IWANN 2001: Granada, Spain - Volume 1

Foundations of Connectionism and Biophysical Models of Neurons

• Oscar Herreras, José Manuel Ibarz, L. López-Aguado, Pablo Varona:
  Dendrites: The Last Generation Computers. 1-13
  
• Etelvina Andreu, Raquel Pomares, Bernat Soria, Juan Vicente Sánchez-Andrés:
  Homogeneity in the Electrical Activity Pattern as a Function of Intercellular Coupling in Cell Networks. 14-20
  
• Eduardo Sánchez Vila, Senén Barro, Jorge Mariño, Antonio Canedo:
  A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus. 21-29
  
• Ruggero Scorcioni, Giorgio A. Ascoli:
  Algorithmic Extraction of Morphological Statistics from Electronic Archives of Neuroanatomy. 30-37
  
• José Mira, Ana E. Delgado García:
  What Can We Compute with Lateral Inhibition Circuits? 38-46
  
• Jianfeng Feng:
  Neuronal Models with Current Inputs. 47-54
  
• José Manuel Ferrández de Vicente, Markus Bongard, Francisco García de Quirós, Jose Angel Bolea, Josef Ammermüller, Richard A. Normann, Eduardo Fernández:
  Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory. 55-62
  
• Roustem Miftakov, James Christensen:
  Numerical Study of Effects of Co-transmission by Substance P and Acetylcholine on Synaptic Plasticity in Myenteric Neurons. 63-71
  
• Reza Rajimehr, Leila Montaser Kouhsari:
  Neurobiological Modeling of Bursting Response During Visual Attention. 72-80
  
• Konstantin A. Saltykov, Igor A. Shevelev:
  Sensitivity of Simulated Striate Neurons to Cross-Like Stimuli Based on Disinhibitory Mechanism. 81-86
  
• Santi Chillemi, Michele Barbi, Angelo Di Garbo:
  Synchronisation Mechanisms in Neuronal Networks. 87-94
  
• Tino Lourens, Hiroshi G. Okuno, Hiroaki Kitano:
  Detection of Oriented Repetitive Alternating Patterns in Color Images (A Computational Model of Monkey Grating Cells). 95-107
  
• Ernesto Pereda, Joydeep Bhattacharya:
  Synchronization in Brain - Assessment by Electroencephalographic Signals. 108-116
  
• Manuel A. Sánchez-Montañés:
  Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neurons. 117-125
  

Structural and Functional Models of Neurons

• Tetsuto Minami, Toshio Inui:
  A Neural Network Model of Working Memory (Processing of "What" and "Where" Information). 126-133
  
• Mehdi N. Shirazi:
  Orientation Selectivity of Intracortical Inhibitory Cells in the Striate Visual Cortex: A Computational Theory and a Neural Circuitry. 134-141
  
• Claudio Moraga, Luis Salinas:
  Interpreting Neural Networks in the Frame of the Logic of Lukasiewicz. 142-149
  
• Isabel Gonzalo, Miguel A. Porras:
  Time-Dispersive Effects in the J. Gonzalo's Research on Cerebral Dynamics. 150-157
  
• Pedro Rodrigues, José Félix Costa, Hava T. Siegelmann:
  Verifying Properties of Neural Networks. 158-165
  
• José Andrés Berzal, Pedro J. Zufiria:
  Algorithms and Implementation Architectures for Hebbian Neural Networks. 166-173
  
• Flávio Joaquim de Souza, Marley B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco:
  The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting. 174-183
  
• José Barahona da Fonseca, Isabel Barahona da Fonseca, Carmen Paz Suárez Araujo, José Simões da Fonseca:
  The Chemical Metaphor in Neural Computation. 184-195
  
• Tai-Wen Yue, Suchen Chiang:
  The General Neural-Network Paradigm for Visual Cryptography. 196-206
  
• José Santos Reyes, Richard J. Duro:
  Pi-DTB, Discrete Time Backpropagation with Product Units. 207-214
  
• Shunji Satoh, Shogo Miyake, Hirotomo Aso:
  Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources. 215-222
  
• J. David Buldain Pérez:
  Classification with Synaptic Radial Basis Units. 223-234
  
• Naoyuki Tsuruta, Yuichiro Yoshiki, Tarek El. Tobely:
  A Randomized Hypercolumn Model and Gesture Recognition. 235-242
  
• Sergio Negri, Lluís Belanche:
  Heterogeneous Kohonen Networks. 243-252
  
• J. David Buldain Pérez:
  Divided-Data Analysis in a Financial Case Classification with Multi-dendritic Neural Networks. 253-268
  
• Ajith Abraham:
  Neuro Fuzzy Systems: Sate-of-the-Art Modeling Techniques. 269-276
  
