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ICANN 98

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Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 (Back) Towards Diagrammatic Representation and Reasoning in a Connectionist Framework (Extended Abstract)
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    Chapter 2 Variational Learning in Graphical Models and Neural Networks
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    Chapter 3 Synchronization: The Computational Currency of Cognition
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    Chapter 4 Applications of Vapnik’s Theory for Prediction
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    Chapter 5 Brains, Gases and Robots
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    Chapter 6 Self-Organization of Very Large Document Collections: State of the Art
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    Chapter 7 Silicon Artificial Neural Networks
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    Chapter 8 Efficient Top-Down Jacobian Evaluation of Tree-Structured Neural Networks
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    Chapter 9 Tractable Undirected Approximations for Graphical Models
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    Chapter 10 Convex Cost Functions for Support Vector Regression
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    Chapter 11 Asymptotically Optimal Choice of ε-Loss for Support Vector Machines
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    Chapter 12 Support Vector Regression with Automatic Accuracy Control
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    Chapter 13 Queuing theory for spike driven synaptic dynamics
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    Chapter 14 The Deformable Feature Map — Adaptive Plasticity for Function Approximation
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    Chapter 15 Asymptotic Behavior of a Neural Network with Dynamic External Input
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    Chapter 16 Independent Component Analysis for Time-dependent Stochastic Processes
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    Chapter 17 Denoising of Sensory Data by Maximum Likelihood Estimation of Sparse Components
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    Chapter 18 Kernel PCA Pattern Reconstruction via Approximate Pre-Images
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    Chapter 19 The Pearson Mixture Model for Cluster Analysis and Data Visualisation
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    Chapter 20 Why feed-forward networks are in a bad shape
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    Chapter 21 Transients and Asymptotics of Natural Gradient Learning
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    Chapter 22 An Analysis of Convergence in Generalized LVQ
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    Chapter 23 Ultrametric Structure in Autoencoder Error Surfaces
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    Chapter 24 The Dynamics of Matrix Momentum
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    Chapter 25 Dynamics of Batch Learning in Multilayer Neural Networks
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    Chapter 26 An asymptotic analysis of AdaBoost in the binary classification case
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    Chapter 27 Least Absolute Shrinkage is Equivalent to Quadratic Penalization
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    Chapter 28 Neural Network Modelling of Ore Grade Spatial Variability
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    Chapter 29 Neural Virtual Sensors — Estimation of Combustion Quality in SI Engines using the Spark Plug
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    Chapter 30 Real-time ion temperature profiles in the JET nuclear fusion experiment
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    Chapter 31 Detection of Spatio-Temporal Ultrasonic Transient Families Using Filter Banks and Neural Nets
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    Chapter 32 Object Recognition with Multiple Feature Types
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    Chapter 33 Learning Gestures with Time-Delay RBF Networks
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    Chapter 34 Comparison of Adaptive Strategies for On-Line Character Recognition
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    Chapter 35 A Binary Correlation Matrix Memory k -NN Classifier
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    Chapter 36 Multinet: A New Connectionist Architecture for Speech Recognition
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    Chapter 37 Simulation Support and ATM Performance Prediction
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    Chapter 38 TDNN Approach to Measuring Raindrop Sizes and Velocities
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    Chapter 39 Optimizing the Evidence
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    Chapter 40 Adapting an Ensemble Approach for the Diagnosis of Breast Cancer
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    Chapter 41 Independent Component Analysis in Wave Decomposition of Auditory Evoked Fields
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    Chapter 42 Experiments in Gait Pattern Classification with Neural Networks of Adaptive Architecture
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    Chapter 43 Using Feature Selection to Find Inputs that Work Better as Extra Outputs
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    Chapter 44 Analysis of Multi-Choice Questionnaires through Self-Organizing Maps
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    Chapter 45 A Niching Genetic Algorithm for Selecting Features for Neural Network Classifiers
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    Chapter 46 The Wavelet Transform for Time Series Prediction
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    Chapter 47 Empirical Evaluation of Bayesian Sampling for Neural Classifiers
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    Chapter 48 State-dependent Spatio-temporal Restructuring of Receptive Fields in the Primary Visual Pathway
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    Chapter 49 Frequency Spectrum of Coupled Stochastic Neurons with Refractoriness
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    Chapter 50 Analysing the Context Dependence of Receptive Fields in Visual Cortex
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    Chapter 51 A Neural Model of Stereopsis
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    Chapter 52 Continuous Dynamics of Neuronal Delay Adaptation
