## Computational Methods in Neural Modeling: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, Menorca, Spain, June 3-6. ProceedingsThe global purpose of IWANN conferences has been to provide a broad and - terdisciplinary forum for the interplay between neuroscience and computation. Our dream has been, and still is: (1) ?nd ways to understand the physiol- ical, symbolic and cognitive nature of the nervous system (NS) with the help of computational and engineering tools; and (2) ?nd rich and insightful sources of inspiration in biology, to develop new materials, mechanisms and probl- solving methods (PSM) of value in engineering and computation. As all of us knowwell, this dreamstarted with the AncientGreeks, reappearedin the fo- dational stage of neurocybernetics and bionics, and is now broadly accepted in the scienti?c community under di?erent labels such as computational neu- science(CN) andarti?cialneuralnets (ANN), orgenetic algorithmsandhybrid neuro-fuzzy systems. We have also to recognize that there is a considerable lack of credibility associated with CN and ANN among some researchers, both from biology and from the engineering and computation area. Potential causes of this scepticism could be the lack of methodology, formal tools, and real-world applications, in the engineering area, and the lack also of formal tools for cognitive process modeling. There is also the possibility of the computational paradigm being inappropriate to explain cognition, because of the “representational” character ofanycomputationalmodel. Some“moresituated”approachesarelookingback to the “neurophysiological epistemology” of the 1960's (mind in a body) to searchdirectlyforthemechanismsthatcouldembodythecognitiveprocess,and this means some fresh air for our old dream of connectionism. |

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### Contents

Modeling Neuronal Firing in the Presence of Refractoriness | 1 |

A Study of the Action Potential Initiation Site Along the Axosomatodendritic Axis of Neurons Using Compartmental Models | 9 |

A Summary of Thoughts | 16 |

Synchronous firing in a population of inhibitory interneurons coupled by electrical and chemical synapses | 24 |

Stochastic Networks with Subthreshold Oscillations and Spiking Activity | 32 |

Computational Approach to Steady Potential Gradients | 40 |

Intermittent burst synchronization in neural networks | 46 |

Diffusive Hybrid Neuromodulation and Volume Learning | 54 |

PerformanceEnhancing Bifurcations in a Selforganising Neural Network | 390 |

A Competitive Neural Network based on dipoles | 398 |

Applications to the Travelling Salesman Problem | 406 |

Parallel ACS for weighted MAXSAT | 414 |

Learning to Generate Combinatorial Action Sequences Utilizing the Initial Sensitivity of Deterministic Dynamical Systems | 422 |

A Binary Competitive neural Network | 430 |

An Evolutionary Algorithm for Retarding Premature Convergence by SelfAdaptive Selection Pressure Steering | 438 |

Cooperative Ant Colonies for Solving the Maximum Weigthed Satisfiability Problem | 446 |

The MinimumVariance Theory Revisited | 62 |

a computational study | 70 |

Effects of different connectivity patterns in a model of cortical circuits | 78 |

A Digital Neural Model of Visual Deficits in Parkinsons Disease | 86 |

Intersensorial Summation as a Nonlinear Contribution to Cerebral Excitation | 94 |

Interacting Modalities through Functional Brain Modeling | 102 |

consolidation of novel events into dynamic memory representations | 110 |

Realtime Sound Source Localization and Separation based on Active AudioVisual Integration | 118 |

Hierarchical Neuro Fuzzy Systems | 126 |

A functional spiking neuron hardware oriented model | 136 |

SO2Networks as Neural Oscillators | 144 |

A Rotated Kernel Probabilistic Neural Network RKPNN for Multiclass Classification | 152 |

Independent Residual Analysis for Temporally Correlated Signals | 158 |

a Hybrid Neural Architecture Formed by the Interaction of Hopfield and MultiLayer Perceptron Neural Networks | 166 |

Linear unit relevance in multiclass NLDA networks | 174 |

linear approximation of the optimism | 182 |

A learning rule to model the development of orientation selectivity in visual cortex | 190 |

Sequence learning using the neural coding | 198 |

Improved Kernel earning Using Smoothing Parameter Based Linear Kernel | 206 |

A Reinforcement Learning Approach | 214 |

Discriminative Training of the Scanning NTuple Classifier | 222 |

A Wrapper Approach with Support Vector Machines for Text Categorization | 230 |

Robust Expectation Maximization Learning Algorithm for Mixture of Experts | 238 |

Choosing among algorithms to im rove accuracy | 246 |

Evolutionary Approach to Overcome Initialization Parameters in Classification Problems | 254 |

Text Categorisation Using a PartialMatching Strategy | 262 |

A new learning method for single layer neural networks based on a regularized cost function | 270 |

A better selection of patterns in lazy learning radial basis neural networks | 278 |

An Iterative Fuzzy Prototype Induction Algorithm | 286 |

A Recurrent Multivalued Neural Network for codebook generation in Vector Quantization | 294 |

