Computational Methods in Neural Modeling: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, Menorca, Spain, June 3-6. Proceedings

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Springer Science & Business Media, May 22, 2003 - Computers - 772 pages
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The 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
Author Index
758
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