Synergetics, Self-Organization, Pattern Recognition.- Synergetics in Pattern Recognition and Associative Action.- Computer Simulations of Pattern Recognition as a Dynamical Process of a Synergetic System.- Variational Principles in Pattern Theory.- Self-Organizing Neural Network Architectures for Real-Time Adaptive Pattern Recognition (With 10 Figures).- II Neural Networks.- Problems for Nets and Nets for Problems.- Associative Memory and Its Statistical Neurodynamical Analysis.- Local Synaptic Rules with Maximal Information Storage Capacity.- Hopfield Model, Boltzmann Machine, Multilayer Perceptron and Selected Applications.- Computation in Cortical Nets.- Pattern Formation on Analogue Parallel Networks.- Optimization by Diploid Search Strategies.- III Perception and Motor Control.- Movement Detectors of the Correlation Type Provide Sufficient Information for Local Computation of the 2-D Velocity Field.- Order in Time: How the Cooperation Between the Hands Informs the Design of the Brain.- Self-Organizing Neural Architectures for Eye Movements, Arm Movements, and Eye-Ann Coordination.- Neural Nets for the Management of Sensory and Motor Trajectories.- IV Optical Systems.- Spatial Symmetry Breaking in Optical Systems.- Cooperative Frequency Locking and Spatial Structures in Lasers.- Index of Contributors.