The recurrent IMLnetwork | 302 |

Estimation of Multidimensional Regression Model with Multilayer Perceptrons | 310 |

Principal Components Analysis Competitive Learning | 318 |

Progressive Concept Formation in Selforganising Maps | 326 |

Supervised Classification with Associative SOM | 334 |

Neural Implementation of Dijkstras Algorithm | 342 |

Spurious minima and basins of attraction in higherorder Hopfield networks | 350 |

Cooperative Coevolution of Multilayer Perceptrons | 358 |

A statistical model of pollutioncaused pulmonary crises | 366 |

A new penalty based criterion for model selection in regularized nonlinear models | 374 |

Data Driven Multiple Neural Network Models Generator Based on a Tree like Scheduler | 382 |

Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks | 454 |

The Antiquadrupolar Phase of the Biquadratic Neural Network | 462 |

CoEvolutionary Algorithm for RBF by SelfOrganizing Population of neurons | 470 |

Studying the Capacity of Grammatical Encoding to Generate FNN Architectures | 478 |

Optimal Phasor Measurement Unit Placement using Genetic Algorithms | 486 |

On the Evolutionary Inference of Temporal Boolean Networks | 494 |

Specifying evolutionary algorithms in XML | 502 |

Analysis of the Univariate Marginal Distribution Algorithm modeled by Markov chains | 510 |

Node level crossover applied to neural network evolution | 518 |

Genetic Search of BlockBased Structures of Dynamical Process Models | 526 |

Visualization of Neural Net Evolution | 534 |

Separable Recurrent Neural Networks Treated with Stochastic Velocities | 542 |

Studying the Convergence of the CFA Algorithm | 550 |

AutoAdaptive Neural network Tree Structure Based on Complexity Estimator | 558 |

A View from Physiology | 566 |

Image Understanding analysis at the Knowledge Level as a Design Task | 574 |

Morphological Clustering of the SOM for Multidimensional Image Segmentation | 582 |

Introducing Long Term Memory in an ANN based Multilevel Darwinist Brain | 590 |

New Directions in Connectionist Language Modeling | 598 |

Rules and Generalization Capacity Extraction from ANN with GP | 606 |

Numerosity and the Consolidation of Episodic Memory | 614 |

Rule Extraction from a Multilayer Feedforward Trained Network via Interval Arithmetic Inversion | 622 |

Necessary FirstPerson Axioms of Neuroconsciousness | 630 |

An Agent Based Approach of Collective Foraging | 638 |

Hybrid Architecture Based on Support Vector Machines | 646 |

A neural approach to extended logic programs | 654 |

Solving SAT in Linear Time with a Neurallike Membrane System | 662 |

An ExponentialDecay Synapse Integrated Circuit For Bioinspired Neural Networks | 670 |

A high level synthesis of an auditory mechanical to neural transduction circuit | 678 |

Restriction Enzyme Computation | 686 |

Neurally Inspired Mechanisms for the Dynamic Visual Attention Map Generation Task | 694 |

A Model of Dynamic Visual Attention for Object Tracking in Natural Image Sequences | 702 |

Neural competitive structures for segmentation based on motion features | 710 |

Background Pixel Classifcation for Motion Detection in Video Image Sequences | 718 |

An Evolved Online Tool for Mammography Interpretation | 726 |

CBA generated receptive fields implemented in a Facial expression recognition task | 734 |

A Hybrid Face Detector based on an Asymmetrical Adaboost Cascade Detector and a WaveletBayesian Detector | 742 |

Neural Net Generation of Facial Displays in Talking Heads | 750 |

758 | |

### Other editions - View all

Computational Methods in Neural Modeling: 7th International Work ..., Part 1 José Mira,José R. Álvarez No preview available - 2014 |

### Common terms and phrases

activity Adaboost analysis applied approach architecture artiﬁcial associated backpropagation behavior Berlin Heidelberg 2003 binary cells classiﬁcation clustering complex computational convergence corresponding cortex data set deﬁned detector dynamics encoding equation error estimation evaluation evolutionary evolutionary algorithm ﬁelds ﬁgure ﬁnd ﬁrst ﬁtness function fuzzy Genetic Algorithms hidden layer Hopfield network hybrid IEEE implemented initial input interval iterations IWANN kernel linear LNCS Machine Learning matrix measure method Mira multiset neural networks Neuro-Fuzzy neurons node noise nonlinear obtained operator optimal output parameters patterns performance phasor pheromone pixels population potential prediction presented problem proposed prototypes receptive fields recurrent neural networks representation represents robot rules sample selection sequence signals simulations solution space spike Springer-Verlag Berlin Heidelberg structure Support Vector Machines synaptic synchronization training set Universidad unsupervised learning update variables vector vector quantization visual weights