3. IWANN 1995: Torremolinos, Spain

1. Neuroscience

• Stephen Grossberg:
  Are There Universal Principles of Brain Computation? 1-6
  
• Liset Menendez de la Prida:
  Modeling Cortical Networks. 7-14
  
• José Mira, Angeles Manjarrés Riesco, S. Ros, Ana E. Delgado García, José R. Álvarez:
  Cooperative Organization of Connectivity Patterns and Receptive Fields in the Visual Pathway: Application to Adaptive Thresholding. 15-23
  
• Frédéric Alexandre, Frédéric Guyot:
  Neurobiological Inspiration for the Architecture and Functioning of Cooperating Neural Networks. 24-30
  
• Richard J. Duro, José Santos Reyes, A. Gómez:
  Synaptic Modulation Based Artificial Neural Networks. 31-36
  
• Martin Stetter, M. Kussinger, A. Schels, E. Seeger, Elmar Wolfgang Lang:
  Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network. 37-44
  
• Jaap Hoekstra, Mohamed Maouli:
  An Analytical Solution of the Compartment Model for Use in Logical Learning in Artificial Neural Networks. 45-52
  
• J. G. (Iain) Wallace, Kevin Bluff:
  Should ANN be ANGN? 53-60
  
• Tino Lourens:
  Modeling Retinal High and Low Contrast Sensitivity Filters. 61-68
  
• José Miró-Nicolau:
  Neural Micro-Structures. Three Simple Models. 69-75
  
• A. Daffertshofer, H. Haken:
  Adaptive Hierarchical Structures. 76-84
  
• Etelvina Andreu, Bernat Soria, S. Bolea, Juan Vicente Sánchez-Andrés:
  Optimal Range of Input Resistance in the Oscillatory Behavior of the Pancreatic beta-Cell. 85-89
  
• Peter Kruizinga, Nicolai Petkov:
  A Computational Model of Periodic-Pattern-Selective Cells. 90-99
  
• Ilya A. Rybak, Julian F. R. Paton, James S. Schwaber:
  Modeling and Analysis of Some Neural Mechanisms for the Genesis and Control of Respiratory Pattern. 100-107
  
• Federico Morán, Miguel A. Andrade:
  A Neural Network Model for Plasticity in Adult Striate Cortex. 108-113
  
• Elena Valderrama, Rosa Villa, Enric Cabruja, Paco Garrido, Xavier Navarro, Miquel Buti, Santiago Calvet:
  Regenerative-Type Neural Interface. 114-120
  
• Rosa Villa, Jordi Aguiló:
  New Perspectives in Auditory Coding: Bases for a New Cochlear Behavioural Model. 121-129
  
• Jorge Mpodozis, Juan-Carlos Letelier, Humberto R. Maturana:
  Nervous System as a Closed Neural Network: Behavioral and Cognitive Consequences. 130-136
  

2. Computational Models of Neurons and Neural Nets

• Miguel Angel Fernández, José Mira, María T. López, José R. Álvarez, Angeles Manjarrés Riesco, Senén Barro:
  Local Accumulation of Persistent Activity at Synaptic Level: Application to Motion Analysis. 137-143
  
• Manuel Graña, Alicia D'Anjou, F. Xabier Albizuri, A. de la Hera, I. Garcia:
  High Order Boltzmann Machines with Continuous Units: Some Experimental Results. 144-150
  
• Jun Nishii:
  An Adaptive Control Model of a Locomotion by the Central Pattern Generator. 151-157
  
• Igor Grabec:
  Self-Consistent Neural Receptive Fields. 158-165
  
• Paul M. Hofman, Francisco de Borja Rodríguez Ortiz, Juan A. Sigüenza, Vicente López, Santiago Carrillo-Menéndez:
  A Simple Probabilistic Neural Model Producing Multimodal ISHs. 166-173
  
• Maria Teresa Signes Pont, Juan Vicente Sánchez-Andrés:
  An Associative Neural Network to Model the Developing Mammalian Hippocampus. 174-179
  
