Artificial Neural Networks — ICANN 96

Table of Contents

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   Book Overview
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   Chapter 1 Application of Artificial Neural Networks in Particle Physics
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   Chapter 2 Evolutionary computation — History, status, and perspectives
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   Chapter 3 Temporal structure of cortical activity
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   Chapter 4 SEE-1 — A vision system for use in real world environments
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   Chapter 5 Towards integration of nerve cells and silicon devices
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   Chapter 6 Unifying perspectives on neuronal codes and processing
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   Chapter 7 Visual recognition based on coding in temporal cortex: Analysis of pattern configuration and generalisation across viewing conditions without mental rotation
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   Chapter 8 A novel encoding strategy for associative memory
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    Chapter 9 Autoassociative memory with high storage capacity
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    Chapter 10 Artificial Neural Networks — ICANN 96
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    Chapter 11 Efficient learning in sparsely connected Boltzmann machines
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    Chapter 12 Incorporating invariances in support vector learning machines
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    Chapter 13 Estimating the reliability of neural network classifications
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    Chapter 14 Bayesian inference of noise levels in regression
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    Chapter 15 Complexity reduction in probabilistic neural networks
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    Chapter 16 Asymptotic complexity of an RBF NN for correlated data representation
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    Chapter 17 Regularization by early stopping in single layer perceptron training
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    Chapter 18 Clustering in weight space of feedforward nets
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    Chapter 19 Learning curves of on-line and off-line training
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    Chapter 20 Learning structure with Many-Take-All networks
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    Chapter 21 Dynamic feature linking in stochastic networks with short range interactions
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    Chapter 22 Collective dynamics of a system of adaptive velocity channels
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    Chapter 23 Local linear model trees for on-line identification of time-variant nonlinear dynamic systems
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    Chapter 24 Nonparametric data selection for improvement of parametric neural learning: A cumulant-surrogate method
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    Chapter 25 Prediction of mixtures
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    Chapter 26 Learning dynamical systems produced by recurrent neural networks
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    Chapter 27 Purely local neural Principal Component and Independent Component Learning
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    Chapter 28 How fast can neuronal algorithms match patterns?
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    Chapter 29 An annealed ‘neural gas’ network for robust vector quantization
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    Chapter 30 Associative completion and investment learning using PSOMs
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    Chapter 31 GTM: A principled alternative to the Self-Organizing Map
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    Chapter 32 Creating term associations using a hierarchical ART architecture
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    Chapter 33 Architecture selection through statistical sensitivity analysis
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    Chapter 34 Regression by topological map: Application on real data
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    Chapter 35 Signal processing by neural networks to create “virtual” sensors and model-based diagnostics
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    Chapter 36 Development of an advisory system based on a neural network for the operation of a coal fired power plant
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    Chapter 37 Blast furnace analysis with neural networks
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    Chapter 38 Diagnosis tools for telecommunication network traffic management
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    Chapter 39 Adaptive saccade control of a Binocular Head with Dynamic Cell Structures
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    Chapter 40 Learning fine motion by using the Hierarchical Extended Kohonen Map
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    Chapter 41 Subspace dimension selection and averaged learning subspace method in handwritten digit classification
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    Chapter 42 A dual route neural net approach to grapheme-to-phoneme conversion
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    Chapter 43 Separating EEG spike-clusters in epilepsy by a growing and splitting net
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    Chapter 44 Optimal texture feature selection for the co-occurrence map
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    Chapter 45 Comparison of view-based object recognition algorithms using realistic 3D models
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    Chapter 46 Color-calibration of a robot vision system using self-organizing feature maps
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    Chapter 47 Neural network model for maximum ozone concentration prediction
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    Chapter 48 Very large two-level SOM for the browsing of newsgroups
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    Chapter 49 Automatic Part-Of-Speech tagging of Thai corpus using neural networks
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    Chapter 50 Reproducing a subjective classification scheme for atmospheric circulation patterns over the United Kingdom using a neural network
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    Chapter 51 Two gradient descent algorithms for blind signal separation
