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ICANN ’93

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Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Dynamic Coupling in Cortical Neural Networks
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    Chapter 2 Keeping Neural Networks Simple
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    Chapter 3 The Autoassociative Hypothesis Places Constraints on Hippocampal Organization
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    Chapter 4 Metastability of Network Attractor and Dream Sleep
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    Chapter 5 Somatosensory Cortical Maps: Reorganization Following Post-Ontogenetic Plasticity — Experiments and Theory
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    Chapter 6 Adequate Input for Learning in Attractor Neural Networks
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    Chapter 7 Neurobiological Modelling and Structured Neural Networks
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    Chapter 8 Model Analysis of Associative Learning in The Photoreceptor of Marine Mollusc, Hermissenda Crassicornis
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    Chapter 9 A Neural Network Model for Motor Shapes Learning and Programming
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    Chapter 10 Learning Through Adaptive Value: A Model Working in a Variable Environment
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    Chapter 13 Detection of Coincidences and Generation of Hypotheses — a Proposal for an Elementary Cortical Function
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    Chapter 15 Adaptive Non-Uniform A/D Conversion Achieved with an Unsupervised Learning Rule Maximizing Information-Theoretic Entropy
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    Chapter 16 Optimal Topology-Preservation Using Self-Organising Logical Neural Networks
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    Chapter 17 Incorporation of Neurobiological Aspects of Aplysia’s Associative Conditioning in Neural Networks for on-line Pattern Detection
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    Chapter 18 Description on the Use of the Autogenerative Nodal Memory Model (ANM) as Controlling Element of an Autonomously Responsive System
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    Chapter 20 Neural Representation of Saccadic Eye Movements in Monkey Superior Colliculus
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    Chapter 21 A Self-organizing Neural Network for Learning A Body-centered Invariant Representation of 3-D Target Position
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    Chapter 22 Dynamic Field Approach to Target Selection in Gaze Control
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    Chapter 23 Differences in Synaptic Input and Excitability Between Superficial and Deep Pyramidal Cells in the Cat Sensorimotor Cortex
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    Chapter 25 A Neural Network Model for Spatial Information Representation
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    Chapter 26 A Dynamical Model for the Generation of Curved Trajectories
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    Chapter 28 Activation and Contraction of a Muscle
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    Chapter 29 Correlated Neuronal Activity and Behavior
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    Chapter 30 Map Structure from Pinwheel Position
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    Chapter 31 Emergence of Transient Oscillations in an Ensemble of Neurons
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    Chapter 32 A Distributed Multicolumnar System for Primary Cortical Analysis of Real-World Scenes
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    Chapter 34 A New Model for Spatial Frequency and Orientation Tuning in the Visual Cortex based on Delayed Inputs from the Retina
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    Chapter 36 Hidden Assembly Dynamics and Correlated Neuronal Responses
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    Chapter 37 A Model for Latencies in the Visual System
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    Chapter 39 Activity-Dependent Modification of Intrinsic Neuronal Properties
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    Chapter 40 Implications of Activity-Dependent Neurite Outgrowth for Developing Neural Networks
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    Chapter 41 PCA Properties of Interneurons
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    Chapter 44 A Computer Simulation Model of Backwards Feedback Across Synapse Via Arachidonic Acid
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    Chapter 46 Simulation Study on Calcium-Activated Dynamics of Compartment Dendrite Model
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    Chapter 47 On the Adapative Capabilities of Pulse-Coded Cable Neurons
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    Chapter 48 A Local Approximation of the Cable Equation for Implementing a Local Interaction Model
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    Chapter 49 Effects of Glutamate Uptake on the Response Dynamics of the Retinal Horizontal Cell
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    Chapter 50 Neural Networks for Robot Eye-Hand Coordination
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    Chapter 51 Unsupervised Formation of Feature Detectors Using Residual Inputs