• Marc-Denis Weitze, G. L. Hofacker:
  The Implementation of Propositional Logic in Random Neural Networks. 180-188
  
• James V. Stone, Alistair J. Bray:
  A Learning Rule for Extracting Temporal Invariances. 189-194
  
• Jun Han, Claudio Moraga:
  The Influence of the Sigmoid Function Parameters on the Speed of Backpropagation Learning. 195-201
  
• A. M. C.-L. Ho, Philippe De Wilde:
  General Transient Length Upper Bound for Recurrent Neural Networks. 202-208
  
• Roberto Moreno-Díaz Jr., K. Nicholas Leibovic:
  On Some Methods in Neuromathematics. 209-215
• Nabil H. Farhat, Emílio Del Moral Hernandez:
  Logistic Networks With DNA-Like Encoding and Interactions. 216-222
  
• Chris Christodoulou, Trevor G. Clarkson:
  A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled. 223-230
  
• Bertrand Augereau, Thierry Simon, Jacky Bernard, Bernard Heit:
  The BP-lambdaL1 Algorithm: Non-Chaotic and Accelerated Learning in a MLP Network. 231-238
  
• Teo Jasic, Hean-Lee Poh:
  Analysis of Pruning in Backpropagation Networks for Artificial and Real Worls Mapping Problems. 239-245
  
• Margarita Kuzmina, Eduard A. Manykin, Irina Surina:
  Oscillatory Networks with Hebbian Matrix of Connections. 246-251
  
• Victor Giménez, Pedro Gómez Vilda, E. Torrano, M. Pérez-Castellanos:
  A new Algorithm for Implementing a Recursive Neural Network. 252-259
  
• José Barahona da Fonseca, Isabel Barahona da Fonseca, José Simões da Fonseca:
  Visual Information Processing from the Viewpoint of Symbolic Operations. 260-267
  
• Isabel Barahona da Fonseca, José Barahona da Fonseca, José Simões da Fonseca:
  Dentritic Computation in the Brain. 268-275
  
• Pavel Hruby:
  Stochastic Neuronal Models with Realistic Synaptic Inputs and Oscillatory Inputs. 276-282
  
• Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
  A Neural Paradigm for Controlling Autonomous Systems with Reflex Behaviour and Learning Capability. 283-290
  
• Ana M. González, Carlos Santa Cruz, Vicente López, José R. Dorronsoro:
  Fast Automatic Architecture Selection on RBF Networks. 291-297
  
• Laura Viana:
  Collective Behaviour of a Chain of Hopfield Subnetworks Interconnected Unidirectionally. 298-307
  

3. Organization Principles

• Kate Butchart, Neil Davey, Rod Adams:
  A Comparative Study of Three Neuronal Networks that use Soft Competition. 308-314
  
• Dimitris C. Dracopoulos, Antonia J. Jones:
  Neural Networks and Genetic Algorithms for the Attitude Control Problem. 315-321
  
• John A. Flanagan, Martin Hasler:
  Self-Organising Artificial Neural Networks. 322-329
  
• Emmanuel Stocker, Yves Lecourtier, Abdel Ennaji:
  A Distributed Classifier Based on Yprel Networks Cooperation. 330-337
  
• A. Kosak, Karl Goser:
  A Fractal Selforganizing Map with Partially Chaotic Neurons. 338-344
  
• Enrique Cervera, Angel P. Del Pobil:
  Multiple Self-Organizing Maps for Supervised Learning. 345-352
  
• Jianfeng Feng, Brunello Tirozzi:
  An Application of the Saturated Attractor Analysis to Three Typical Models. 353-360
  

4. Learning

• Christian Jutten:
  Learning in Evolutive Neural Architectures: An Ill-Posed Problem? 361-373
  
• Andries Petrus Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada:
  Automatic Scaling using Gamma Learning for Feedforward Neural Networks. 374-381
  
