Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001 Proceedings, Part 1

Underlying Most Of The Iwann Calls For Papers Is The Aim To Reassume Some Of The Motivations Of The Groundwork Stages Of Biocybernetics And The Later Bionics Formulations And To Try To Reconsider The Present Value Of Two Basic Questions. The?rstoneis:“whatdoesneurosciencebringintocomputation(thenew Bionics)?” That Is To Say, How Can We Seek Inspiration In Biology? Titles Such As “computational Intelligence”, “arti?cial Neural Nets”, “genetic Algorithms”, “evolutionary Hardware”, “evolutive Architectures”, “embryonics”, “sensory N- Romorphic Systems”, And “emotional Robotics” Are Representatives Of The Present Interest In “biological Electronics” (bionics). Thesecondquestionis:“whatcanreturncomputationtoneuroscience(the New Neurocybernetics)?” That Is To Say, How Can Mathematics, Electronics, C- Puter Science, And Arti?cial Intelligence Help The Neurobiologists To Improve Their Experimental Data Modeling And To Move A Step Forward Towards The Understa- Ing Of The Nervous System? Relevant Here Are The General Philosophy Of The Iwann Conferences, The Sustained Interdisciplinary Approach, And The Global Strategy, Again And Again To Bring Together Physiologists And Computer Experts To Consider The Common And Pertinent Questions And The Shared Methods To Answer These Questions. Foundations Of Connectionism And Biophysical Models Of Neurons -- Structural And Functional Models Of Neurons -- Learning And Other Plasticity Phenomena, And Complex Systems Dynamics -- Artificial Intelligence And Cognitive Processes. Edited By José Mira, Alberto Prieto. Dendrites: The Last-Generation Computers....Pages 1-13 Homogeneity in the Electrical Activity Pattern as a Function of Intercellular Coupling in Cell Networks....Pages 14-20 A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus....Pages 21-29 Algorithmic Extraction of Morphological Statistics from Electronic Archives of Neuroanatomy....Pages 30-37 What Can We Compute with Lateral Inhibition Circuits?....Pages 38-46 Neuronal Models with Current Inputs....Pages 47-54 Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory....Pages 55-62 Numerical Study of Effects of Co-transmission by Substance P and Acetylcholine on Synaptic Plasticity in Myenteric Neurons....Pages 63-71 Neurobiological Modeling of Bursting Response During Visual Attention....Pages 72-80 Sensitivity of Simulated Striate Neurons to Cross-Like Stimuli Based on Disinhibitory Mechanism....Pages 81-86 Synchronisation Mechanisms in Neuronal Networks....Pages 87-94 Detection of Oriented Repetitive Alternating Patterns in color Images....Pages 95-107 Synchronization in Brain — Assessment by Electroencephalographic Signals....Pages 108-116 Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neurons....Pages 117-125 A Neural Network Model of Working Memory (Processing of “What” and “Where” Information)....Pages 126-133 Orientation Selectivity of Intracortical Inhibitory Cells in the Striate Visual Cortex: A Computational Theory and a Neural Circuitry....Pages 134-141 Interpreting Neural Networks in the Frame of the Logic of Lukasiewicz....Pages 142-149 Time-Dispersive Effects in the J. Gonzalo’s Research on Cerebral Dynamics....Pages 150-157 Verifying Properties of Neural Networks....Pages 158-165 Algorithms and Implementation Architectures for Hebbian Neural Networks....Pages 166-173 The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting....Pages 174-183 The Chemical Metaphor in Neural Computation....Pages 184-195 The General Neural-Network Paradigm for Visual Cryptography....Pages 196-206 Π-DTB, Discrete Time Backpropagation with Product Units....Pages 207-214 Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources....Pages 215-222 Classification with Synaptic Radial Basis Units....Pages 223-234 A Randomized Hypercolumn Model and Gesture Recognition....Pages 235-242 Heterogeneous Kohonen Networks....Pages 243-252 Divided-Data Analysis in a Financial Case Classification with Multi-dendritic Neural Networks....Pages 253-268 Neuro Fuzzy Systems: State-of-the-Art Modeling Techniques....Pages 269-276 Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation....Pages 277-284 Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks....Pages 285-292 A Measure of Noise Immunity for Functional Networks....Pages 293-300 A Functional-Neural Network for Post-Nonlinear Independent Component Analysis....Pages 301-307 Optimal Modular Feedfroward Neural Nets Based on Functional Network Architectures....Pages 308-315 Optimal Transformations in Multiple Linear Regression Using Functional Networks....Pages 316-324 Generalization Error and Training Error at Singularities of Multilayer Perceptrons....Pages 325-332 Bistable Gradient Neural Networks: Their Computational Properties....Pages 333-338 Inductive Bias in Recurrent Neural Networks....Pages 339-346 Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks....Pages 347-354 Expansive and Competitive