Artificial Neural Networks — ICANN'97: 7th International Conference Lausanne, Switzerland, October 8–10, 1997 Proceeedings

Reward responses of dopamine neurons: A biological reinforcement signal....Pages 1-12
The information content of action potential trains a synaptic basis....Pages 13-23
Cortical cell assemblies, laminar interaction, and thalamocortical interplay....Pages 25-30
Cross-correlations in sparsely connected recurrent networks of spiking neurons....Pages 31-36
A comparative study of pattern detection algorithm and dynamical system approach using simulated spike trains....Pages 37-42
Spatio-temporal pattern recognition with neural networks: Application to speech....Pages 43-48
Noise in integrate-and-fire models of neuronal dynamics....Pages 49-54
Coarse coding accounts for improvement of spatial discrimination after plastic reorganization in rats and humans....Pages 55-60
Analogue resolution in a model of the Schaffer collaterals....Pages 61-66
Modeling networks with linear (VLSI) integrate-and-fire neurons....Pages 67-72
An information-theoretic analysis of temporal coding strategies by spiking central neurons....Pages 73-78
Correlation coding in stochastic neural networks....Pages 79-84
Two-dimensional Hodgkin-Huxley equations for investigating a basis of pulse-processing neural networks....Pages 85-90
Concurrent parallel-sequential processing in gamma controlled cortical-type networks of spiking neurones....Pages 91-96
A noise-robust auditory modelling front end for voiced speech....Pages 97-102
A novelty detector using a network of integrate and fire neurons....Pages 103-108
Derivation of pool dynamics from microscopic neuronal models....Pages 109-114
How a single Purkinje cell could learn the adaptive timing of the classically conditioned eye-blink response....Pages 115-120
An algorithm for synaptic modification based on exact timing of pre- and post-synaptic action potentials....Pages 121-126
Modelling plasticity in rat barrel cortex induced by one spared whisker....Pages 127-132
Mathematical analysis of competition between sensory ganglion cells for nerve growth factor in the skin....Pages 133-138
Competition amongst neurons for neurotrophins....Pages 139-144
Implementing hebbian learning in a rank-based neural network....Pages 145-150
A model of clipped hebbian learning in a neocortical pyramidal cell....Pages 151-156
Hebbian delay adaptation in a network of integrate-and-fire neurons....Pages 157-162
Hippocampal formation trains independent components via forcing input reconstruction....Pages 163-168
Nature vs. nurture in the development of tangential connections and functional maps in the visual cortex....Pages 169-176
Geometric relationships between feature maps in cat visual cortex....Pages 177-182
A linear hebbian model for the development of spatiotemporal receptive fields of simple cells....Pages 183-188
Synapse clustering can drive simultaneous ON-OFF and ocular-dominance segregation in a model of area 17....Pages 189-194
Must pinwheels move during visual development ?....Pages 195-200
Extending the TRN model in a biologically plausible way....Pages 201-206
SOM-Model for the development of oriented receptive fields and orientation maps from non-oriented ON-center OFF-center inputs....Pages 207-212
On the anatomical basis of field size, contrast sensitivity, and orientation selectivity in macaque striate cortex: A model study....Pages 213-218
Statistics of natural and urban images....Pages 219-224
A CBL network model with intracortical plasticity and natural image stimuli....Pages 225-230
Geometry of orientation preference map determines nonclassical receptive field properties....Pages 231-236
A model for orientation tuning and contextual effects of orientation selective receptive fields....Pages 237-242
Objective functions for neural map formation....Pages 243-248
Relative time scales in the self-organization of pattern classification: From “one-shot” to statistical learning....Pages 249-254
Realization of geometric illusions and geometry of visual space with neural networks....Pages 255-260
The Support Vector method....Pages 261-271
On the significance of Markov decision processes....Pages 273-282
Economical reinforcement learning for non stationary problems....Pages 283-288
A double gradient algorithm to optimize regularization....Pages 289-294