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    Chapter 52 Geometry-Driven Diffusion: Coupled Diffusion Maps as a Model for Excitatory and Inhibitory Behaviour in Vision
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    Chapter 53 SPIN Learning and Forgetting Surface Classifications with Dynamic Neural Networks
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    Chapter 55 Stability and Convergence Control in Cooperative Integration Networks
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    Chapter 56 Towards a Neural Architecture for Unified Visual Contrast and Brightness Perception
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    Chapter 57 Fuzzy Kohonen Clustering Networks for Reducing Search Space in 3-D Object Recognition
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    Chapter 58 An Active Resistor Mesh Embedding Cortical Visual Processing
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    Chapter 59 A Fast BCS/FCS Algorithm for Image Segmentation
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    Chapter 60 Neural Architecture for Robot Planning
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    Chapter 61 From Situations to Actions: Motion Behavior Learning by Self-Organization
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    Chapter 62 Application of Q-Learning in Robot Grasping Tasks
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    Chapter 68 First Results on Stable Adaptive Robot Control with RBF Networks
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    Chapter 69 Fuzzy Inference, Radial Basis Functions, and Control of Flexible Robotic Manipulators
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    Chapter 70 A Recurrent Trajectory Storage Network with Parceling of the Workspace
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    Chapter 71 Node Allocation and Topographical Encoding NATEnet for Inverse Kinematics of a 6-DOF Robot Arm
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    Chapter 72 Learning Optimal Control Using Neural Networks
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    Chapter 73 A boolean net as an adaptive and universal robot control
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    Chapter 74 Transforming Occupancy Grids Under Robot Motion
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    Chapter 75 Complex Tasks and Robots
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    Chapter 77 Integration of Artificial Neural Networks and Dynamic Concepts to an Adaptive and Self-Organizing Agent
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    Chapter 78 Learning Fuzzy Production Rules For Approximate Reasoning In Connectionist Production Systems
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    Chapter 80 Spectral Timing and Integration of Multimodal Systemic Processes
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    Chapter 81 Net-to-Rule Transformation Using Penalty Functions
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    Chapter 83 Neural/Iconic Understanding of the Visual World
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    Chapter 85 Symbol-Manipulation with Attractor Neural Networks
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    Chapter 86 A Consideration on Visual Strategy of Fovea and Saccadic Movement from Experimental Results
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    Chapter 89 Activity Curvature: A new Approach to Perception
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    Chapter 90 An Outline for a Theory of the Emotions
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    Chapter 92 Continuous Speech Recognition Predictive Systems
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    Chapter 93 Handling Context-Dependencies in Speech by LVQ
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    Chapter 94 An Analytically Transparent Network for Sequence Recognition
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    Chapter 96 An Extended Kohonen Feature Map for Sentence Recognition
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    Chapter 97 Neural Nets that Discuss: A General Model of Communication Based on Self-Organizing Maps
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    Chapter 98 Neural Network and Nearest Neighbor Comparison of Speaker Normalization Methods for Vowel Recognition
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    Chapter 99 Speech Recognition by Hierarchical Segment Classification
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    Chapter 100 Visualization and Classification of Voice Quality with the Self-Organizing Map
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    Chapter 101 Weighted Distance Measure for Speaker-Independent Digit Recognition with Hidden-Control Neural Network
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    Chapter 102 Modulation-Frequency Encoding of Speech with Applications to Neural Speech Recognizers
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    Chapter 103 Functional Compositionality: a G.N.U. Approach
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    Chapter 104 Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps
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    Chapter 105 Approximating Optimal Information Transmission using Local Hebbian Algorithms in a Double Feedback Loop
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    Chapter 106 Time-Varying Neural Networks for Large Tasks
