Artificial Neural Networks - ICANN 96

Application of Artificial Neural Networks in Particle Physics.- Evolutionary computation — History, status, and perspectives.- Temporal structure of cortical activity.- SEE-1 — A vision system for use in real world environments.- Towards integration of nerve cells and silicon devices.- Unifying perspectives on neuronal codes and processing.- Visual recognition based on coding in temporal cortex: Analysis of pattern configuration and generalisation across viewing conditions without mental rotation.- A novel encoding strategy for associative memory.- Autoassociative memory with high storage capacity.- Information efficiency of the associative net at arbitrary coding rates.- Efficient learning in sparsely connected Boltzmann machines.- Incorporating invariances in support vector learning machines.- Estimating the reliability of neural network classifications.- Bayesian inference of noise levels in regression.- Complexity reduction in probabilistic neural networks.- Asymptotic complexity of an RBF NN for correlated data representation.- Regularization by early stopping in single layer perceptron training.- Clustering in weight space of feedforward nets.- Learning curves of on-line and off-line training.- Learning structure with Many-Take-All networks.- Dynamic feature linking in stochastic networks with short range interactions.- Collective dynamics of a system of adaptive velocity channels.- Local linear model trees for on-line identification of time-variant nonlinear dynamic systems.- Nonparametric data selection for improvement of parametric neural learning: A cumulant-surrogate method.- Prediction of mixtures.- Learning dynamical systems produced by recurrent neural networks.- Purely local neural Principal Component and Independent Component Learning.- How fast can neuronal algorithms match patterns?.- An annealed ‘neural gas’ network for robust vector quantization.- Associative completion and investment learning using PSOMs.- GTM: A principled alternative to the Self-Organizing Map.- Creating term associations using a hierarchical ART architecture.- Architecture selection through statistical sensitivity analysis.- Regression by topological map: Application on real data.- Signal processing by neural networks to create “virtual” sensors and model-based diagnostics.- Development of an advisory system based on a neural network for the operation of a coal fired power plant.- Blast furnace analysis with neural networks.- Diagnosis tools for telecommunication network traffic management.- Adaptive saccade control of a Binocular Head with Dynamic Cell Structures.- Learning fine motion by using the Hierarchical Extended Kohonen Map.- Subspace dimension selection and averaged learning subspace method in handwritten digit classification.- A dual route neural net approach to grapheme-to-phoneme conversion.- Separating EEG spike-clusters in epilepsy by a growing and splitting net.- Optimal texture feature selection for the co-occurrence map.- Comparison of view-based object recognition algorithms using realistic 3D models.- Color-calibration of a robot vision system using self-organizing feature maps.- Neural network model for maximum ozone concentration prediction.- Very large two-level SOM for the browsing of newsgroups.- Automatic Part-Of-Speech tagging of Thai corpus using neural networks.- Reproducing a subjective classification scheme for atmospheric circulation patterns over the United Kingdom using a neural network.- Two gradient descent algorithms for blind signal separation.- Classification rejection by prediction.- Application of Radial Basis Function Neural Networks to odour sensing using a broad specificity array of conducting polymers.- A hybrid object recognition architecture.- Robot learning in analog neural hardware.- Visual gesture recognition by a modular neural system.- Tracking and learning graphs on image sequences of faces.- Neural network model recalling spatial maps.- Neural field dynamics for motion perception.- Analytical technique for deriving connectionist representations of symbol structures.- Modeling human word recognition with sequences of artificial neurons.- A connectionist variation on inheritance.- Mapping of multilayer perceptron networks to partial tree shape parallel neurocomputer.- Linearly expandable partial tree shape architecture for parallel neurocomputer.- A high-speed scalable CMOS current-mode Winner-Take-All network.- An architectural study of a massively parallel processor for convolution-type operations in complex vision tasks.- FPGA implementation of an adaptable-size neural network.- Extraction of coherent information from non-overlapping receptive fields.- Cortico-tectal interactions in the cat visual system.- Detecting and measuring higher order synchronization among neurons: A Bayesian approach.- Analyzing the formation of structure in high-dimensional Self-Organizing Maps reveals differences to feature map models.- Precise restoration of cortical orientation maps explained by hebbian dynamics of geniculocortical connections.- Modification of Kohonen's SOFM to simulate cortical plasticity induced by coactivation input patterns.- Cortical map development driven by spontaneous retinal activity waves.- Simplifying neural networks for controlling walking by exploiting physical properties.- Saccade control through the collicular motor map: Two-dimensional neural field model.