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    Chapter 53 The Critical Synaptic Number for Rhythmogenesis and Synchronization in a Network Model of the Cerebellar Granular Layer
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    Chapter 54 A Model of Cortical Plasticity: Integration and Segregation based on Temporal Input Patterns
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    Chapter 55 Self-Organisation and Cortical Dynamics
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    Chapter 56 Continuous Time Recurrent Neural Networks for Grammatical Induction
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    Chapter 57 Encoding Structure in Boolean Space
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    Chapter 58 Non-compositional Representation in Connectionist Networks
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    Chapter 59 A connectionist model for categorical perception and symbol grounding
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    Chapter 60 Enriched lexical representations, large corpora, and the performance of SRNs
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    Chapter 61 Using Focus to Direct Environmental Mapping
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    Chapter 62 A biologically inspired adaptive control architecture based on neural networks for a four-legged walking machine
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    Chapter 63 2-D Pole Balancing with Recurrent Evolutionary Networks
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    Chapter 64 GripSee: A Robot for Visually-Guided Grasping
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    Chapter 65 Dynamics of a Classical Conditioning Model
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    Chapter 66 CMAC Models Learn to Play Soccer
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    Chapter 67 Pseudo-Parametric Q-Learning using Feedforward Neural Networks
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    Chapter 68 Continuous Q-Learning Resource Allocation Network
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    Chapter 69 Sparse Distributed Memory Mapping on Partial Tree Shape Neurocomputer
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    Chapter 70 PRESENCE, a hardware implementation of binary neural networks
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    Chapter 71 Analog VLSI implementation of a spike driven stochastic dynamical synapse
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    Chapter 72 Neural Dynamics in Real-Time for Large Scale Biomorphic Neural Networks
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    Chapter 73 A Study on Functional-Link Neural Units with Maximum Entropy Response
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    Chapter 74 Mean Field Theory based on Belief Networks for Approximate Inference
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    Chapter 75 On the Use of Local RBF Networks to Approximate Multivalued Functions and Relations
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    Chapter 76 Learning Higher Order Boltzmann Machines using Linear Response
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    Chapter 77 Order Parameters for Self-Organizing Maps
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    Chapter 78 Slope Centering: Making Shortcut Weights Effective
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    Chapter 79 Constrained Second-Order Recurrent Networks for Finite-State Automata Induction
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    Chapter 80 Exact Learning Curves for EKF Training
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    Chapter 81 Sparse Regression: Utilizing the Higher-order Structure of Data for Prediction
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    Chapter 82 A Linear Programming Neural Circuit Model
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    Chapter 83 Learning Invariance Manifolds
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    Chapter 84 Developmental Evolution of an Edge Detecting Retina
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    Chapter 85 Activity Driven Update in the Neural Abstraction Pyramid
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    Chapter 86 Jacobian Neural Network Learning Algorithms
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    Chapter 87 Quadratic Concepts
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    Chapter 88 Complexity of Boolean Computations for a Spiking Neuron
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    Chapter 89 Unsupervised Time Series Segmentation by Predictive Modular Neural Networks
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    Chapter 90 ICE — an Incremental Hybrid System for Continuous Learning
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    Chapter 91 Synthesis of Probabilistic Automata in p RAM Neural Networks
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    Chapter 92 Neural Modeling of Nonlinear Differential Equations with Discrete Measurements A Lagrangian Approach
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    Chapter 93 Simple Synchrony Networks : Learning to Parse Natural Language with Temporal Synchrony Variable Binding
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    Chapter 94 Gaussian Processes for Switching Regimes
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    Chapter 95 Artificial Neural Networks as Approximators of Stochastic Processes
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    Chapter 96 Piecewise Affine Neural Networks and Nonlinear Control
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    Chapter 97 Some Complexity Results for Perceptron Networks
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    Chapter 98 Multilayer Neural Networks for Classification: A Pedagogical Theorem
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    Chapter 99 An Experimental Comparison of Neural ICA Algorithms
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    Chapter 100 The Principal Independent Components of Images
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    Chapter 101 Pattern Formation in Locally Connected Oscillatory Networks
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    Chapter 102 LOCOCODE versus PCA and ICA
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    Chapter 103 TDSEP — an efficient algorithm for blind separation using time structure
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    Chapter 104 Optimal Cross-Validation Split Ratio: Experimental Investigation
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    Chapter 105 On the Convergence Properties of the Temporal Kohonen Map and the Recurrent Self-Organizing Map