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    Chapter 107 A ‘Self-Referential’ Weight Matrix
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    Chapter 108 Neural Network Complexity Reduction Using Adaptive Polynomial Activation Functions
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    Chapter 109 FIELDNET, A Dynamic Network For Pattern Classification
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    Chapter 110 Reducing the Ratio Between Learning Complexity and Number of Time Varying Variables in Fully Recurrent Nets
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    Chapter 111 Deletion of Trained Patterns by Incremental Learning in Artificial Neural Network using Fahlman-Lebiere Learning Algorithm
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    Chapter 112 Cascade Neural Network Developed for Time Series Prediction
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    Chapter 114 Modified CMAC Neural Network Architectures for Nonlinear Dynamic System Modelling
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    Chapter 115 Preliminary Results on Adaptively Trained Neural Networks
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    Chapter 116 Networks for Learning and Differentiating an Input-Output Mapping
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    Chapter 117 Design vs. Training of Neural Machines
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    Chapter 118 Counterexample of Witsenhausen Under Set-Bounded Model of Uncertainty and its Neural Net Solver
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    Chapter 120 High-Order Boltzmann Machines for MAX-SAT and SAT
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    Chapter 121 EBP Algorithm Can Work with Hard Limiters
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    Chapter 122 Stochastic Neural Networks
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    Chapter 123 A Neurophysiologically Motivated Neural Network Model and its Application to the Superposition Problem
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    Chapter 124 A Symmetrical Lateral Inhibition Network for PCA and Feature Decorrelation
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    Chapter 126 Prove of Convergence of Extended Divide & Conquer Networks
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    Chapter 127 Monotonic Incrementation of Backpropagation Networks
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    Chapter 128 A Multi-Layer Extension of a Bayesian Neural Network
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    Chapter 129 YPROP: Yet Another Accelerating Technique for the Back Propagation
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    Chapter 130 Automatic Construction of Multilayer Networks for Non Linear Regression
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    Chapter 132 Supervised Learning for Decorrelated Gaussian Networks
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    Chapter 133 Associative Memories that can form Hypotheses: Phase coded Network Architectures
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    Chapter 134 A Formal Link between Multilayer Perceptrons and a Generalization of Linear Discriminant Analysis
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    Chapter 136 Defanet2 — Advancements of a Deterministic Function Approximator
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    Chapter 138 A Fuzzy Neural Architecture for Supervised Learning and Classification of Temporal Sequences
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    Chapter 139 Hierarchical Reinforcement Learning
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    Chapter 140 Connectivity Maximization of Layered Neural Networks for Supervised Learning
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    Chapter 141 The Overlapped Tessellation a Supervised Neural Rule
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    Chapter 142 IABP: Interval Arithmetic Backpropagation
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    Chapter 143 Architecture of Associative Memory with Reduced Cross Talk and Its Performance Formulation
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    Chapter 144 Augmentation of Generalisation in Probabilistic Logic Nets
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    Chapter 145 Fuzzy Expert Networks
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    Chapter 147 Brownian Motion Updating of Multi-layered Perceptrons
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    Chapter 148 Guaranteed Convergence of Learning in Neural Networks
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    Chapter 150 The Lower Bound of the Capacity for a Neural Network with Multiple Hidden Layers
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    Chapter 151 A method for finding the optimal number of learning samples and hidden units for function approximation with a feedforward network
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    Chapter 152 The N-2-N Encoder: A Matter of Representation
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    Chapter 155 Entropy of Perceptrons
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    Chapter 157 A Fast Training Algorithm for Feedforward Neural Networks
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    Chapter 158 Improvement of the Covergence of the Learning Using the Modified Back-propagation Method
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    Chapter 159 Parametrized Self-Organizing Maps