Global least-squares vs. EM training for the Gaussian mixture of experts....Pages 295-300
Accelerated learning in Boltzmann Machines using mean field theory....Pages 301-306
Adaptive online learning for nonstationary problems....Pages 307-312
Weight discretization due to optical constraints and its influence on the generalization abilities of a simple perceptron....Pages 313-318
Wavelet frames based estimator....Pages 319-324
A spatio-temporal perceptron for on-line handwritten character recognition....Pages 325-330
Learning oscillations using adaptive control....Pages 331-336
Creation of neural networks based on developmental and evolutionary principles....Pages 337-342
A boosting algorithm for regression....Pages 343-348
Combining regularized neural networks....Pages 349-354
Making stochastic networks deterministic....Pages 355-360
Unsupervised learning in networks of spiking neurons using temporal coding....Pages 361-366
Experiments on regularizing MLP models with background knowledge....Pages 367-372
Elliptical basis function networks for classification tasks....Pages 373-378
Probabilistic Neural Networks with rotated kernel functions....Pages 379-384
Statistical control of RBF-like networks for classification....Pages 385-390
Improving RBF networks by the feature selection approach EUBAFES....Pages 391-396
Polynomial classifiers and support vector machines....Pages 397-402
Unique representations of dynamical systems produced by recurrent neural networks....Pages 403-408
Generalization of Elman networks....Pages 409-414
Designing neural networks by a combination of structural learning and genetic algorithms....Pages 415-420
A recurrent self-organizing map for temporal sequence processing....Pages 421-426
An extended Elman net for modeling time series....Pages 427-432
Recurrent associative memory network of nonlinear coupled oscillators....Pages 433-438
A layered recurrent neural network for feature grouping....Pages 439-444
A multilayer real-time, recurrent learning algorithm for improved convergence....Pages 445-450
Increasing the capacity of a hopfield network without sacrificing functionality....Pages 451-456
A novel associative network accommodating pattern deformation....Pages 457-462
Adaptive noise injection for input variables relevance determination....Pages 463-468
Input selection with partial retraining....Pages 469-474
On the complexity of recognizing iterated differences of polyhedra....Pages 475-480
Optimal linear regression on classifier outputs....Pages 481-486
Learning verification in multilayer neural networks....Pages 487-492
Design of a fault tolerant multilayer perceptron with a desired level of robustness....Pages 493-498
Mixtures of experts estimate a posteriori probabilities....Pages 499-504
Admissibility and optimality of the cascade-correlation algorithm....Pages 505-510
The effective VC dimension of the n -tuple classifier....Pages 511-516
From neural principal components to neural independent components....Pages 517-528
Entropy optimization....Pages 529-534
Improving the performance of infomax using statistical signal processing techniques....Pages 535-540
A maximum likelihood approach to nonlinear blind source separation....Pages 541-546
A perceptron-based approach to piecewise linear modeling with an application to time series....Pages 547-552
Local independent component analysis by the self-organizing map....Pages 553-558
Model breaking detection using independent component classifier....Pages 559-564
Neural network based processing for smart sensors arrays....Pages 565-570
Application of the MEC network to principal component analysis and source separation....Pages 571-576
Semi-blind source parameter separation....Pages 577-582
Kernel principal component analysis....Pages 583-588
An empirical comparison of dimensionality reduction techniques for pattern classification....Pages 589-594
Topology representing networks for intrinsic dimensionality estimation....Pages 595-600
SOM based visualization in data analysis....Pages 601-606
ARTMAP-DS: pattern discrimination by discounting similarities....Pages 607-612
A self-organizing network that can follow non-stationary distributions....Pages 613-618
Phase transitions in soft topographic vector quantization....Pages 619-624
Vector quantization by optimal neural gas....Pages 625-630
Convergences of the Kohonen maps: a dynamical system approach....Pages 631-636