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    Chapter 52 Classification rejection by prediction
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    Chapter 53 Application of Radial Basis Function Neural Networks to odour sensing using a broad specificity array of conducting polymers
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    Chapter 54 A hybrid object recognition architecture
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    Chapter 55 Robot learning in analog neural hardware
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    Chapter 56 Visual gesture recognition by a modular neural system
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    Chapter 57 Tracking and learning graphs on image sequences of faces
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    Chapter 58 Neural network model recalling spatial maps
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    Chapter 59 Neural field dynamics for motion perception
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    Chapter 60 Analytical technique for deriving connectionist representations of symbol structures
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    Chapter 61 Modeling human word recognition with sequences of artificial neurons
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    Chapter 62 A connectionist variation on inheritance
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    Chapter 63 Mapping of multilayer perceptron networks to partial tree shape parallel neurocomputer
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    Chapter 64 Linearly expandable partial tree shape architecture for parallel neurocomputer
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    Chapter 65 A high-speed scalable CMOS current-mode Winner-Take-All network
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    Chapter 66 An architectural study of a massively parallel processor for convolution-type operations in complex vision tasks
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    Chapter 67 FPGA implementation of an adaptable-size neural network
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    Chapter 68 Extraction of coherent information from non-overlapping receptive fields
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    Chapter 69 Cortico-tectal interactions in the cat visual system
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    Chapter 70 Detecting and measuring higher order synchronization among neurons: A Bayesian approach
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    Chapter 71 Analyzing the formation of structure in high-dimensional Self-Organizing Maps reveals differences to feature map models
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    Chapter 72 Precise restoration of cortical orientation maps explained by hebbian dynamics of geniculocortical connections
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    Chapter 73 Modification of Kohonen's SOFM to simulate cortical plasticity induced by coactivation input patterns
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    Chapter 74 Cortical map development driven by spontaneous retinal activity waves
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    Chapter 75 Simplifying neural networks for controlling walking by exploiting physical properties
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    Chapter 76 Saccade control through the collicular motor map: Two-dimensional neural field model
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    Chapter 77 Plasticity of neocortical synapses enables transitions between rate and temporal coding
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    Chapter 78 Controlling the speed of synfire chains
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    Chapter 79 Temporal compositional processing by a DSOM hierarchical model
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    Chapter 80 A genetic model and the Hopfield networks
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    Chapter 81 Desaturating coefficient for projection learning rule
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    Chapter 82 Getting more information out of SDM
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    Chapter 83 Using a general purpose meta neural network to adapt a parameter of the quickpropagation learning rule
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    Chapter 84 Unsupervised learning of the minor subspace
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    Chapter 85 A unification of Genetic Algorithms, Neural Networks and Fuzzy Logic: The GANNFL Approach
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    Chapter 86 Active learning of the generalized high-low-game
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    Chapter 87 Optimality of pocket algorithm
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    Chapter 88 Improvements and extensions to the constructive algorithm CARVE
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    Chapter 89 Annealed RNN learning of finite state automata
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    Chapter 90 A hierarchical learning rule for independent component analysis
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    Chapter 91 Improving neural network training based on Jacobian rank deficiency
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    Chapter 92 Neural networks for exact constrained optimization
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    Chapter 93 Capacity of structured multilayer networks with shared weights
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    Chapter 94 Optimal weight decay in a perceptron
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    Chapter 95 Bayesian regularization in constructive neural networks
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    Chapter 96 A nonlinear discriminant algorithm for data projection and feature extraction
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    Chapter 97 A modified spreading algorithm for autoassociation in weightless neural networks
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    Chapter 98 Analysis of multi-fluorescence signals using a modified Self-Organizing Feature Map
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     Chapter 99 Visualizing similarities in high dimensional input spaces with a growing and splitting neural network
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     Chapter 100 A neural lexical post-processor for improved neural predictive word recognition
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     Chapter 101 Solving nonlinear MBPC through convex optimization: A comparative study using neural networks
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     Chapter 102 Combining statistical models for protein secondary structure prediction
