Computational Methods in Neural Modeling

Biological Models.- Modeling Neuronal Firing in the Presence of Refractoriness.- A Study of the Action Potential Initiation Site Along the Axosomatodendritic Axis of Neurons Using Compartmental Models.- Real Neurons and Neural Computation: A Summary of Thoughts.- Synchronous firing in a population of inhibitory interneurons coupled by electrical and chemical synapses.- Stochastic Networks with Subthreshold Oscillations and Spiking Activity.- Selective Inactivation of Neuronal Dendritic Domains: Computational Approach to Steady Potential Gradients.- Intermittent burst synchronization in neural networks.- Diffusion Associative Network: Diffusive Hybrid Neuromodulation and Volume Learning.- The Minimum-Variance Theory Revisited.- Sleep and wakefulness in the cuneate nucleus: a computational study.- Effiects of different connectivity patterns in a model of cortical circuits.- A Digital Neural Model of Visual Deficits in Parkinson's Disease.- Intersensorial Summation as a Nonlinear Contribution to Cerebral Excitation.- Interacting Modalities through Functional Brain Modeling.- Life-long learning: consolidation of novel events into dynamic memory representations.- Functional Models.- Real-time Sound Source Localization and Separation based on Active Audio-Visual Integration.- Hierarchical Neuro-Fuzzy Systems.- A functional spiking neuron hardware oriented model.- SO(2)-Networks as Neural Oscillators.- A Rotated Kernel Probabilistic Neural Network (RKPNN) for Multi-class Classification.- Independent Residual Analysis for Temporally Correlated Signals.- MLP+H: a Hybrid Neural Architecture Formed by the Interaction of Hopfield and Multi-Layer Perceptron Neural Networks.- Linear unit relevance in multiclass NLDA networks.- Bootstrap for model selection: linear approximation of the optimism.- Learning.- A learning rule to model the development of orientation selectivity in visual cortex.- Sequence learning using the neural coding.- Improved Kernel Learning Using Smoothing Parameter Based Linear Kernel.- Automatic Car Parking: A Reinforcement Learning Approach.- Discriminative Training of the Scanning N-Tuple Classifier.- A Wrapper Approach with Support Vector Machines for Text Categorization.- Robust Expectation Maximization Learning Algorithm for Mixture of Experts.- Choosing among algorithms to improve accuracy.- Evolutionary Approach to Overcome Initialization Parameters in Classification Problems.- Text Categorisation Using a Partial-Matching Strategy.- A new learning method for single layer neural networks based on a regularized cost function.- A better selection of patterns in lazy learning radial basis neural networks.- An Iterative Fuzzy Prototype Induction Algorithm.- A Recurrent Multivalued Neural Network for codebook generation in Vector Quantization.- The recurrent IML-network.- Estimation of Multidimensional Regression Model with Multilayer Perceptrons.- Principal Components Analysis Competitive Learning.- Self-Organizing Systems.- Progressive Concept Formation in Self-organising Maps.- Supervised Classification with Associative SOM.- Neural Implementation of Dijkstra's Algorithm..- Spurious minima and basins of attraction in higher-order Hopfield networks.- Cooperative Co-evolution of Multilayer Perceptrons.- A statistical model of pollution-caused pulmonary crises.- A new penalty-based criterion for model selection in regularized nonlinear models.- Data Driven Multiple Neural Network Models Generator Based on a Tree-like Scheduler.- Performance-Enhancing Bifurcations in a Self-organising Neural Network.- A Competitive Neural Network based on dipoles.- An N-Parallel Multivalued Network: Applications to the Travelling Salesman Problem.- Parallel ACS for weighted MAX-SAT.- Learning to Generate Combinatorial Action Sequences Utilizing the Initial Sensitivity of Deterministic Dynamical Systems.- BICONN: A Binary Competitive Neural Network.- SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-Adaptive Selection Pressure Steering.- Cooperative Ant Colonies for Solving the Maximum Weighted Satisfiability Problem.- Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks.- The Antiquadrupolar Phase of the Biquadratic Neural Network.- Co-Evolutionary Algorithm for RBF by Self- Organizing Population of neurons.- Studying the Capacity of Grammatical Encoding to Generate FNN Architectures.- Optimal Phasor Measurement Unit Placement using Genetic Algorithms.- On the Evolutionary Inference of Temporal Boolean Networks.- Specifying evolutionary algorithms in XML.- Analysis of the Univariate Marginal Distribution Algorithm modeled by Markov chains.- Node level crossover applied to neural network evolution.- Genetic Search of Block-Based Structures of Dynamical Process Models.- Visualization of Neural Net Evolution.- Separable Recurrent Neural Networks Treated with Stochastic Velocities.- Studying the Convergence of the CFA Algorithm.- Auto-Adaptive Neural Network Tree Structure Based on Complexity Estimator.- Artificial Intelligence and Cognition.- Intelligence and Computation: A View from Physiology.- Image Understanding analysis at the Knowledge Level as a Design Task.- Morphological Clustering of the SOM for Multi-dimensional Image Segmentation.- Introducing Long Term Memory in an ANN based Multilevel Darwinist Brain.- New Directions in Connectionist Language Modeling.- Rules and Generalization Capacity Extraction from ANN with GP.- Numerosity and the Consolidation of Episodic Memory.- Rule Extraction from a Multilayer Feedforward Trained Network via Interval Arithmetic Inversion.- Necessary First-Person Axioms of Neuroconsciousness.- An Agent Based Approach of Collective Foraging.- Hybrid Architecture Based on Support Vector Machines.- A neural approach to extended logic programs.- Bioinspired Developments.- Solving SAT in Linear Time with a Neural-like Membrane System.- An Exponential-Decay Synapse Integrated Circuit For Bio-inspired Neural Networks..- A high level synthesis of an auditory mechanical to neural transduction circuit..- Restriction Enzyme Computation.- Neurally Inspired Mechanisms for the Dynamic Visual Attention Map Generation Task.- A Model of Dynamic Visual Attention for Object Tracking in Natural Image Sequences.- Neural competitive structures for segmentation based on motion features.- Background Pixel Classification for Motion Detection in Video Image Sequences.- COBRA: An Evolved Online Tool for Mammography Interpretation.- CBA generated receptive fields implemented in a Facial expression recognition task.- A Hybrid Face Detector based on an Asymmetrical Adaboost Cascade Detector and a Wavelet-Bayesian- Detector.- Neural Net Generation of Facial Displays in Talking Heads.