• Andries Petrus Engelbrecht, Ian Cloete, Jacek M. Zurada:
  Determining the Significance of Input Parameters using Sensitivity Analysis. 382-388
  
• Naum N. Aizenberg, Igor N. Aizenberg, Georgy A. Krivosheev:
  Multi-Valued Neurons: Learning, Networks, Application to Image Recognition and Extrapolation of Temporal Series. 389-395
  
• Qiangfu Zhao, Tatsuo Higuchi:
  Individual Evolutionary Algorithm and its Application to Learning of Nearest Neighbor Based MLP. 396-403
  
• Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
  A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels. 404-411
  
• Fernando J. Corbacho, Michael A. Arbib:
  Schema Based Learning & Learning to Detour. 412-418
  
• Josef Göppert, Wolfgang Rosenstiel:
  Neurons with Continuous Varying Activation in Self-Organizing Maps. 419-426
  
• Luis A. Trejo, Carlos Sandoval:
  Improving Back-Propagation: Epsilon-Back-Propagation. 427-432
  
• M. Asunción Castaño, Enrique Vidal, Francisco Casacuberta:
  Finite State Automata and Connectionist Machines: A Survey. 433-440
  
• Y. Guan, Trevor G. Clarkson, John G. Taylor:
  Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks. 441-447
  
• Ramón Ferreiro García, Francisco Javier Perez Castelo:
  Fuzzy Function Estimators as Basis on Learning from Experience. 448-453
  
• Arthur Flexer:
  Connectionists and Statisticans, Friends or Foes? 454-461
  
• Manfred Leisenberg:
  Unsupervised Neural Networks for Speech Perception with Cochlear Implant Systems for the Profoundly Deaf. 462-470
  
• Eduardo Zalama Casanova, Paolo Gaudiano, Juan López Coronado:
  Obstacle Avoidance by Means of an Operant Conditioning Model. 471-477
  
• Bernardo Morcego Seix, Andreu Català Mallofré, Núria Piera Carreté:
  Qualitative Approach to Gradient Based Learning Algorithms. 478-485
  
• Francisco J. Vico, F. Ortega, J. Almaraz, Francisco Sandoval Hernández:
  Character Recognition with Neural Assemblies. 486-491
  
• Zoltan Schreter:
  Learning by Attentional Scanning. 492-497
  
• Joanna Lis:
  The Synthesis of the Ranked Neural Networks Applying Genetic Algorithm with the Dynamic Probability of Mutation. 498-504
  
• Francisco Javier Marín Martín, F. García, Francisco Sandoval Hernández:
  Global Versus Local Heuristic Terminal Attractor. 505-512
  
• Andreas Kanstein, Karl Goser:
  Dynamic Learning of Radial Basis Functions for Fuzzy Clustering. 513-518
  
• Rachida Chentouf, Christian Jutten:
  Incremental Learning with a Stopping Criterion - Experimental Results. 519-526
  
• D. Benitez-Diaz, J. Garcia-Quesada:
  Learning Algorithm with Gaussian Membership Function for Fuzzy RBF Neural Networks. 527-534
  
• Georg Thimm, Emile Fiesler:
  Neural Network Initialization. 535-542
  
• Ali Farahmand Nejad, Tamás D. Gedeon:
  Bidirectional Neural Networks Reduce Generalization Error. 543-550
  
• Tamás D. Gedeon, Patrick M. Wong, D. Harris:
  Balancing Bias and Variance: Network Topology and Pattern Set Reduction Techniques. 551-558
  
• Didier Puzenat:
  Priming an Artificial Neural Classifier. 559-565
  

5. Cognitive Science and AI

• Igor Aleksander:
  Artificial Neuroconsciousness an Update. 566-583
  
• Philippe De Wilde:
  Physical and Linguistic problems in the Modelling of Consciousness by Neural Networks. 584-588
  
• Ken-ichiro Miura, Takashi Nagano:
  A Neural Network Model for the Velocity Vector of an Object and its Consistency with Psychological Phenomena. 589-596
  
• Fabio Crestani:
  Implementation and Evaluation of a Relevance Feedback Device Based on Neural Networks. 597-604
  
• Rafael C. Carrasco, Mikel L. Forcada:
  Second-Order Recurrent Neural Networks Can Learn Regular Grammars from Noisy Strings. 605-610
  
• H. L. Viktor, Ian Cloete:
  Extracting DNF Rules from Artificial Neural Networks. 611-618
  
• Erich Prem:
  Dynamic Symbol Grounding, State Construction and the Problem of Teleology. 619-626
  
• Enrique Monte, J. M. Calvet, S. Vilarrubla:
  Analysis of Industrial Economics by means of Neural Nets. 627-633
  
• F. Díaz-Otero, A. Caballero, A. Lorenzo, Juan A. Sigüenza:
  Effects of Spatial Frequency and Stimulus Size on the Orientation Sensitivity of Humans. 634-641
  

6. Neurosimulators

• Jean-Marc Adamo, Davide Anguita:
  Object Oriented Design of a Simulator for Large BP Neural Networks. 642-649
  
• Pablo Varona, Juan A. Sigüenza:
  Introducing XSim: A Neural Network Simulator that Incorporates Biological Parameters. 650-657
  
• José Santos Reyes, Ramón P. Otero, José Mira:
  NETTOOL: A Hybrid Connectionist-Symbolic Development Environment. 658-665
  
• Marcello Chiaberge, G. Di Bene, S. Di Pascoli, R. Lambert, Beatrice Lazzerini, Adriana Maggiore, Leonardo Maria Reyneri:
  EL-SIM: a Development Environment for Neuro-Fuzzy Intelligent Controllers. 666-672
  
• Yves Cheneval:
  Packlib, an Interactive Environment to Develop Modular Software for Data Processing. 673-682
  
• Alfredo Weitzenfeld:
  NSL-Neural Simulation Language. 683-688
  

7. Implementation

• Antonio Jesús Torralba Silgado:
  Low-Cost Accelerator for the Simulation of Cellular Neural Networks. 689-695
  
• Philippe Thissen, Michel Verleysen, Jean-Didier Legat, Jordi Madrenas, Jordi Domínguez:
  A VLSI System for Neural Bayesian and LVQ Classification. 696-703
  
• Philippe Thissen, Michel Verleysen, Jean-Didier Legat:
  An Associative Processor Dedicated to Classification by Neural Methods. 704-711
  
• Bonifacio Martín-del-Brío, Javier Blasco-Alberto:
  Hardware-Oriented Models for VLSI Implementation of Self-Organizing Maps. 712-719
  
• Ulrich Roth, Axel Jahnke, Heinrich Klar:
  Hardware Requirements for Spike-Processing Neural Networks. 720-727
  
• Francisco J. Pelayo, Eduardo Ros Vidal, P. Martin-Smith, F. J. Fernández, Alberto Prieto:
  A VLSI Approach to the Implementation of Additive and Shunting Neural Networks. 728-735
  
• Mancia Anguita, Francisco J. Pelayo, F. J. Fernández, Alberto Prieto:
  A Low-Power Analog Implementation of Cellular Neural Networks. 736-743
  
• José Manuel Benitez Sánchez, Julio Ortega, Ignacio Requena:
  Asynchronously Parallel Boltzmann Machines Mapped onto Distributed-Memory Multiprocessors. 744-751
  
• F. Castillo, Jose A. García, Juan Manuel Moreno, Joan Cabestany:
  A Coprocessor Card for Fast Neural Network Emulation. 752-760
  
• Juan Manuel Moreno, Jordi Madrenas, S. San Anselmo, F. Castillo, Joan Cabestany:
  Digital Hardware Implementation of ROI Incremental Algorithms. 761-770
  
• N. Maria, Anne Guérin-Dugué, Juan Manuel Moreno, François Blayo:
  Comparing Implementations of Radial Basis Function Neural Networks on Three Parallel Machines. 771-780
  
• François Blayo, Anne Guérin-Dugué, N. Maria:
  Implementing Radial Basis Functions Neural Networks on the Systolic MANTRA Machine. 781-788
  
• Antonio Jesús Torralba Silgado, Francisco Colodro Ruiz, Leopoldo García Franquelo:
  A Mixed Parallel-Sequential SHNN for Large Networks. 789-793
  
• O. Vermesan:
  A Modular VLSI Architecture for Neural Networks Implementation. 794-799
  
• Alfred Strey, Narcís Avellana, Raul Holgado, J. Alberto Fernández, Ramon Capillas, Elena Valderrama:
  A Massively Parallel Neurocomputer with a Reconfigurable Arithmetical Unit. 800-806
  
• I. Saxena, Emile Fiesler:
  An All-Optical Propagation Multilayer Neural Network. 807-814
  
• David J. Mayes, Alister Hamilton:
  A VLSI Current Mode Synapse Chip. 815-821
  
• Valeriu Beiu, John G. Taylor:
  Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm -. 822-829
  
• E. Miranda, Leonardo Maria Reyneri:
  A CPWM Synapsis for Weighted Radial Basis Functions. 830-837
  
• José Luis Bernier, Juan J. Merelo Guervós, Julio Ortega, Alberto Prieto:
  Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms. 838-844
  

8. Neural Networks for Perception

• Jeanny Hérault:
  About Some Perception Problems in Neural Networks. 845-859
  
• David López Vilariño, Diego Cabello, Antonio Mosquera González:
  Optimization Neural Networks for Image Segmentation. 860-867
  
• W. P. Cheung, C. K. Lee, K. C. Li:
  Segmentation of Range Images: A Neural Network Approach. 868-874
  
• Javier Ruiz-del-Solar, Mario Köppen:
  A Neural Architecture for Preattentive Segmentation of Sewage Pipes Video Images. 875-881
  
• Miguel A. Jaramillo Morán, Francisco Javier López Aligué, Miguel Macías Macías, M. Isabel Acevedo Sotoca:
  A CNN Model for Grey Scale Image Processing. 882-889
  
• René Natowicz:
  Kohonen's Self Organizing Maps for Contour Segmentation of Gray Level and Color Images. 890-897
  
• Carlos García Puntonet, Manuel Rodríguez Álvarez, Alberto Prieto:
  A Geometrical Based Procedure for Source Separation Mapped to a Neural Network. 898-905
  
• Alberto Ruiz García, Francisco J. Arcas Túnez:
  Quasi-Optimum Combination of Multilayer Perceptrons for Adaptive Multiclass Pattern Recognition. 906-912
  
• Javier Echanobe, José Ramón González de Mendívil, José Ramón Garitagoitia:
  A Text Recognition System Based on a Neural Network and on a Deformed System. 913-918
  
• Soheil Shams:
  Simultaneous Recognition of Multiple Objects Using the MEM Model. 919-925
  
• Jung-Wook Cho, Soo-Young Lee, Cheol Hoon Park:
  On-line Handwritten Character Recognition by a Hybrid Method based on Neural Networks and Pattern Matching. 926-933
  
• J. Pérez Maroto, Yannis A. Dimitriadis, J. Manuel Cano Izquierdo, Juan López Coronado:
  Analysis and Application of the STORE Neural Model in Recognizing Handwritten Symbols. 934-941
  
• Francisco Ibarra Picó, Juan Manuel García Chamizo, Ramón Rizo Aldeguer, D. Corredor Lacha:
  An Adaptive Orthogonal Associative Memory and its Application to Character Recognition. 942-947
  
• D. Asensi Muñoz, A. Almagro León, Francisco Ibarra Picó:
  Texture Classification on Real Time Using Semi-cover Vector and and Orthogonal Neural Network. 948-955
  
• P. M. Palagi, Anne Guérin-Dugué:
  An Architecture for Texture Segmentation: from Energy Features to Region Detection. 956-962
  