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    Chapter 160 Population Dynamics on the Basis of Vector Quantization: A Method for Auto-Association and Classification
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    Chapter 161 Vector Quantization with a Growing and Splitting Elastic Net
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    Chapter 162 Learning Topology-Preserving Maps Using Self-Supervised Backpropagation
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    Chapter 163 A Multiassociative Memory for Control
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    Chapter 164 Phase Transitions in Self-Organized Feature Maps
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    Chapter 165 Unsupervised Extraction of Predictable Abstract Features
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    Chapter 166 Genetic Algorithm with Migration on Topology Conserving Maps
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    Chapter 168 A Comparison Between Classical Unsupervised Classifiers and ART3 Neural Networks
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    Chapter 169 A Dynamic Procedure for Neural Network Design
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    Chapter 170 PCA in a Network with Full Lateral Connections
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    Chapter 172 SUSOM „SUpervised“ Self-Organizing Maps
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    Chapter 173 Synchrony in Integrate-and-Fire Networks
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    Chapter 175 Spikes or Rates? — Stationary, Oscillatory, and Spatio-temporal States in an Associative Network of Spiking Neurons
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    Chapter 176 Cooperative Stochastic Effects In Globally Coupled Bistable Elements
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    Chapter 177 Biologically Inspired Neural Network for Trajectory Formation and Obstacle Avoidance
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    Chapter 178 Catastrophic Phase Transitions in Exact ART Networks
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    Chapter 180 A Dynamically Generalising Weightless Neural Element
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    Chapter 181 Vector Quantization by Neuro-Dynamical System
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    Chapter 184 Hysteresis Phenomena and Bifurcation of Periodic Solutions in a Mathematical Model of Cortical Dynamics
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    Chapter 185 Computing Complexity of Symmetric Quadratic Neural Networks
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    Chapter 186 Topology Learning Solved by Extended Objects: A Neural Network Model
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    Chapter 189 Switching the Vector Field According to the Input of an Oscillatory Neural Network
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    Chapter 190 Processing of Information Encoded in Coupled One-Dimensional Maps
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    Chapter 191 Feedback in Single Continuous Neurons
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    Chapter 193 Chaos in Neural Networks at Nonlinear Synapses
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    Chapter 194 Stability Conditions for Nonlinear Continuous Random Neural Networks
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    Chapter 195 Optimal Classification with Multilayer Networks
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    Chapter 196 An Attractor Network Model for the Generation of Event-Related Potentials Using Integrative Synapses
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    Chapter 197 A Novel Liapunov Function for Additive Neural Networks
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    Chapter 198 Capacity and Error Correction Ability of Sparsely Encoded Associative Memory with Forgetting Process
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    Chapter 199 Defining the Attractor of a Recurrent Neural Network by Boolean Expressions
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    Chapter 200 Using Reduce for Replica Calculations
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    Chapter 201 Equilibrium Statistical Mechanics of Non-Symmetric Neural Networks
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    Chapter 203 Constraints on Learning in Dynamic Synapses
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    Chapter 204 Recursive Construction of Neural Networks with Long Periodic Behavior
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    Chapter 205 Phase-Space Gardening in the Binary-Couplings Memory Network
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    Chapter 206 The Relationship Between Choice Of Representation, Network Structure And Performance In Harmony Theory Networks
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    Chapter 208 Elimination of Overtraining by a Mutual Information Network
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    Chapter 210 Bounds on the Complexity of Testing and Loading Neurons
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    Chapter 211 Principal Hidden Unit Analysis with Minimum Entropy Method
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    Chapter 213 LS-Backpropagation Algorithm for Training Multilayer Perceptrons
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    Chapter 214 Do Backpropagation Trained Neural Networks have Normal Weight Distributions?
