IWANN 1999: Alicante, Spain - Volume 1

Neural Modeling (Biophysical and Structural Models)

• Eve Marder, Jorge Golowasch, Kathryn S. Richards, Cristina Soto-Treviño, William L. Miller, L. F. Abbott:
  Self-Assembly of Oscillatory Neurons and Networks. 1-11
  
• José Mira, Ana E. Delgado García:
  Reveberating Loops of Information as a Dynamic Mode of Functional Organization of the N. S.: A Working Conjecture. 12-24
  
• Stephen L. Senft, Giorgio A. Ascoli:
  Reconstruction of Brain Networks by Algorithmic Amplification of Morphometry Data. 25-33
  
• J. G. (Iain) Wallace, Kevin Bluff:
  Slow Learning and Fast Evolution: An Approach to Cytoarchitectonic Parcellation. 34-42
  
• Miguel Maravall, Zachary F. Mainen, Karel Svoboda:
  Dentritic [Ca²⁺] Dynamics in the Presence of Immobile Buffers and of Dyes. 43-52
  
• Manuel A. Sánchez-Montañés, Fernando J. Corbacho, Juan A. Sigüenza:
  Development of Directionally Selective Microcircuits in Striate Cortex. 53-64
  
• Greg Maguire, Alex Straiker, Divya Chander, S. N. Haamedi, Daniele Piomelli, Nephi Stella, Qing-Jun Lu:
  Neural Circuitry and Plasticity in the Adult Vertebrate Inner Retina. 65-72
  
• Eduardo Sánchez Vila, Senén Barro, Jorge Mariño, Antonio Canedo, Pablo Vázquez:
  Modelling the Circuitry of the Cuneate Nucleus. 73-85
  
• Liset Menendez de la Prida, Juan Vicente Sánchez-Andrés:
  Filtering Capability of Neural Networks from the Developing Mammalian Hippocampus. 86-93
  
• Isabel Gonzalo:
  Spatial Inversion and Facilitation in the J. Gonzalo's Research of the Sensorial Cortex. Integrative Aspects. 94-103
  
• Enrique M. Muro, Miguel A. Andrade, Pedro Isasi, Federico Morán:
  A Self-Organizing Model for the Development of Ocular Dominance and Orientation Columns in the Virtual Cortex. 104-112
  
• Martin Pauly, Klaus Kopecz, Reinhard Eckhorn:
  Gaze Control with Neural Networks: A Unified Approach for Saccades and Smooth Pursuits. 113-122
  
• Cloe Taddei-Ferretti, Carlo Musio:
  The Neural Net of Hydra and the Modulation of Its Periodic Activity. 123-137
  
• Roustem Miftakov, James Christensen:
  A Biophysical Model of Intestinal Motility: Application in Pharmacological Studies. 138-151
  
• Konstantin A. Saltykov, Igor A. Shevelev:
  Model of the Neuronal Net for Detection of Single Bars and Cross-Like Figures. 152-162
  
• Alfonso Renart, Néstor Parga, Edmund T. Rolls:
  Connected Cortial Recurrent Networks. 163-170
  
• Shigeru Shinomoto, Yutaka Sakai:
  Inter-spike Interval Statistics of Cortical Neurons. 171-179
  
• Xugang Lu, Daowen Chen:
  A New Cochlear Model Based on Adaptive Gain Mechanism. 180-188
  
• Andrew P. Davison, Jianfeng Feng, David Brown:
  Structure of Lateral Inhibition in an Olfactory Bulb Model. 189-196
  
• David Brown, Jianfeng Feng:
  Effects of Correlation and Degree of Balance in Random Synaptic Inputs on the Output of the Hodgkin-Huxley Model. 197-205
  
• Fivos Panetsos, Angel Nuñez, Carlos Avendaño:
  Oscillations in the Lower Stations of the Somatosensory Pathway. 206-210
  
• Lászlò Orzó:
  Effects of the Ganglion Cell Response Nonlinear Mapping on Visual System's Noise Filtering Characteristics. 211-220
  
• Stuart Feerick, Jianfeng Feng, David Brown:
  Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model. 221-229
  
• Santi Chillemi, Michele Barbi, Angelo Di Garbo:
  Synchronisation in a Network of FHN Units with Synaptic-Like Coupling. 230-239
  
• Roger Rodriguez, Petr Lánský:
  Two-Compartment Stochastic Model of a Neuron with Periodic Input. 240-247
  
• Petr Lánský, Jean Vaillant:
  Stochastic Model of the Place Cell Discharge. 248-257
  
• Jianfeng Feng:
  Integrate-and-Fire Model with Correlated Inputs. 258-267
  
• Mona Spiridon, Wulfram Gerstner:
  Noise Modulation by Stochastic Neurons of the Integrate-and Fire Type. 268-276
  