Local Subspace Classifier....Pages 637-642
Asymptotic distributions associated to unsupervised Oja's learning equation....Pages 643-648
The probabilistic growing cell structures algorithm....Pages 649-654
Unsupervised coding with lococode....Pages 655-660
Wave propagation in self-organizing feature maps as a means for the representation of temporal sequences....Pages 661-666
Contextual kohonen SOM with orthogonal weight estimator principle....Pages 667-672
Self-organizing maps for robot control....Pages 673-684
Cognition is not computation; Evolution is not optimisation....Pages 685-690
Information theoretic implications of embodiment for neural network learning....Pages 691-696
Visual attention and learning of a cognitive robot....Pages 697-702
Feature binding through temporally correlated neural activity in a robot model of visual perception....Pages 703-708
Modeling obstacle avoidance behavior of flies using an adaptive autonomous agent....Pages 709-714
Minimalistic approach to 3D obstacle avoidance behavior from simulated evolution....Pages 715-720
Synthesis of developmental and evolutionary modeling of adaptive autonomous agents....Pages 721-726
Hebbian multilayer network in a wheelchair robot....Pages 727-732
Neural networks in an artificial life perspective....Pages 733-737
Incremental acquisition of local networks for the control of autonomous robots....Pages 739-744
Robot-animal interaction....Pages 745-750
The view-graph approach to visual navigation and spatial memory....Pages 751-756
Place sequence learning for navigation....Pages 757-762
Learning to communicate through imitation in autonomous robots....Pages 763-768
On learning soccer strategies....Pages 769-774
A model of logic like inference by memory model PATON....Pages 775-780
Force feedback control of an assembly robot by neural networks....Pages 781-786
Neural force control (NFC) for complex manipulator tasks....Pages 787-792
A hybrid path planning system combining the A*-method and RBF-networks....Pages 793-798
An ASSOM neural network to represent actions performed by an autonomous agent....Pages 799-804
The application of radial basis function networks with implicit continuity constraints....Pages 805-810
Autonomous vehicle guidance using analog VLSI neuromorphic sensors....Pages 811-816
Neural network visual tracking system....Pages 817-822
Pole-balancing with different evolved neurocontrollers....Pages 823-829
Calibration of parallel robots by evolutionary algorithm....Pages 831-836
On use of ANNs to model and to control robot manipulators....Pages 837-842
Identification of the electric arc of a furnace....Pages 843-848
On using MLPs for step size control in echo cancellation for hands-free telephone sets....Pages 849-854
Neurocontrol of nonlinear dynamic systems subject to unmeasured disturbance inputs....Pages 855-860
Multiple multivariate regression and global optimization in a large scale thermodynamical application....Pages 861-866
A neural network for parameter estimation of a DC motor for feed-drives....Pages 867-872
State-of-the-art and recent progress in hybrid HMM/ANN speech recognition....Pages 873-884
Perceptual grouping and attention during cortical form and motion processing....Pages 885-894
Development of shape primitives from images of composite objects represented by complex cells....Pages 895-900
Corner detection in color images by multiscale combination of end-stopped cortical cells....Pages 901-906
Constructing the cyclopean view....Pages 907-912
SAIM: A model of visual attention and neglect....Pages 913-918
Object selection with dynamic neural maps....Pages 919-924
A pre-processing technique based on the wavelet transform for linear autoassociators with applications to face recognition....Pages 925-930
Recognition and segmentation of components of a face by a multi-resolution neural network....Pages 931-936
Sensor fusion for mine detection with the RNN....Pages 937-942
Image segmentation for 3D object recognition using bidirectional networks....Pages 943-948
A feature map approach to pose estimation based on quaternions....Pages 949-954
Facial feature detection using neural networks....Pages 955-960
Random neural network recognition of shaped objects in strong clutter....Pages 961-966
AdaBoosting neural networks: Application to on-line character recognition....Pages 967-972