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    Chapter 215 A Constructive Algorithm for Binary Mapping
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    Chapter 216 BOXES Revisited
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    Chapter 217 Mathematical Properties Of Multi-Layer Adaptive Filters
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    Chapter 218 Weight Zero Enhancement In Speech Synthesis Using Neural Networks
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    Chapter 219 Biological Metaphors In Designing Modular Artificial Neural Networks
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    Chapter 220 Learning and Generalization Controlled by Contradiction
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    Chapter 221 Extraction of Symbolic Statements from Synaptic Weights
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    Chapter 222 A Novel Back Propagation Algorithm with Optimal Number of Hidden Units
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    Chapter 223 Two Neural Models for fast Category Learning — Neural Associative Memories and the Restricted Coulomb Energy Model
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    Chapter 224 Storage Capacity Results for Decomposed Structures of Generalizing RAM Nodes
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    Chapter 225 Novelty Detection and Neural Network Validation
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    Chapter 227 Hybrid Digital Signal Processing and Neural Networks for Automated Diagnostics Using Eddy Current Inspection
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    Chapter 229 Limitations of Adaptive Critic Control Schemes
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    Chapter 230 Periodic Disturbance Rejection: A Neural Network Approach
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    Chapter 231 Representation of Real-Valued Functions by a Three-Layered Artificial Neural Network with Topologically Ordered Input and Output Units
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    Chapter 232 Prediction of Reflectance Values: Towards the Integration of Neural and Conventional Colorimetry
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    Chapter 233 Neural Network Modeling and Prediction of Multivariate Time Series Using Predictive MDL Principle
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    Chapter 234 Dynamics of a Neural Network-based Financial Market
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    Chapter 235 Evolving Neuroeontrollers for Pole Balancing
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    Chapter 236 Backpropagation Vector Quantization for Satellite Coverage Plans Optimization
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    Chapter 237 Sequential Self-Organization for the Traveling Salesman Problem
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    Chapter 238 Invariant Process Control Using Neural Networks
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    Chapter 239 Optimal Control of Dynamic Systems Using Self-Organizing Maps
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    Chapter 240 Monitoring a Control System with a Hybrid Neural Network Architecture
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    Chapter 242 Modelling of Quality Properties in Paper Drying with Multilayer Perceptron Network
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    Chapter 243 Interpolation of Stationary Non-Linear Time Series by an Optimized Neural Network
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    Chapter 244 Two-Sensor Neural Network Modeling For Fault Detection
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    Chapter 245 Modelling The Fed Batch Fermentation Process Using Artificial Neural Networks
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    Chapter 246 Identification of Car Body Steel by an optical on line System and a Kohonen’s self-organizing Map
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    Chapter 247 Simulation of Pulsed Laser Material Processing Controlled by an Extended Self-Organizing Kohonen Feature Map
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    Chapter 249 Real-Time Nuclear Power Plant Monitoring with Adaptively Trained Neural Network
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    Chapter 250 Self Organized Feature Maps for Monitoring and Knowledge Aquisition of a Chemical Process
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    Chapter 252 Functional Electrical Stimulation with Neural Network Controlled State Feedback
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    Chapter 255 Neural Network Analysis of the Hungarian Party-State System
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    Chapter 256 Modelling Time-Varying Industrial Processes Using MLP Networks
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    Chapter 259 Building an Artificial Retina for Distance- and Orientation-Invariant Pattern Recognition
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    Chapter 260 MLP-RBF: A Cooperative Multi-Modular Neural Network Application in High-Energy Physics
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    Chapter 261 Operational Cloud Classifier Based on the Topological Feature Map
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    Chapter 262 Image Segmentation Using a Self-Organising Logical Neural Network
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    Chapter 264 Artificial Neural Networks Detect Subtle Differences Between Anesthetics
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    Chapter 265 Pattern Segmentation and Feature Linking as Simultaneous Processes in an Associative Network of Spiking Neurons
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    Chapter 266 Spatial Topology Distance for Handprinted Character Recognition
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    Chapter 267 Identification of Underwater Sonar Images Using Fuzzy-Neural Architecture FuNe I
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    Chapter 268 Fault Detection in Multivariate Time Series with a Coding Approach
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    Chapter 269 Practical Implementation of a Radial Basis Function Network for Handwritten Digit Recognition
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    Chapter 270 An Efficient Method of Neural Network Application to Recognizing of Handwritten Digits in Zip Codes
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    Chapter 271 The Application of Average Gradient Matrices for Fingerprint Classification using Neural Networks