• R. Mutihac, A. Cicuttin, A. Cerdeira Estrada, A. A. Colavita:
  Bayesian Modelling of Neural Networks. 277-286
  
• Leonid B. Litinskii:
  Neural Networks of the Hopfield Type. 287-296
  
• Fernanda Botelho:
  Stability Properties of BSB Models. 297-300
  
• Richard C. Wilson, Edwin R. Hancock:
  Storage Capacity of the Exponential Correlation Associative Memory. 301-310
  
• Gloria Galán Marín, J. Muñoz:
  A New Input-Output Function for Binary Hopfield Neural Networks. 311-320
  
• Ion Ciuca, Elena Jitaru:
  On the Three Neural Networks Using Sigmoidal Functions. 321-329
  
• Neil Davey, S. P. Hunt:
  The Capacity and Attractor Basins of Associative Memory Models. 330-339
  
• William Power, Ray J. Frank, D. John Done, Neil Davey:
  A Modular Attractor Model of Semantic Access. 340-347
  
• Cédric Bertolini, Hélène Paugam-Moisy, Didier Puzenat:
  Priming an Artificial Associative Memory. 348-356
  
• Akira Imada:
  What Does a Peak in the Landscape of a Hopfield Associative Memory Look Like ? 357-366
  
• Francisco de Borja Rodríguez Ortiz, Vicente López:
  Periodic and Synchronic Firing in an Ensemble of Identical Stochastic Units: Structural Stability. 367-376
  
• Frank Pasemann:
  Driving Neuromodules into Synchronous Chaos. 377-384
  
• Oscar Sotolongo-Costa, Alexei Vasques, J. C. Antoranz:
  Aging and Lévy Distributions in Sandpiles. 385-392
  
• Laura Viana, Arnulfo Castellanos, Anthony C. C. Coolen:
  Finite Size Effects in Neural Networks. 393-400
  
• Sorin Draghici:
  On the Computational Power of Limited Precision Weights Neutral Networks in Classification Problems: How to Calculate the Weight Range so that a Solution Will Exist. 401-412
  

Plasticity Phenomena (Maturing, Learning & Memory)

• Jianfeng Feng:
  Estimating Exact Form of Generalisation Errors. 413-420
  
• Thomas Burger, Elmar Wolfgang Lang:
  A Network Model for the Emergence of Orientation Maps and Local Lateral Circuits. 421-430
  
• Christoph Bauer, Thomas Burger, Elmar Wolfgang Lang:
  A Neural Network Model for the Self-Organization of the Cortical Grating Cells. 431-441
  
• Bai-ling Zhang, Tamás D. Gedeon:
  Extended Nonlinear Hebbian Learning for Developing Sparse-Distributed Representation. 442-449
  
• Tuan A. Duong, Taher Daud:
  Cascade Error Projection: A Learning Algorithm for Hardware Implementation. 450-457
  
• Leonardo Maria Reyneri:
  Unification of Supervised and Unsupervised Training. 458-466
  
• Moisés Salmerón, Julio Ortega, Carlos García Puntonet:
  On-Line Optimization of Radial Basis Function Networks with Orthogonal Techniques. 467-477
  
• Mariko Nakano-Miyatake, Héctor M. Pérez Meana:
  A Fast Orthogonalized FIR Adaptive Filter Structure Using Recurrent Hopfield-Like Network. 478-487
  
• R. Matthew Kretchmar, Charles W. Anderson:
  Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning. 488-496
  
• Oscar Luaces, Juan José del Coz, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde:
  Autonomous Clustering for Machine Learning. 497-506
  
• S. Alvarez de Toledo, J. M. Barreiro:
  Bioinspired Framework for General-Purpose Learning. 507-516
  
• Francisco Botana:
  Learning Efficient Rulsets from Fuzzy Data with a Generic Algorithm. 517-526
  
• Juan José del Coz, Oscar Luaces, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde:
  Self-Organizing Cases to Find Paradigms. 527-536
  
• Richard J. Duro, José Luis Crespo, José Santos Reyes:
  Training Higher Order Gaussian Synapses. 537-545
  
• Sergio Bermejo, Joan Cabestany:
  On-Line Gradient Learning Algorithms for K-Nearest Neighbor Classifiers. 546-555
  
• Andrés Pérez-Uribe, Eduardo Sanchez:
  Structure Adaption in Artificial Neural Networks through Adaptive Clustering and through Growth in State Space. 556-565
  
• Xavier Parra, Andreu Català:
  Sensitive Analysis of Radial Basis Function Networks for Fault Tolerance Purposes. 566-572
  
• J. David Buldain Pérez, Armando Roy:
  Association with Multi-dendritic Radial Basis Units. 573-581
  