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     Chapter 103 Using RBF-nets in rubber industry process control
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     Chapter 104 Towards autonomous robot control via self-adapting recurrent networks
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     Chapter 105 A hierarchical network for learning robust models of kinematic chains
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     Chapter 106 Context-based cognitive map learning for an autonomous robot using a model of cortico-hippocampal interplay
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     Chapter 107 An algorithm for bootstrapping the core of a biologically inspired motor control system
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     Chapter 108 Automatic recalibration of a space robot: An industrial prototype
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     Chapter 109 Population coding in cat visual cortex reveals nonlinear interactions as predicted by a neural field model
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     Chapter 110 Representing multidimensional stimuli on the cortex
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     Chapter 111 An analysis and interpretation of the oscillatory behaviour of a model of the granular layer of the cerebellum
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     Chapter 112 The cerebellum as a “coupling machine”
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     Chapter 113 The possible function of dopamine in associative learning: A computational model
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     Chapter 114 Signatures of dynamic cell assemblies in monkey motor cortex
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     Chapter 115 Modelling speech processing and recognition in the auditory system with a three-stage architecture
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     Chapter 116 Binding — A proposed experiment and a model
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     Chapter 117 A reduced model for dendritic trees with active membrane
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     Chapter 118 Stabilizing competitive learning during on-line training with an anti-Hebbian weight modulation
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     Chapter 119 Neuro-biological bases for spatio-temporal data coding in artificial neural networks
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     Chapter 120 A spatio-temporal learning rule based on the physiological data of LTP induction in the hippocampal CA1 network
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     Chapter 121 Learning novel views to a single face image
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     Chapter 122 A parallel algorithm for depth perception from radial optical flow fields
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     Chapter 123 Comparing facial line drawings with gray-level images: A case study on PHANTOMAS
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     Chapter 124 Geometrically constrained optical flow estimation by an Hopfield neural network
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     Chapter 125 Serial binary addition with polynormally bounded weights
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     Chapter 126 Evaluation of the two different interconnection networks of the CNAPS neurocomputer
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     Chapter 127 Intrinsic and parallel performances of the OWE neural network architecture
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     Chapter 128 An analog CMOS neural network with on-chip learning and multilevel weight storage
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     Chapter 129 Exponential hebbian on-line learning implemented in FPGAs
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     Chapter 130 An information-theoretic measure for the classification of time series
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     Chapter 131 Transformation of neural oscillators
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     Chapter 132 Analysis of drifting dynamics with competing predictors
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     Chapter 133 Inverse dynamics controllers for robust control: Consequences for neurocontrollers
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     Chapter 134 A local connected neural oscillator network for pattern segmentation
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     Chapter 135 Approximation errors of state and output trajectories using recurrent neural networks
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     Chapter 136 Comparing self-organizing maps
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     Chapter 137 Nonlinear Independent Component Analysis by self-organizing maps
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     Chapter 138 Building nonlinear data models with self-organizing maps
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     Chapter 139 A parameter-free non-growing self-organizing map based upon gravitational principles: Algorithm and applications
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     Chapter 140 Topological maps for mixture densities
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     Chapter 141 A novel algorithm for image segmentation using time dependent interaction probabilities
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     Chapter 142 Reconstruction from graphs labeled with responses of Gabor filters
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     Chapter 143 Edge information: A confidence based algorithm emphazising continuous curves
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     Chapter 144 Neural model of cortical dynamics in resonant boundary detection and grouping
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     Chapter 145 A neural clustering algorithm for estimating visible articulatory trajectory
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     Chapter 146 Binary spatter-coding of ordered K -tuples
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     Chapter 147 A hybrid approach to natural language parsing
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     Chapter 148 A self-organizing neural network approach for the acquisition of phonetic categories
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     Chapter 149 Inward relearning: A step towards long-term memory
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     Chapter 150 Neural modelling of cognitive disinhibition and neurotransmitter dysfunction in OCD
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     Chapter 151 Confluent preorder parser as finite state automata
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     Chapter 152 Modeling psychological stereotypes in self-organizing maps