| Foundations of Connectionism and Biophysical Models of Neurons | |
| Dendrites: The Last-Generation Computers | p. 1 |
| Homogeneity in the Electrical Activity Pattern as a Function of Intercellular Coupling in Cell Networks | p. 14 |
| A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus | p. 21 |
| Algorithmic Extraction of Morphological Statistics from Electronic Archives of Neuroanatomy | p. 30 |
| What Can We Compute with Lateral Inhibition Circuits? | p. 38 |
| Neuronal Models with Current Inputs | p. 47 |
| Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory | p. 55 |
| Numerical Study of Effects of Co-transmission by Substance P and Acetylcholine on Synaptic Plasticity in Myenteric Neurons | p. 63 |
| Neurobiological Modeling of Bursting Response During Visual Attention | p. 72 |
| Sensitivity of Simulated Striate Neurons to Cross-Like Stimuli Based on Disinhibitory Mechanism | p. 81 |
| Synchronisation Mechanisms in Neuronal Networks | p. 87 |
| Detection of Oriented Repetitive Alternating Patterns in Color Images (A Computational Model of Monkey Grating Cells) | p. 95 |
| Synchronization in Brain - Assessment by Electroencephalographic Signals | p. 108 |
| Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neurons | p. 117 |
| Structural and Functional Models of Neurons | |
| A Neural Network Model of Working Memory (Processing of "What" and "Where" Information) | p. 126 |
| Orientation Selectivity of Intracortical Inhibitory Cells in the Striate Visual Cortex: A Computational Theory and a Neural Circuitry | p. 134 |
| Interpreting Neural Networks in the Frame of the Logic of Lukasiewicz | p. 142 |
| Time-Dispersive Effects in the J. Gonzalo's Research on Cerebral Dynamics | p. 150 |
| Verifying Properties of Neural Networks | p. 158 |
| Algorithms and Implementation Architectures for Hebbian Neural Networks | p. 166 |
| The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting | p. 174 |
| The Chemical Metaphor in Neural Computation | p. 184 |
| The General Neural-Network Paradigm for Visual Cryptography | p. 196 |
| $$-DTB, Discrete Time Backpropagation with Product Units | p. 207 |
| Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources | p. 215 |
| Classification with Synaptic Radial Basis Units | p. 223 |
| A Randomized Hypercolumn Model and Gesture Recognition | p. 235 |
| Heterogeneous Kohonen Networks | p. 243 |
| Divided-Data Analysis in a Financial Case Classification with Multi-dendritic Neural Networks | p. 253 |
| Neuro Fuzzy Systems: State-of-the-Art Modeling Techniques | p. 269 |
| Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation | p. 277 |
| Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks | p. 285 |
| sure of Noise Immunity for Functional Networks | p. 293 |
| A Functional-Neural Network for Post-Nonlinear Independent Component Analysis | p. 301 |
| Optimal Modular Feedfroward Neural Nets Based on Functional Network Architectures | p. 308 |
| Optimal Transformations in Multiple Linear Regression Using Functional Networks | p. 316 |
| Learning and Other Plasticity Phenomena, and Complex Systems Dynamics | |
| Generalization Error and Training Error at Singularities of Multilayer Perceptrons | p. 325 |
| Bistable Gradient Neural Networks: Their Computational Properties | p. 333 |
| Inductive Bias in Recurrent Neural Networks | p. 339 |
| Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks | p. 347 |
| Expansive and Competitive Neural Networks | p. 355 |
| Fast Function Approximation with Hierarchical Neural Networks and Their Application to a Reinforcement Learning Agent | p. 363 |
| Two Dimensional Evaluation Reinforcement Learning | p. 370 |
| Comparing the Learning Processes of Cognitive Distance Learning and Search Based Agent | p. 378 |
| Selective Learning for Multilayer Feedforward Neural Networks | p. 386 |
| Connectionist Models of Cortico-Basal Ganglia Adaptive Neural Networks During Learning of Motor Sequential Procedures | p. 394 |
| Practical Consideration on Generalization Property of Natural Gradient Learning | p. 402 |