Neural Networks....Pages 355-362 Fast Function Approximation with Hierarchical Neural Networks and Their Application to a Reinforcement Learning Agent....Pages 363-369 Two Dimensional Evaluation Reinforcement Learning....Pages 370-377 Comparing the Learning Processes of Cognitive Distance Learning and Search Based Agent....Pages 378-385 Selective Learning for Multilayer Feedforward Neural Networks....Pages 386-393 Connectionist Models of Cortico-Basal Ganglia Adaptive Neural Networks During Learning of Motor Sequential Procedures....Pages 394-401 Practical Consideration on Generalization Property of Natural Gradient Learning....Pages 402-409 Novel Training Algorithm Based on Quadratic Optimisation Using Neural Networks....Pages 410-417 Non-symmetric Support Vector Machines....Pages 418-426 Natural Gradient Learning in NLDA Networks....Pages 427-434 AUTOWISARD: Unsupervised Modes for the WISARD....Pages 435-441 Neural Steering: Difficult and Impossible Sequential Problems for Gradient Descent....Pages 442-449 Analysis of Scaling Exponents of Waken and Sleeping Stage in EEG....Pages 450-456 Model Based Predictive Control Using Genetic Algorithms. Application to Greenhouses Climate Control....Pages 457-465 Nonlinear Parametric Model Identification with Genetic Algorithms. Application to a Thermal Process....Pages 466-473 A Comparison of Several Evolutionary Heuristics for the Frequency Assignment Problem....Pages 474-481 GA Techniques Applied to Contour Search in Images of Bovine Livestock....Pages 482-489 Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information....Pages 490-497 RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting....Pages 498-505 Evolving RBF Neural Networks....Pages 506-513 Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures....Pages 514-521 A Recurrent Multivalued Neural Network for the N-Queens Problem....Pages 522-529 A Novel Approach to Self-Adaptation of Neuro-Fuzzy Controllers in Real Time....Pages 530-537 Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks....Pages 538-545 Studying Neural Networks of Bifurcating Recursive Processing Elements — Quantitative Methods for Architecture Design....Pages 546-553 Topology-Preserving Elastic Nets....Pages 554-560 Optimization with Linear Constraints in the Neural Network....Pages 561-569 Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules....Pages 570-578 Study of Chaos in a Simple Discrete Recurrence Neural Network....Pages 579-585 Genetic Algorithm versus Scatter Search and Solving Hard MAX-W-SAT Problems....Pages 586-593 A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)....Pages 594-601 Evolution of Firms in Complex Worlds: Generalized NK Model....Pages 602-611 Learning Adaptive Parameters with Restricted Genetic Optimization Method....Pages 612-620 Solving NP-Complete Problems with Networks of Evolutionary Processors....Pages 621-628 Using SOM for Neural Network Visualization....Pages 629-636 Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context....Pages 637-644 Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks....Pages 645-652 STAR - Sparsity through Automated Rejection....Pages 653-660 Ordinal Regression with K -SVCR Machines....Pages 661-668 Large Margin Nearest Neighbor Classifiers....Pages 669-676 Reduced Support Vector Selection by Linear Programs....Pages 677-684 Edge Detection in Noisy Images Using the Support Vector Machines....Pages 685-692 Initialization in Genetic Algorithms for Constraint Satisfaction Problems....Pages 693-700 Evolving High-Posterior Self-Organizing Maps....Pages 701-708 Using Statistical Techniques to Predict GA Performance....Pages 709-716 Multilevel Genetic Algorithm for the Complete Development of ANN....Pages 717-724 Graph Based GP Applied to Dynamical Systems Modeling....Pages 725-732 Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation....Pages 733-740 Continuous Function Optimisation via Gradient Descent on a Neural Network Approxmiation Function....Pages 741-748 An Evolutionary Algorithm for the Design of Hybrid Fiber Optic-Coaxial Cable Networks in Small Urban Areas....Pages 749-756 Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing....Pages 757-764 Seeing is Believing: Depictive Neuromodelling of Visual Awareness....Pages 765-771 DIAGEN-WebDB: A Connectionist Approach to Medical Knowledge Representation and Inference....Pages 772-782 Conceptual Spaces as Voltage Maps....Pages 783-790 Determining Hyper-planes to Generate Symbolic Rules....Pages 791-798 Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills....Pages 799-806 ANNs and the Neural Basis for General Intelligence....Pages 807-813 Knowledge and Intelligence....Pages 814-821 Conjecturing the Cognitive Plausibility of an ANN Theorem-Prover....Pages 822-829 This book constitutes, together with its companion, LNCS 2085, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain, in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and congnitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields