IWANN 1999: Alicante, Spain - Volume 1
José Mira, Juan Vincente Sánchez-Andrés (Eds.): Foundations and Tools for Neural Modeling, International Work-Conference on Artificial and Natural Neural Networks, IWANN '99, Alicante, Spain, June 2-4, 1999, Proceedings, Volume I. Springer 1999 Lecture Notes in Computer Science ISBN 3-540-66069-0
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


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
László 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
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
Radu 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
Neil Davey, Stephen 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
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
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
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
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
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