• Francesco E. Lauria, M. Milo, R. Prevete, S. Visco:
  A Boolean Neural Network Controlling Task Sequences in a Noisy Environment. 582-590
  
• Roberto Iglesias, Senén Barro:
  SOAN: Self Organizing with Adaptive Neighborhood Neural Network. 591-600
  
• Nicolás J. Medrano-Marqués, Bonifacio Martín-del-Brío:
  Topology Preservation in SOFM: An Euclidean versus Manhattan Distance Comparison. 601-609
  
• P. Martin-Smith, Francisco J. Pelayo, Eduardo Ros Vidal, Alberto Prieto:
  Supervised VQ Learning Based on Temporal Inhibition. 610-620
  
• Marco Russo, Giuseppe Patanè:
  Improving the LBG Algorithm. 621-630
  
• Ignacio Rojas, Héctor Pomares, Julio Ortega, Eduardo Ros Vidal, Alberto Prieto:
  Sequential Learning Algorithm for PG-RBF Network Using Regression Weights for Time Series Prediction. 631-640
  
• Marco Russo:
  Parallel Fuzzy Learning. 641-650
  
• Arnaud Ribert, Emmanuel Stocker, Abdel Ennaji, Yves Lecourtier:
  Classification and Feature Selection by a Self-Organizing Neural Network. 651-660
  
• Pedro A. Castillo Valdivieso, Juan J. Merelo Guervós, Jorge González, Víctor Manuel Rivas Santos, Gustavo Romero:
  SA-Prop: Optimization of Multilayer Perceptron Parameters Using Simulated Annealing. 661-670
  
• Carlos E. Thomaz, Marco Aurélio Cavalcanti Pacheco, Marley B. R. Vellasco:
  Mobile Robot Path Planning Using Genetic Algorithms. 671-679
  
• Henrique J. S. Coutinho, Edgar A. Lanzer, Aran Bey:
  Do Plants Optimize ? 680-689
  
• Ramiro Varela, Alberto Gomez, Camino R. Vela, Jorge Puente, Cesar Alonso:
  Heuristic Generation of the Initial Population in Solving Job Shop Problems by Evolutionary Strategies. 690-699
  
• Habiba Drias:
  Randomness in Heuristics: An Experimental Investigation for the Maximum Satisfiability Problem. 700-708
  
• Alberto Gomez, David de la Fuente:
  Solving the Packing and Strip-Packing Problems with Genetic Algorithms. 709-718
  
• Manuel Fernández Delgado, Jesús María Rodríguez Presedo, Senén Barro:
  Multichannel Pattern Recognition Neural Network. 719-729
  
• Maartje E. J. Raijmakers, Peter C. M. Molenaar:
  A Biological Plausible Maturation of an ART Network. 730-736
  
• Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
  Adaptive Resonance Theory Microchips. 737-746
  
• Shahla Keyvan, Luis C. Rabelo:
  Application of ART2-A as a Pseudo-supervised Paradigm to Nuclear Reactor Diagnosis. 747-755
  
• Kamal R. Al-Rawi:
  Supervised ART-I: A New Neural Network Architecture for Learning and Classifying Multi-valued Input Patterns. 756-765
  

Artificial Intelligence and Cognitive Neuroscience

• Cloe Taddei-Ferretti, Carlo Musio, Silvia Santillo, Antonio Cotugno:
  Conscious and Intentional Access to Unconscious Decision-Making Module in Ambiguous Visual Perception. 766-775
  
• Farshad Moradi:
  A Psychophysical Approach to the Mechanism of Human Stereovision. 776-785
  
• Werner Backhaus:
  Neuronal Coding and Color Sensations. 786-797
  
• Igor Aleksander, Barry Dunmall, Valentina Del Frate:
  Neurocomputational Models of Visualisation: A Preliminary Report. 798-805
  
• Kunihiko Fukushima, Kazuya Yoshimoto:
  Self-Organization of Shift-Invariant Receptive Fields. 806-815
  
• Shunji Satoh, Hirotomo Aso, Shogo Miyake, Jousuke Kuroiwa:
  Pattern Recognition System with Top-Down Process of Mental Rotation. 816-825
  
• Yoshiyuki Mitsumori, Takashi Omori:
  Segmentation of Occluded Using a Hybrid of Selective Attention and Symbolic Knowledge. 826-839
  
• Naoyuki Tsuruta, Rin-ichiro Taniguchi, Makoto Amamiya:
  Hypercolumn Model: A Modified Model of Neocognitron Using Hierarchical Self-Oragnizing Maps. 840-849
  
• Luiz Pessoa, Sergio Exel:
  Attentional Strategies for Object Recognition. 850-859