- Plasticity of neocortical synapses enables transitions between rate and temporal coding.- Controlling the speed of synfire chains.- Temporal compositional processing by a DSOM hierarchical model.- A genetic model and the Hopfield networks.- Desaturating coefficient for projection learning rule.- Getting more information out of SDM.- Using a general purpose meta neural network to adapt a parameter of the quickpropagation learning rule.- Unsupervised learning of the minor subspace.- A unification of Genetic Algorithms, Neural Networks and Fuzzy Logic: The GANNFL Approach.- Active learning of the generalized high-low-game.- Optimality of pocket algorithm.- Improvements and extensions to the constructive algorithm CARVE.- Annealed RNN learning of finite state automata.- A hierarchical learning rule for independent component analysis.- Improving neural network training based on Jacobian rank deficiency.- Neural networks for exact constrained optimization.- Capacity of structured multilayer networks with shared weights.- Optimal weight decay in a perceptron.- Bayesian regularization in constructive neural networks.- A nonlinear discriminant algorithm for data projection and feature extraction.- A modified spreading algorithm for autoassociation in weightless neural networks.- Analysis of multi-fluorescence signals using a modified Self-Organizing Feature Map.- Visualizing similarities in high dimensional input spaces with a growing and splitting neural network.- A neural lexical post-processor for improved neural predictive word recognition.- Solving nonlinear MBPC through convex optimization: A comparative study using neural networks.- Combining statistical models for protein secondary structure prediction.- Using RBF-nets in rubber industry process control.- Towards autonomous robot control via self-adapting recurrent networks.- A hierarchical network for learning robust models of kinematic chains.- Context-based cognitive map learning for an autonomous robot using a model of cortico-hippocampal interplay.- An algorithm for bootstrapping the core of a biologically inspired motor control system.- Automatic recalibration of a space robot: An industrial prototype.- Population coding in cat visual cortex reveals nonlinear interactions as predicted by a neural field model.- Representing multidimensional stimuli on the cortex.- An analysis and interpretation of the oscillatory behaviour of a model of the granular layer of the cerebellum.- The cerebellum as a “coupling machine”.- The possible function of dopamine in associative learning: A computational model.- Signatures of dynamic cell assemblies in monkey motor cortex.- Modelling speech processing and recognition in the auditory system with a three-stage architecture.- Binding — A proposed experiment and a model.- A reduced model for dendritic trees with active membrane.- Stabilizing competitive learning during on-line training with an anti-Hebbian weight modulation.- Neuro-biological bases for spatio-temporal data coding in artificial neural networks.- A spatio-temporal learning rule based on the physiological data of LTP induction in the hippocampal CA1 network.- Learning novel views to a single face image.- A parallel algorithm for depth perception from radial optical flow fields.- Comparing facial line drawings with gray-level images: A case study on PHANTOMAS.- Geometrically constrained optical flow estimation by an Hopfield neural network.- Serial binary addition with polynormally bounded weights.- Evaluation of the two different interconnection networks of the CNAPS neurocomputer.- Intrinsic and parallel performances of the OWE neural network architecture.- An analog CMOS neural network with on-chip learning and multilevel weight storage.- Exponential hebbian on-line learning implemented in FPGAs.- An information-theoretic measure for the classification of time series.- Transformation of neural oscillators.- Analysis of drifting dynamics with competing predictors.- Inverse dynamics controllers for robust control: Consequences for neurocontrollers.- A local connected neural oscillator network for pattern segmentation.- Approximation errors of state and output trajectories using recurrent neural networks.- Comparing self-organizing maps.- Nonlinear Independent Component Analysis by self-organizing maps.- Building nonlinear data models with self-organizing maps.- A parameter-free non-growing self-organizing map based upon gravitational principles: Algorithm and applications.- Topological maps for mixture densities.- A novel algorithm for image segmentation using time dependent interaction probabilities.- Reconstruction from graphs labeled with responses of Gabor filters.- Edge information: A confidence based algorithm emphazising continuous curves.- Neural model of cortical dynamics in resonant boundary detection and grouping.- A neural clustering algorithm for estimating visible articulatory trajectory.- Binary spatter-coding of ordered K-tuples.- A hybrid approach to natural language parsing.- A self-organizing neural network approach for the acquisition of phonetic categories.- Inward relearning: A step towards long-term memory.- Neural modelling of cognitive disinhibition and neurotransmitter dysfunction in OCD.- Confluent preorder parser as finite state automata.- Modeling psychological stereotypes in self-organizing maps.