This book constitutes the refereed proceedings of the 7th International Conference on Artificial Neural Networks, ICANN'97, held in Lausanne, Switzerland,in October 1997. The 201 revised papers presented were selected from a large number of submissions and give a unique documentation of the state of the art in the area. The papers are organized in parts on coding and learning in biology; cortical maps and receptive fields; learning: theory and applications; signal processing: blind source separation, vector quantization, and self-organization; robotics, autonomous agents, and control; speech,…mehr
This book constitutes the refereed proceedings of the 7th International Conference on Artificial Neural Networks, ICANN'97, held in Lausanne, Switzerland,in October 1997. The 201 revised papers presented were selected from a large number of submissions and give a unique documentation of the state of the art in the area. The papers are organized in parts on coding and learning in biology; cortical maps and receptive fields; learning: theory and applications; signal processing: blind source separation, vector quantization, and self-organization; robotics, autonomous agents, and control; speech, vision and pattern recognition; prediction, forecasting and monitoring; and implementations.
Reward responses of dopamine neurons: A biological reinforcement signal.- The information content of action potential trains a synaptic basis.- Cortical cell assemblies, laminar interaction, and thalamocortical interplay.- Cross-correlations in sparsely connected recurrent networks of spiking neurons.- A comparative study of pattern detection algorithm and dynamical system approach using simulated spike trains.- Spatio-temporal pattern recognition with neural networks: Application to speech.- Noise in integrate-and-fire models of neuronal dynamics.- Coarse coding accounts for improvement of spatial discrimination after plastic reorganization in rats and humans.- Analogue resolution in a model of the Schaffer collaterals.- Modeling networks with linear (VLSI) integrate-and-fire neurons.- An information-theoretic analysis of temporal coding strategies by spiking central neurons.- Correlation coding in stochastic neural networks.- Two-dimensional Hodgkin-Huxley equations for investigating a basis of pulse-processing neural networks.- Concurrent parallel-sequential processing in gamma controlled cortical-type networks of spiking neurones.- A noise-robust auditory modelling front end for voiced speech.- A novelty detector using a network of integrate and fire neurons.- Derivation of pool dynamics from microscopic neuronal models.- How a single Purkinje cell could learn the adaptive timing of the classically conditioned eye-blink response.- An algorithm for synaptic modification based on exact timing of pre- and post-synaptic action potentials.- Modelling plasticity in rat barrel cortex induced by one spared whisker.- Mathematical analysis of competition between sensory ganglion cells for nerve growth factor in the skin.- Competition amongst neurons for neurotrophins.- Implementing hebbian learning in a rank-based neural network.- A model of clipped hebbian learning in a neocortical pyramidal cell.- Hebbian delay adaptation in a network of integrate-and-fire neurons.- Hippocampal formation trains independent components via forcing input reconstruction.- Nature vs. nurture in the development of tangential connections and functional maps in the visual cortex.- Geometric relationships between feature maps in cat visual cortex.- A linear hebbian model for the development of spatiotemporal receptive fields of simple cells.- Synapse clustering can drive simultaneous ON-OFF and ocular-dominance segregation in a model of area 17.- Must pinwheels move during visual development ?.- Extending the TRN model in a biologically plausible way.- SOM-Model for the development of oriented receptive fields and orientation maps from non-oriented ON-center OFF-center inputs.- On the anatomical basis of field size, contrast sensitivity, and orientation selectivity in macaque striate cortex: A model study.- Statistics of natural and urban images.- A CBL network model with intracortical plasticity and natural image stimuli.- Geometry of orientation preference map determines nonclassical receptive field properties.- A model for orientation tuning and contextual effects of orientation selective receptive fields.- Objective functions for neural map formation.- Relative time scales in the self-organization of pattern classification: From one-shot to statistical learning.- Realization of geometric illusions and geometry of visual space with neural networks.- The Support Vector method.- On the significance of Markov decision processes.- Economical reinforcement learning for non stationary problems.- A double gradient algorithm to optimize regularization.- Global least-squares vs. EM training for the Gaussian mixture of experts.- Accelerated learning in Boltzmann Machines using mean field theory.- Adaptive online learning for nonstationary problems.- Weight discretization due to optical constraints and its influence on the generalization abilities of a simple perceptron.- Wavelet frames based estimator.- A spatio-temporal perceptron for on-line handwritten charac
Reward responses of dopamine neurons: A biological reinforcement signal.- The information content of action potential trains a synaptic basis.- Cortical cell assemblies, laminar interaction, and thalamocortical interplay.- Cross-correlations in sparsely connected recurrent networks of spiking neurons.- A comparative study of pattern detection algorithm and dynamical system approach using simulated spike trains.- Spatio-temporal pattern recognition with neural networks: Application to speech.- Noise in integrate-and-fire models of neuronal dynamics.- Coarse coding accounts for improvement of spatial discrimination after plastic reorganization in rats and humans.- Analogue resolution in a model of the Schaffer collaterals.- Modeling networks with linear (VLSI) integrate-and-fire neurons.- An information-theoretic analysis of temporal coding strategies by spiking central neurons.- Correlation coding in stochastic neural networks.- Two-dimensional Hodgkin-Huxley equations for investigating a basis of pulse-processing neural networks.- Concurrent parallel-sequential processing in gamma controlled cortical-type networks of spiking neurones.- A noise-robust auditory modelling front end for voiced speech.- A novelty detector using a network of integrate and fire neurons.- Derivation of pool dynamics from microscopic neuronal models.- How a single Purkinje cell could learn the adaptive timing of the classically conditioned eye-blink response.- An algorithm for synaptic modification based on exact timing of pre- and post-synaptic action potentials.- Modelling plasticity in rat barrel cortex induced by one spared whisker.- Mathematical analysis of competition between sensory ganglion cells for nerve growth factor in the skin.- Competition amongst neurons for neurotrophins.- Implementing hebbian learning in a rank-based neural network.- A model of clipped hebbian learning in a neocortical pyramidal cell.- Hebbian delay adaptation in a network of integrate-and-fire neurons.- Hippocampal formation trains independent components via forcing input reconstruction.- Nature vs. nurture in the development of tangential connections and functional maps in the visual cortex.- Geometric relationships between feature maps in cat visual cortex.- A linear hebbian model for the development of spatiotemporal receptive fields of simple cells.- Synapse clustering can drive simultaneous ON-OFF and ocular-dominance segregation in a model of area 17.- Must pinwheels move during visual development ?.- Extending the TRN model in a biologically plausible way.- SOM-Model for the development of oriented receptive fields and orientation maps from non-oriented ON-center OFF-center inputs.- On the anatomical basis of field size, contrast sensitivity, and orientation selectivity in macaque striate cortex: A model study.- Statistics of natural and urban images.- A CBL network model with intracortical plasticity and natural image stimuli.- Geometry of orientation preference map determines nonclassical receptive field properties.- A model for orientation tuning and contextual effects of orientation selective receptive fields.- Objective functions for neural map formation.- Relative time scales in the self-organization of pattern classification: From one-shot to statistical learning.- Realization of geometric illusions and geometry of visual space with neural networks.- The Support Vector method.- On the significance of Markov decision processes.- Economical reinforcement learning for non stationary problems.- A double gradient algorithm to optimize regularization.- Global least-squares vs. EM training for the Gaussian mixture of experts.- Accelerated learning in Boltzmann Machines using mean field theory.- Adaptive online learning for nonstationary problems.- Weight discretization due to optical constraints and its influence on the generalization abilities of a simple perceptron.- Wavelet frames based estimator.- A spatio-temporal perceptron for on-line handwritten charac
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