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    Chapter 106 Multivariate Linear Regression on Classifier Outputs: a Capacity Study
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    Chapter 107 Automated Statistical Recognition of Partial Discharges in Insulation Systems
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    Chapter 108 A Radar System with Phase-Sensitive Millimetric Wave Circuitry and Complex-Amplitude Neural Processing
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    Chapter 109 Chances and Risks of Sensor Fusion with Neural Networks: An Application Example
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    Chapter 110 Support objects for domain approximation
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    Chapter 111 A Comparison of Traditional and Soft-Computing Methods in a Real-Time Control Application
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    Chapter 112 Efficient Local Subspace Construction for Neural Data Modeling
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    Chapter 113 Edge Detection of Multispectral Images Using the 1-D Self-Organizing Map
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    Chapter 114 Design of Cellular Neural Networks for Binary and Gray Level Image Processing
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    Chapter 115 Adaptive Illuminant Estimation Using Neural Networks
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    Chapter 116 Automatic neural generalized font identification
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    Chapter 117 An Approach to Blind Source Separation of Speech Signals
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    Chapter 118 Data Fusion for Diagnosis in a Telecommunication Network
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    Chapter 119 Creating an Order in Distributed Digital Libraries by Integrating Independent Self-Organizing Maps
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    Chapter 120 Competitive Learning for Binary Valued Data
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    Chapter 121 Neural Network-Based Inferential Sensing
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    Chapter 122 Retina Encoder Inversion for Retina Implant Simulation
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    Chapter 123 The Automated Identification of Tubercle Bacilli using Image Processing and Neural Computing Techniques
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    Chapter 124 Black-Box Software Sensor Design for Environmental Monitoring
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    Chapter 125 Classifying Regional Seismic Signals Using TDDN-alike Neural Networks
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    Chapter 126 A hierarchical self-organizing map model for sequence recognition
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    Chapter 127 Discrete Time Backpropagation and Synaptic Delay Based Artificial Neural Networks in Chaotic Time Series Prediction
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    Chapter 128 A Learning Method of Fuzzy Inference Rules Using Vector Quantization
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    Chapter 129 Mixed Fuzzy-system and Artificial Neural Network Approach to the Automated Recognition of Mouth Expressions
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    Chapter 130 COMVIS: A communication framework for computer vision
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    Chapter 131 Implementing a Hybrid Architecture for Artificial Neural Network Applications
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    Chapter 132 Application of ANN to the Selection of a Valve from the Catalogue
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    Chapter 133 A Neural Network Approach to Functional MRI Pattern Analysis — Clustering of Time-Series by Hierarchical Vector Quantization
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    Chapter 134 Penalized Training for Serially Correlated Data
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    Chapter 135 Gaussian Mixture and Kernel Based Approaches to Blind Separation of Sources Using Neural Nets
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    Chapter 136 The Adaptive Setback Thermostat
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    Chapter 137 Architecture Optimization in Feedforward Connectionist Models
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    Chapter 138 Neural Velocity Force Control for Industrial Manipulators Contacting Rigid Surfaces
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    Chapter 139 Neural Trajectory Optimization (NTO) for Manipulator Tracking of Unknown Surfaces
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    Chapter 140 Computer Network User Behaviour Visualisation Using Self Organising Maps
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    Chapter 141 Neural Control of a Virtual Prosthesis
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    Chapter 142 Adaptive Clustering and Multidimensional Scaling of Large and Highdimensional Data Sets
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    Chapter 143 Behavior of the Weights of a Support Vector Machine as a function of the Regularization Parameter C
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    Chapter 144 Convergence Properties of a Modified Temporal Anti-Hebbian Model
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    Chapter 145 Volatility Prediction with Mixture Density Networks
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    Chapter 146 Introducing a Clustering Technique into Recurrent Neural Networks for Solving Large-Scale Traveling Salesman Problems
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    Chapter 147 Comparing Different Measures of Spatio-Temporal Patterns in Neural Activity
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    Chapter 148 Influence of Recurrent Excitation and Inhibition on Receptive Field Size and Contrast Sensitivity in Layer 4C of Macaque Striate Cortex
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    Chapter 149 Self-Organization of Shift-Invariant Receptive Fields through Pre- and Post-Synaptic Competition
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    Chapter 150 A Cortical Interpretation of ASSOMs
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    Chapter 151 Decoding Population Responses in Short Epochs
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    Chapter 152 Modeling Reward Dependent Activity Pattern of Caudate Neurons
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    Chapter 153 Neural Signalling: It’s a Gas!
