Proceedings of the International Conference on Artificial Neural Networks Amsterdam, The Netherlands 13¿16 September 1993 Herausgegeben:Gielen, Stan; Kappen, Bert
Proceedings of the International Conference on Artificial Neural Networks Amsterdam, The Netherlands 13¿16 September 1993 Herausgegeben:Gielen, Stan; Kappen, Bert
This book contains the proceedings of the International Confer ence on Artificial Neural Networks which was held between September 13 and 16 in Amsterdam. It is the third in a series which started two years ago in Helsinki and which last year took place in Brighton. Thanks to the European Neural Network Society, ICANN has emerged as the leading conference on neural networks in Europe. Neural networks is a field of research which has enjoyed a rapid expansion and great popularity in both the academic and industrial research communities. The field is motivated by the commonly held belief that…mehr
This book contains the proceedings of the International Confer ence on Artificial Neural Networks which was held between September 13 and 16 in Amsterdam. It is the third in a series which started two years ago in Helsinki and which last year took place in Brighton. Thanks to the European Neural Network Society, ICANN has emerged as the leading conference on neural networks in Europe. Neural networks is a field of research which has enjoyed a rapid expansion and great popularity in both the academic and industrial research communities. The field is motivated by the commonly held belief that applications in the fields of artificial intelligence and robotics will benefit from a good understanding of the neural information processing properties that underlie human intelligence. Essential aspects of neural information processing are highly parallel execution of com putation, integration of memory and process, and robustness against fluctuations. It is believed that intelligent skills, such as perception, motion and cognition, can be easier realized in neuro-computers than in a conventional computing paradigm. This requires active research in neurobiology to extract com putational principles from experimental neurobiological find ings, in physics and mathematics to study the relation between architecture and function in neural networks, and in cognitive science to study higher brain functions, such as language and reasoning. Neural networks technology has already lead to practical methods that solve real problems in a wide area of industrial applications. The clusters on robotics and applications contain sessions on various sub-topics in these fields.
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.
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.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Shop der buecher.de GmbH & Co. KG Bürgermeister-Wegele-Str. 12, 86167 Augsburg Amtsgericht Augsburg HRA 13309