• Pedro Gómez Vilda, María Victoria Rodellar Biarge, Victor Nieto Lluis, M. A. Hombrados:
  A Lattice-Based Time-Delay Neural Network for Speech Processing. 963-970
  
• Itsuki Noda:
  Acquisition of Internal Representation by Learning of Identity-mapping Using Overload Learning. 971-978
  
• Cesar Bandera, I. M. Conde, J. Jerez, M. González, Francisco J. Vico, F. Ortega:
  A Multiacuity Connectionist Model for Local Speed Estimation. 979-986
  
• Fernando Arroyo, Ana Gonzalo, J. R. Hilera:
  Using Artificial Neural Networks for Ultrasonic Signals Processing from Simple Geometric Shapes. 987-992
  
• Darío Maravall Gómez-Allende, Luis Baumela:
  A Hierarchical Neural Network for Mobile Visual Tracking with a Robot Head. 993-1000
  
• Ricardo Salem Zebulum, Karla Guedes, Marley B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
  Short Term Load Forecasting Using Neural Nets. 1001-1008
  
• Stanislaw Osowski, Robert Waszczuk, Piotr Bojarczak:
  Image Compression Using Feedforward Neural Networks - Hierarchical Approach. 1009-1015
  

9. Neural Networks for Communications and Control

• Carme Torras, Gabriela Cembraño, José del R. Millán, Gordon Wells:
  Neural Approaches to Robot Control: Four Representative Applications. 1016-1035
  
• José R. Álvarez, José Mira, R. A. Fernández, L. Sainz, V. Arroyo, Ana E. Delgado García:
  On Line Identification of Causal Relationships Between Variables in the Feed Water System of a Nuclear Power Plant. 1036-1044
  
• Mihiar Ayoubi, M. Schäfer, S. Sinsel:
  Dynamic Neural Units for Nonlinear Dynamic Systems Identification. 1045-1051
  
• V. Vergara, S. Sinne, Claudio Moraga:
  Optimal Identification Using Feed-Forward Neural Networks. 1052-1059
  
• M. Domínguez, J. M. Michelin, J. M. Martinez:
  Recurrent Neural Networks for Identification of Friction. 1060-1067
  
• Salvatore Cavalieri, M. Martini:
  Solving and End-Effector Positioning Problem by Hopfield Neural Network. 1068-1075
  
• Peter F. McGuire, Gabriele M. T. D'Eleuterio:
  Visuomotor Control using an Artificial Neural Network. 1076-1083
  
• Cristina Versino, Luca Maria Gambardella:
  Learning the Visuomotor Coordination of a Mobile Robot by Using the Invertible Kohonen Map. 1084-1091
  
• Jesús E. Villadangos, José Ramón González de Mendívil, Carlos F. Alastruey, José Ramón Garitagoitia:
  Neural Networks for Automatic Fuzzy Control System Design. 1092-1098
  
• Pierre Comon, Yves Cheneval:
  Supervised Classification With Variable Kernel Estimators. 1099-1106
  
• Marie Cottrell, Bernard Girard, Yvonne Girard, Corinne Muller, Patrick Rousset:
  Daily Electrical Power Curves: Classification and Forecasting Using a Kohonen Map. 1107-1113
  
• Gilles Mercier, Kurosh Madani:
  CMAC Real-Time Adaptive Control Implementation on a D.S.P. Based Card. 1114-1120
  
• Inma Ortuño Ortin, Joan Serra-Sagristà:
  Neural Networks in Digital Data Transmission. 1121-1127
  
• Morteza Saheb Zamani, Graham R. Hellestrand:
  A New Neural Network Approach to the Floorplanning of Hierarchical VLSI Designs. 1128-1134
  
• Thomas Stützle:
  A Neural Network Approach to Quality Control Charts. 1135-1141
  
• Eugenio Fernández, Ignacio Olmeda:
  Bankruptcy Prediction with Artificial Neural Networks. 1142-1146
  

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