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    Chapter 154 Fast Learning of Dynamic Compensation in Motor Control
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    Chapter 155 ICANN 98
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    Chapter 156 The role of spatio-temporal neural response characteristics in the formation of synchrony
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    Chapter 157 Three-Layered Neural Model between Cortical areas V1 and IT
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    Chapter 158 An Interruptible Connectionist Model for Real-Time Pattern Recognition
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    Chapter 159 Implementation of Tunable Receptive Field (RF) Filters for Learning Retina Implants
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    Chapter 160 Rate and Temporal Coding with a Neural Oscillator
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    Chapter 161 Phase Transitions in Even Cyclic Inhibitory Networks
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    Chapter 162 The Basal Ganglia viewed as an Action Selection Device
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    Chapter 163 Parameters Estimation in the Diffusion Model for Multidimensional Neural Data
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    Chapter 164 Asynchronous simulation of large networks of spiking neurons and dynamical synapses
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    Chapter 165 Novelty Learning in a Discrete Time Chaotic Network
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    Chapter 166 Spike-Based Hebbian Learning for Stimulus Discrimination
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    Chapter 167 What Type of Finite Computations Do Recurrent Neural Networks Perform?
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    Chapter 168 Statistical Estimation in Conceptual Spaces
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    Chapter 169 A Connectionist account of Spanish determiner production
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    Chapter 170 Learning Decompositional Structures in a Network of Max-Π Units with Exponents as Connection Strengths
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    Chapter 171 Fuzzy Heterogeneous Neural Networks for Signal Forecasting
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    Chapter 172 Behavioural Coordination in Acoustically Coupled Agents
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    Chapter 173 Self-Localization by Hidden Representations
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    Chapter 174 Reinforcement Learning of Collision-free Motions for a Robot Arm with a Sensing Skin
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    Chapter 175 Multitask Pattern Recognition for Vision-Based Autonomous Robots
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    Chapter 176 Three Principles of Hierarchical Task Composition in Reinforcement Learning
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    Chapter 177 On-line EM Algorithm and Reinforcement Learning
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    Chapter 178 Embedding Knowledge in Reinforcement Learning
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    Chapter 179 Multistage STM in a Multilayer Hebbian Learning Architecture for Local Navigation
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    Chapter 180 Diploid Robots Adapting to Fast Changing Environments
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    Chapter 181 Dynamical Adaptation of a Neural-Net Based Agent
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    Chapter 182 A Reconfigurable Neuroprocessor with On-chip Pruning
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    Chapter 183 Laser Neural Network Demonstrates Data Switching Functions
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    Chapter 184 A New Stochastic Learning Algorithm for Analog Hardware Implementation
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    Chapter 185 An Analog Neural Signal Processor for Embedded Applications
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    Chapter 186 The NeuroAccess System
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    Chapter 187 Recognizing Handwritten Digits with a Dedicated Analog VLSI Feature Extractor
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Title
ICANN 98
Published by
Springer, January 1998
DOI 10.1007/978-1-4471-1599-1
ISBNs
978-3-54-076263-8, 978-1-4471-1599-1
Editors

Niklasson, Lars, Bodén, Mikael, Ziemke, Tom

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Bachelor 3 27%
Student > Master 2 18%
Lecturer 1 9%
Student > Ph. D. Student 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 4 36%
Engineering 3 27%
Medicine and Dentistry 1 9%
Business, Management and Accounting 1 9%
Unknown 2 18%