Self-Organization, Emerging Properties, and Learning - Softcover

Inhaltsangabe

Spatio-Temporal Patterns and Network Computation.- Application of Synergetics to Pattern Information and Pattern Recognition.- Coupled Map Lattices : Abstract Dynamics and Models for Physical Systems.- The Self-Organized Phase Attractive Dynamics of Coordination.- Possible Neural Mechanisms of Feature Linking in the Visual System : Stimulus-Locked and Stimulus-Induced Synchronizations.- A Model for Synchronous Activity in the Visual Cortex.- Some Collective Phenomena in the Hippocampus In Vitro.- Information Theory and Early Visual Information Processing.- Deterministic Chaos in a Model of the Thalamo-cortical System.- Chaos and Information Processing: Multifractal Attractors Mediating Perception and Cognition.- Spontaneous Activity in a Large Neural Net: Between Chaos and Noise.- Neural Learning Algorithms and their Applications in Robotics.- Self-Organization of Spatial Representation and Arm Trajectory Controllers by Vector Associative Maps Energized by Cyclic Random Generators.- Neural Darwinism and Selective Recognition Automata: How Selection Shapes Perceptual Categories.- Asymptotic Behaviour of Neural Networks and Image Processing.- Entropy and Learning.- Molecular Evolution as a Complex Optimization Problem.- A Nonthermodynamic Formalism for Biological Information Systems: Hierarchical Lacunarity in Partition Size of Intermittency.- Collectively Self-Solving Problems.- Imitation, Learning, and Communication: Central or Polarized Patterns in Collective Actions.- Spectral Entropy as a Measure of Self-Organization in Transition Flows.- Contributors.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.