• Rudy Setiono:
  Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation. 277-284
  
• Armando Blanco, Miguel Delgado, Marial del Carmen Pegalajar Jiménez, Ignacio Requena:
  Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks. 285-292
  
• Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
  A Measure of Noise Immunity for Functional Networks. 293-300
  
• Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
  A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. 301-307
  
• Antonio S. Cofiño, José Manuel Gutiérrez:
  Optimal Modular Feedforward Neural Nets Based on Functional Network Architectures. 308-315
  
• Enrique Castillo, Ali S. Hadi, Beatriz Lacruz:
  Optimal Transformations in Multiple Linear Regression Using Functional Networks. 316-324
  

Learning and Other Plasticity Phenomena, and Complex Systems Dynamics

• Shun-ichi Amari, Tomoko Ozeki, Hyeyoung Park:
  Generalization Error and Training Error at Singularities of Multilayer Perceptrons. 325-332
  
• Vladimir Chinarov, Michael Menzinger:
  Bistable Gradient Neural Networks: Their Computational Properties. 333-338
  
• Sean Snyders, Christian W. Omlin:
  Inductive Bias in Recurrent Neural Networks. 339-346
  
• Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón:
  Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks. 347-354
  
• José Antonio Gómez-Ruiz, José Muñoz-Pérez, Ezequiel López-Rubio, M. Angeles García-Bernal:
  Expansive and Competitive Neural Networks. 355-362
  
• Joern Fischer, Ralph Breithaupt, Mathias Bode:
  Fast Function Approximation with Hierarchical Neural Networks and Their Application to a Reinforcement Learning Agent. 363-369
  
• Hiroyuki Okada, Hiroshi Yamakawa, Takashi Omori:
  Two Dimensional Evaluation Reinforcement Learning. 370-377
  
• Hiroshi Yamakawa, Yuji Miyamoto, Hiroyuki Okada:
  Comparing the Learning Processes of Cognitive Distance Learning and Search Based Agent. 378-385
  
• Andries Petrus Engelbrecht:
  Selective Learning for Multilayer Feedforward Neural Networks. 386-393
  
• Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado:
  Connectionist Models of Cortico-Basal Ganglia Adaptive Neural Networks During Learning of Motor Sequential Procedures. 394-401
  
• Hyeyoung Park:
  Practical Consideration on Generalization Property of Natural Gradient Learning. 402-408
  
• Ganesh Arulampalam, Abdesselam Bouzerdoum:
  Novel Training Algorithm Based on Quadratic Optimisation Using Neural Networks. 410-417
  
• Jianfeng Feng:
  Non-symmetric Support Vector Machines. 418-426
  
• José R. Dorronsoro, Ana M. González, Carlos Santa Cruz:
  Natural Gradient Learning in NLDA Networks. 427-434
  
• Iuri Wickert, Felipe M. G. França:
  AUTOWISARD: Unsupervised Modes for the WISARD. 435-441
  
• Gordon Milligan, Michael K. Weir, Jonathan P. Lewis:
  Neural Steering: Diffcult and Impossible Sequential Problems for Gradient Descent. 442-449
  
• Jong-Min Lee, Dae-Jin Kim, In-Young Kim, Sun I. Kim:
  Analysis of Scaling Exponents of Waken and Sleeping Stage in EEG. 450-456
  
• Xavier Blasco Ferragud, Miguel Andres Martínez Iranzo, Juan S. Senent Español, Javier Sanchis:
  Model Based Predictive Control Using Genetic Algorithms. Application to Greenhouses Climate Control. 457-465
  
• Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Miguel Andres Martínez Iranzo, Juan S. Senent Español:
  Nonlinear Parametric Model Identification with Genetic Algorithms. Application to a Thermal Process. 466-473
  
• Carlos Cotta, José M. Troya:
  A Comparison of Several Evolutionary Heuristics for the Frequency Assignment Problem. 474-481
  
• Horacio M. González Velasco, Carlos J. García Orellana, Miguel Macías Macías, M. Isabel Acevedo Sotoca:
  GA Techniques Applied to Contour Search in Images of Bovine Livestock. 482-489
  
• Francisco de Borja Rodríguez Ortiz, Pablo Varona, Ramón Huerta, Mikhail I. Rabinovich, Henry D. I. Abarbanel:
  Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information. 490-497
  
• Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega:
  RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting. 498-505
  
• Víctor Manuel Rivas Santos, Pedro A. Castillo Valdivieso, Juan J. Merelo Guervós:
  Evolving RBF Neural Networks. 506-513
  
• Germán Gutiérrez, Pedro Isasi, José M. Molina, Araceli Sanchís, Inés María Galván:
  Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. 514-521
  