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    Chapter 272 Neural Architectures for Motion Tracking
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    Chapter 273 A Multi-Agent Classifier Using Associative Networks in Parallel
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    Chapter 274 Handwritten Alphabet and Digit Character Recognition Using Skeleton Pattern Mapping with Structural Constraints
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    Chapter 276 Incremental Case-based Pattern Classifier
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    Chapter 277 Cepstral Blur Identification by Neural Network for Image Restoration Purpose
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    Chapter 278 Reduced Pattern Recognizing Neural Nets
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    Chapter 280 Detecting Abnormalities in MRI Images Using the Difference Method
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    Chapter 281 Neural Networks for the Echographic Diagnosis of Diffuse Liver Diseases
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    Chapter 282 Neural Networks and the Travelling Salesman Problem
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    Chapter 283 Automatically Structured Neural Networks For Handwritten Character And Word Recognition
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    Chapter 284 Tracking Rain Cells in Radar Images using Multilayer Neural Networks
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    Chapter 285 Neural Network Analysis of Plasma Spectra
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    Chapter 286 Monitoring EEG Signal with the Self-Organizing Map
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    Chapter 287 Invariant Pattern Recognition with Recovery of Transformation Parameters
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    Chapter 289 Performance of the Backpropagation Neural Network for Recognition of Radio Signals Using Time-Domain Features
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    Chapter 290 Conceptual Fuzzy Sets Application to Facial Expression Recognition using Associative Memory System
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    Chapter 291 Neocognitron with Non-uniform Receptive Fields
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    Chapter 292 Hand-Written Character Recognition by a Structured Self-Growing Neural Network “CombNET-II”
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    Chapter 293 Segmentation Of Image Sequences Using Self-Organising Feature Maps
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    Chapter 294 Combining Neural-Network and Statistical Methods in Seismic First-Arrival Picking
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    Chapter 295 A Study of Neural Network Input Data for Ground Cover Identification in Satellite Images
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    Chapter 296 On Generalization Ability of Cascaded Neural Net Architecture
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    Chapter 297 Assessing the Latency of Peak Pa in Auditory Evoked Potentials using Neural Networks
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    Chapter 298 A Self-organizing Network of Alterable Competitive Layer for Pattern Cluster
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    Chapter 300 Cognitive Grammar and Map Digitization
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    Chapter 302 Image Sequence Coding Using a Neural Vector Quantization
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    Chapter 303 Minimum Distance Pattern Classifiers Based On A New Distance Metric
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    Chapter 304 Knowledge Extraction by Self Organising Maps
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    Chapter 305 Application Of The Sensitivity Algorithm In Biological Fields
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    Chapter 306 Challenge of ANN to microelectronics
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    Chapter 307 Implementation of Million Connections Neural Hardware with URAN-I
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    Chapter 308 Multiprocessor and Memory Architecture of the Neurocomputer SYNAPSE-1
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    Chapter 309 COKOS: A COprocessor for KOhonen’s Selforganizing Map
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    Chapter 311 A Nonlinear Electronic Layer for Distributed Neural Nets
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    Chapter 312 How to Find a Near Optimal Mapping of Neural Networks onto Message Passing Multicomputers
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    Chapter 313 20 Million Patterns Per Second VLSI Neural Network Pattern Classifier
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    Chapter 314 High-Density Analog-EEPROM Based Neural Network
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    Chapter 315 A Simple Training Law Suitable for On-Chip Learning.
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    Chapter 316 Simulation of Neural Networks and Genetic Algorithms in a Distributed Computing Environment Using NeuroGraph
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    Chapter 317 A Parallel Implementation of the Back-Propagation of Errors Learning Algorithm on a SIMD Parallel Computer
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    Chapter 319 Mapping of Some Neural Network Algorithms to a General Purpose Parallel Neurocomputer
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    Chapter 321 A Generalized Recurrent Neural Network for Matrix Inversion
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    Chapter 322 On the Realization of Back-Propagation on a Transputer Based System
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    Chapter 324 NEUROCOBOL: A COBOL-like Neural Network Simulation Language Based on the Layer Macro Definition
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    Chapter 326 A Harmony Theory Network Solution To The N-Queens Problem
Attention for Chapter 1: Dynamic Coupling in Cortical Neural Networks
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Chapter title
Dynamic Coupling in Cortical Neural Networks
Chapter number 1
Book title
ICANN ’93
Published by
Springer, London, January 1993
DOI 10.1007/978-1-4471-2063-6_1
Book ISBNs
978-3-54-019839-0, 978-1-4471-2063-6
Authors

Ad Aertsen

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The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Master 2 25%
Researcher 2 25%
Student > Bachelor 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 50%
Physics and Astronomy 2 25%
Neuroscience 2 25%