| Novel Training Algorithm Based on Quadratic Optimisation Using Neural Networks | p. 410 |
| Non-symmetric Support Vector Machines | p. 418 |
| Natural Gradient Learning in NLDA Networks | p. 427 |
| AUTOWISARD: Unsupervised Modes for the WISARD | p. 435 |
| Neural Steering: Difficult and Impossible Sequential Problems for Gradient Descent | p. 442 |
| Analysis of Scaling Exponents of Waken and Sleeping Stage in EEG | p. 450 |
| Model Based Predictive Control Using Genetic Algorithms. Application to Greenhouses Climate Control | p. 457 |
| Nonlinear Parametric Model Identification with Genetic Algorithms. Application to a Thermal Process | p. 466 |
| A Comparison of Several Evolutionary Heuristics for the Frequency Assignment Problem | p. 474 |
| GA Techniques Applied to Contour Search in Images of Bovine Livestock | p. 482 |
| Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information | p. 490 |
| RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting | p. 498 |
| Evolving RBF Neural Networks | p. 506 |
| Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures | p. 514 |
| A Recurrent Multivalued Neural Network for the N-Queens Problem | p. 522 |
| A Novel Approach to Self-Adaptation of Neuro-Fuzzy Controllers in Real Time | p. 530 |
| Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks | p. 538 |
| Studying Neural Networks of Bifurcating Recursive Processing Elements - Quantitative Methods for Architecture Design and Performance Analysis | p. 546 |
| Topology-Preserving Elastic Nets | p. 554 |
| Optimization with Linear Constraints in the Neural Network | p. 561 |
| Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules | p. 570 |
| Study of Chaos in a Simple Discrete Recurrence Neural Network | p. 579 |
| Genetic Algorithm versus Scatter Search and Solving Hard MAX-W-SAT Problems | p. 586 |
| A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA) | p. 594 |
| Evolution of Firms in Complex Worlds: Generalized NK Model | p. 602 |
| Learning Adaptive Parameters with Restricted Genetic Optimization Method | p. 612 |
| Solving NP-Complete Problems with Networks of Evolutionary Processors | p. 621 |
| Using SOM for Neural Network Visualization | p. 629 |
| Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context | p. 637 |
| Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks | p. 645 |
| STAR - Sparsity through Automated Rejection | p. 653 |
| Ordinal Regression with K-SVCR Machines | p. 661 |
| Large Margin Nearest Neighbor Classifiers | p. 669 |
| Reduced Support Vector Selection by Linear Programs | p. 677 |
| Edge Detection in Noisy Images Using the Support Vector Machines | p. 685 |
| Initialization in Genetic Algorithms for Constraint Satisfaction Problems | p. 693 |
| Evolving High-Posterior Self-Organizing Maps | p. 701 |
| Using Statistical Techniques to Predict GA Performance | p. 709 |
| Multilevel Genetic Algorithm for the Complete Development of ANN | p. 717 |
| Graph Based GP Applied to Dynamical Systems Modeling | p. 725 |
| Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation | p. 733 |
| Continuous Function Optimisation via Gradient Descent on a Neural Network Approxmiation Function | p. 741 |
| An Evolutionary Algorithm for the Design of Hybrid Fiber Optic-Coaxial Cable Networks in Small Urban Areas | p. 749 |
| Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing | p. 757 |
| Artificial Intelligence and Cognitive Processes | |
| Seeing is Believing: Depictive Neuromodelling of Visual Awareness | p. 765 |
| DIAGEN-WebDB: A Connectionist Approach to Medical Knowledge Representation and Inference | p. 772 |
| Conceptual Spaces as Voltage Maps | p. 783 |
| Determining Hyper-planes to Generate Symbolic Rules | p. 791 |
| Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills | p. 99 |
| ANNs and the Neural Basis for General Intelligence | p. 807 |
| Knowledge and Intelligence | p. 814 |
| Conjecturing the Cognitive Plausibility of an ANN Theorem-Prover | p. 822 |
| Author Index | p. 831 |
| Table of Contents provided by Publisher. All Rights Reserved. |
