Connectionist models of neurons, learning processes, and artificial intelligence

TL;DR: Learning and Other Plasticity Phenomena, and Complex Systems Dynamics.

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