ICANN ’93

Plenary Contributions.- Dynamic coupling in cortical neural networks.- Keeping neural networks simple.- Principles from Neurobiology.- The autoassociative hypothesis places constraints on hippocampal organization.- Metastability of network attractor and dream sleep.- Somatosensory cortical maps: reorganization following postontogenetic plasticity-experiments and theory.- Adequate input for learning in attractor neural networks.- Neurobiological modelling and structured neural networks.- Model analysis of associative learning in the photoreceptor of marine mollusc, Hermissenda Crassicornis.- A neural network model for motor shapes learning and programming.- Learning through adaptive value: a model working in a variable environment.- Improving categorization with CALM maps.- A simple self-organizing neural network architecture for selective visual attention.- Detection of coincidences and generation of hypotheses - a proposal for an elementary cortical function.- DIVA: a self-organizing neural network model for motor equivalent speech production.- Adaptive non-uniform A/D conversion achieved with an unsupervised learning rule maximizing information-theoretic entropy.- Optimal topology-preservation using self-organising logical neural networks.- Incorporation of neurobiological aspects of Aplysia's associative conditioning in neural networks for on-line pattern detection.- Description on the use of the autogenerative nodal memory model (ANM) as controlling element of an autonomously responsive system.- Human memory-neurocomputer (MeNeCo project): structure for reverbation of the information in N-peaked nets (in STMemory).- Neural representation of saccadic eye movements in monkey superior colliculus.- A self-organizing neural network for learning a body-centered invariant representation of 3-D target position.- Dynamic field approach to target selection in gaze control.- Differences in synaptic input and excitability between superficial and deep pyramidal cells in the cat sensorimotor cortex.- An adaptive sensory fusion approach for the superior colliculus.- A neural network model for spatial information representation.- A dynamical model for the generation of curved trajectories.- Functional organisation in the cerebellum.- Activation and contraction of a muscle.- Correlated neuronal activity and behaviour.- Map structure from pinwheel position.- Emergence of transient oscillations in an ensemble of neurons.- A distributed multicolumnar system for primary cortical analysis of real-world scenes.- Singularities in cortical orientation and direction maps: vortices, strings and bubbles.- A new model for spatial frequency and orientation tuning in the visual cortex based on delayed inputs from the retina.- Cascaded intracortical inhibition: modeling connection schemes on a large scale simulator.- Hidden assembly dynamics and correlated neuronal responses.- A model for latencies in the visual system.- A neural architecture for textured color image segmentation and recognition.- Activity-dependent modification of intrinsic neuronal properties.- Implications of and activity-dependent neunte outgrowth for developing neural networks.- PCA properties of interneurons.- Temporal distributed processing-TDP: a time-based processing scheme accounts for time dependent receptive fields and representational maps.- Stochastic specificity in neural interaction.- A computer simulation model of backwards feedback across synapse via arachidonic acid.- Study of a self-learning artificial neuron model.- Simulation study on calcium-activated dynamics of compartment dendrite model.- On the adaptive capabilities of pulse-coded cable neurons.- A local approximation of the cable equation for implementing a local interaction model.- Effect of glutamate uptake on the response dynamics of the retinal horizontal cell.- Robotics.- Neural networks for robot eye-hand coordination.- Unsupervised formation of feature detectors using residual inputs.