Cursive script recognition with time delay neural networks using learning hints....Pages 973-978
A powerful tool for fitting and forecasting deterministic and stochastic processes: The Kohonen classification....Pages 979-986
Neural model selection: How to determine the fittest criterion?....Pages 987-992
Long term forecasting by combining Kohonen algorithm and standard prevision....Pages 993-998
Predicting time series with support vector machines....Pages 999-1004
An extended neuron model for efficient timeseries generation and prediction....Pages 1005-1010
Different model types for short-term forecasting of characteristic load points....Pages 1011-1016
Assessing error bars in distribution load curve estimation....Pages 1017-1022
Building high performant classifiers by Integrating bayesian learning, mutual Information and committee techniques — A case study in time series prediction —....Pages 1023-1028
A probability estimation based criteria for model evaluation....Pages 1029-1034
Short-term load forecasting based on correlation dimension estimation and neural nets....Pages 1035-1040
Predictive neural models in noisy environment....Pages 1041-1046
A Neural—FIR predictor: Minimum size estimation based on nonlinearity analysis of input sequence....Pages 1047-1052
Modelling conditional probabilities with committees of RVFL networks....Pages 1053-1058
Classifying the wear of turning tools with neural networks....Pages 1059-1064
Detection of mobile phone fraud using supervised neural networks: A first prototype....Pages 1065-1070
Wiener type SOM-and MLP-Classifiers for recognition of dynamic modes....Pages 1071-1076
Analysis of wake/sleep EEG with competing experts....Pages 1077-1082
Nonlinear modelling of the daily heart rhythm....Pages 1083-1088
Linear and nonlinear combinations of connectionist models for local diagnosis in real-time telephone network traffic management....Pages 1089-1094
Neural network adaptive modeling of battery discharge behavior....Pages 1095-1100
Neural combustion control....Pages 1101-1106
A neural network based fault detector for power distribution systems....Pages 1107-1112
Visualization and analysis of voltage stability using self-organizing neural networks....Pages 1113-1118
Classification of meteorological patterns....Pages 1119-1124
Mapping of soil contamination by using artificial neural networks and multivariate geostatistics....Pages 1125-1130
Pseudo-resistive networks and their applications to analog collective computation....Pages 1131-1150
Implementation of CNN computing technology....Pages 1151-1155
Implementation of a masking network for speech perception....Pages 1157-1162
Real-time analog VLSI sensors for 2-D direction of motion....Pages 1163-1168
An improved multiplexed resistive network for analog image preprocessing....Pages 1169-1174
An analog VLSI computational engine for early vision tasks....Pages 1175-1180
Spatio-temporal filter adjustment from evaluative feedback for a retina implant....Pages 1181-1186
Simulation of spiking neural networks on different hardware platforms....Pages 1187-1192
Adaptive on-line learning algorithm for robust estimation of parameters of noisy sinusoidal signals....Pages 1193-1198
Analog sequential architecture for neuro-fuzzy models VLSI implementation....Pages 1199-1204
A mixed-signal VLSI circuit for skeletonization by grassfire transformation....Pages 1205-1210
Analysis and improvement of neural network robustness for on-board satellite image processing....Pages 1211-1216
On-line Hebbian learning for spiking neurons: Architecture of the weight-unit of NESPINN....Pages 1217-1222
Measurement of finite-precision effects in handwriting- and speech-recognition algorithms....Pages 1223-1228
A hardware implementation of hierarchical Neural Networks for real-time quality control systems in industrial applications....Pages 1229-1234
The SAND neurochip and its embedding in the MiND system....Pages 1235-1240
Short- and long-term dynamics in a stochastic pulse stream neuron implemented in FPGA....Pages 1241-1246
FPGA implementation of a network of neuronlike adaptive elements....Pages 1247-1252
Handwritten digit recognition with binary optical perceptron....Pages 1253-1258
Mapping of radial basis function networks to partial tree shape parallel neurocomputer....Pages 1259-1264
Attractor dynamics in an electronic neural network....Pages 1265-1270