Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Dendrites: The Last-Generation Computers
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   Chapter 2 Homogeneity in the Electrical Activity Pattern as a Function of Intercellular Coupling in Cell Networks
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   Chapter 3 A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus
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   Chapter 4 Algorithmic Extraction of Morphological Statistics from Electronic Archives of Neuroanatomy
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   Chapter 5 What Can We Compute with Lateral Inhibition Circuits?
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   Chapter 6 Neuronal Models with Current Inputs
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   Chapter 7 Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory
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   Chapter 8 Numerical Study of Effects of Co-transmission by Substance P and Acetylcholine on Synaptic Plasticity in Myenteric Neurons
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    Chapter 9 Neurobiological Modeling of Bursting Response During Visual Attention
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    Chapter 10 Sensitivity of Simulated Striate Neurons to Cross-Like Stimuli Based on Disinhibitory Mechanism
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    Chapter 11 Synchronisation Mechanisms in Neuronal Networks
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    Chapter 12 Detection of Oriented Repetitive Alternating Patterns in color Images
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    Chapter 13 Synchronization in Brain — Assessment by Electroencephalographic Signals
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    Chapter 14 Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neurons
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    Chapter 15 A Neural Network Model of Working Memory (Processing of “What” and “Where” Information)
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    Chapter 16 Orientation Selectivity of Intracortical Inhibitory Cells in the Striate Visual Cortex: A Computational Theory and a Neural Circuitry
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    Chapter 17 Interpreting Neural Networks in the Frame of the Logic of Lukasiewicz
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    Chapter 18 Time-Dispersive Effects in the J. Gonzalo’s Research on Cerebral Dynamics
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    Chapter 19 Verifying Properties of Neural Networks
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    Chapter 20 Algorithms and Implementation Architectures for Hebbian Neural Networks
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    Chapter 21 The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting
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    Chapter 22 The Chemical Metaphor in Neural Computation
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    Chapter 23 The General Neural-Network Paradigm for Visual Cryptography
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    Chapter 24 Π-DTB, Discrete Time Backpropagation with Product Units
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    Chapter 25 Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources
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    Chapter 26 Classification with Synaptic Radial Basis Units
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    Chapter 27 A Randomized Hypercolumn Model and Gesture Recognition
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    Chapter 28 Heterogeneous Kohonen Networks
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    Chapter 29 Divided-Data Analysis in a Financial Case Classification with Multi-dendritic Neural Networks
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    Chapter 30 Neuro Fuzzy Systems: State-of-the-Art Modeling Techniques
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    Chapter 31 Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation
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    Chapter 32 Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks
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    Chapter 33 A Measure of Noise Immunity for Functional Networks
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    Chapter 34 A Functional-Neural Network for Post-Nonlinear Independent Component Analysis
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    Chapter 35 Optimal Modular Feedfroward Neural Nets Based on Functional Network Architectures
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    Chapter 36 Optimal Transformations in Multiple Linear Regression Using Functional Networks
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    Chapter 37 Generalization Error and Training Error at Singularities of Multilayer Perceptrons
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    Chapter 38 Bistable Gradient Neural Networks: Their Computational Properties
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    Chapter 39 Inductive Bias in Recurrent Neural Networks
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    Chapter 40 Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks
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    Chapter 41 Expansive and Competitive Neural Networks
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    Chapter 42 Fast Function Approximation with Hierarchical Neural Networks and Their Application to a Reinforcement Learning Agent
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    Chapter 43 Two Dimensional Evaluation Reinforcement Learning
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    Chapter 44 Comparing the Learning Processes of Cognitive Distance Learning and Search Based Agent
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    Chapter 45 Selective Learning for Multilayer Feedforward Neural Networks
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    Chapter 46 Connectionist Models of Cortico-Basal Ganglia Adaptive Neural Networks During Learning of Motor Sequential Procedures
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    Chapter 47 Practical Consideration on Generalization Property of Natural Gradient Learning
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    Chapter 48 Novel Training Algorithm Based on Quadratic Optimisation Using Neural Networks
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    Chapter 49 Non-symmetric Support Vector Machines
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    Chapter 50 Natural Gradient Learning in NLDA Networks
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    Chapter 51 AUTOWISARD: Unsupervised Modes for the WISARD
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    Chapter 52 Neural Steering: Difficult and Impossible Sequential Problems for Gradient Descent
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    Chapter 53 Analysis of Scaling Exponents of Waken and Sleeping Stage in EEG
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    Chapter 54 Model Based Predictive Control Using Genetic Algorithms. Application to Greenhouses Climate Control
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    Chapter 55 Nonlinear Parametric Model Identification with Genetic Algorithms. Application to a Thermal Process
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    Chapter 56 A Comparison of Several Evolutionary Heuristics for the Frequency Assignment Problem
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    Chapter 57 GA Techniques Applied to Contour Search in Images of Bovine Livestock
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    Chapter 58 Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information
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    Chapter 59 RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting
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    Chapter 60 Evolving RBF Neural Networks
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    Chapter 61 Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures
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    Chapter 62 A Recurrent Multivalued Neural Network for the N-Queens Problem
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    Chapter 63 A Novel Approach to Self-Adaptation of Neuro-Fuzzy Controllers in Real Time
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    Chapter 64 Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks
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    Chapter 65 Studying Neural Networks of Bifurcating Recursive Processing Elements — Quantitative Methods for Architecture Design
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    Chapter 66 Topology-Preserving Elastic Nets
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    Chapter 67 Optimization with Linear Constraints in the Neural Network
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    Chapter 68 Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules
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    Chapter 69 Study of Chaos in a Simple Discrete Recurrence Neural Network
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    Chapter 70 Genetic Algorithm versus Scatter Search and Solving Hard MAX-W-SAT Problems
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    Chapter 71 A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
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    Chapter 72 Evolution of Firms in Complex Worlds: Generalized NK Model
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    Chapter 73 Learning Adaptive Parameters with Restricted Genetic Optimization Method
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    Chapter 74 Solving NP-Complete Problems with Networks of Evolutionary Processors
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    Chapter 75 Using SOM for Neural Network Visualization
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    Chapter 76 Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context
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    Chapter 77 Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks
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    Chapter 78 STAR - Sparsity through Automated Rejection
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    Chapter 79 Ordinal Regression with K -SVCR Machines
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    Chapter 80 Large Margin Nearest Neighbor Classifiers
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    Chapter 81 Reduced Support Vector Selection by Linear Programs
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    Chapter 82 Edge Detection in Noisy Images Using the Support Vector Machines
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    Chapter 83 Initialization in Genetic Algorithms for Constraint Satisfaction Problems
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    Chapter 84 Evolving High-Posterior Self-Organizing Maps
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    Chapter 85 Using Statistical Techniques to Predict GA Performance
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    Chapter 86 Multilevel Genetic Algorithm for the Complete Development of ANN
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    Chapter 87 Graph Based GP Applied to Dynamical Systems Modeling
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    Chapter 88 Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation
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    Chapter 89 Continuous Function Optimisation via Gradient Descent on a Neural Network Approxmiation Function
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    Chapter 90 An Evolutionary Algorithm for the Design of Hybrid Fiber Optic-Coaxial Cable Networks in Small Urban Areas
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    Chapter 91 Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing
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    Chapter 92 Seeing is Believing: Depictive Neuromodelling of Visual Awareness
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    Chapter 93 DIAGEN-WebDB: A Connectionist Approach to Medical Knowledge Representation and Inference
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    Chapter 94 Conceptual Spaces as Voltage Maps
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    Chapter 95 Determining Hyper-planes to Generate Symbolic Rules
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    Chapter 96 Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills
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    Chapter 97 ANNs and the Neural Basis for General Intelligence
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    Chapter 98 Knowledge and Intelligence
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     Chapter 99 Conjecturing the Cognitive Plausibility of an ANN Theorem-Prover