• Enrique Mérida Casermeiro, José Muñoz, Rafaela Benítez:
  A Recurrent Multivalued Neural Network for the N-Queens Problem. 522-529
  
• Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas:
  A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time. 530-537
  
• Jesús González, Ignacio Rojas, Héctor Pomares, Moisés Salmerón:
  Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks. 538-545
  
• Emílio Del Moral Hernandez:
  Studying Neural Networks of Bifurcating Recursive Processing Elements - Quantitative Methods for Architecture Design and Performance Analysis. 546-553
  
• Valery Tereshko:
  Topology-Preserving Elastic Nets. 554-560
  
• Mikiya Oota, Naohiro Ishii, Koichiro Yamauchi, Mayumi Nakamura:
  Optimization with Linear Constraints in the Neural Network. 561-569
  
• Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, Alberto Prieto:
  Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules. 570-578
  
• José D. Piñeiro, Roberto L. Marichal, Lorenzo Moreno, José F. Sigut, Evelio J. González:
  Study of Chaos in a Simple Discrete Recurrence Neural Network. 579-585
  
• Habiba Drias:
  Genetic Algorithm versus Scatter Search and Solving Hard MAX-W-SAT Problems. 586-593
  
• Michael Affenzeller:
  A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA). 594-601
  
• Nadia Jacoby:
  Evolution of Firms in Complex Worlds Generalized NK Models. 602-611
  
• Santiago Garrido, Luis Moreno:
  Learning Adaptive Parameters with Restricted Genetic Optimization Method. 612-620
  
• Juan Castellanos, Carlos Martín-Vide, Victor Mitrana, José M. Sempere:
  Solving NP-Complete Problems With Networks of Evolutionary Processors. 621-628
  
• Gustavo Romero, Pedro A. Castillo Valdivieso, Juan J. Merelo Guervós, Alberto Prieto:
  Using SOM for Neural Network Visualization. 629-636
  
• Françoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet:
  Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context. 637-644
  
• Nicolás García-Pedrajas, Eloy Sanz-Tapia, Domingo Ortiz-Boyer, César Hervás-Martínez:
  Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. 645-652
  
• Robert Burbidge, Matthew W. B. Trotter, Bernard F. Buxton, Sean B. Holden:
  STAR - Sparsity through Automated Rejection. 653-660
  
• Cecilio Angulo, Andreu Català:
  Ordinal Regression with K-SVCR Machines. 661-668
  
• Sergio Bermejo, Joan Cabestany:
  Large Margin Nearest Neighbor Classifiers. 669-676
  
• Winfried A. Fellenz:
  Reduced Support Vector Selection by Linear Programs. 677-684
  
• Hilario Gómez-Moreno, Saturnino Maldonado-Bascón, Francisco López-Ferreras:
  Edge Detection in Noisy Images Using the Support Vector Machines. 685-692
  
• Camino R. Vela, Ramiro Varela, Jorge Puente:
  Initialization in Genetic Algorithms for Constraint Satisfaction Problems. 693-700
  
• Jorge Muruzábal:
  Evolving High-Posterior Self-Organizing Maps. 701-708
  
• Rafael Nogueras, Carlos Cotta:
  Using Statistical Techniques to Predict GA Performance. 709-716
  
• Julian Dorado, Antonino Santos, Juan R. Rabuñal:
  Multilevel Genetic Algorithm for the Complete Development of ANN. 717-724
  
• Antonio Miguel López Rodríguez, Hilario López García, Luciano Sánchez:
  Graph Based GP Applied to Dynamical Systems Modeling. 725-732
  
• Terence Kwok, Kate A. Smith:
  Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation. 733-740
  
• Kate A. Smith, Jatinder N. D. Gupta:
  Continuous Function Optimisation via Gradient Descent on a Neural Network Approximation Function. 741-748
  
• Pablo Cortés, Fernando Guerrero, David Canca, José M. García:
  An Evolutionary Algorithm for the Design of Hybrid Fiber Optic-Coaxial Cable Networks in Small Urban Areas. 749-756
  
• Sa Li, Lipo Wang:
  Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing. 757-764
  

Artificial Intelligence and Cognitive Processes

• Igor Aleksander, Helen Morton, Barry Dunmall:
  Seeing is Believing: Depictive Neuromodeling of Visual Awareness. 765-771
  
• José Mira, Rafael Martínez, José R. Álvarez, Ana E. Delgado García:
  DIAGEN-WebDB: A Connectionist Approach to Medical Knowledge Representation and Inference. 772-782
  
• Janet Aisbett, Greg Gibbon:
  Conceptual Spaces as Voltage Maps. 783-790
  
• Guido Bologna:
  Determining Hyper-planes to Generate Symbolic Rules. 791-798
  
• Agapito Ledezma, Antonio Berlanga, Ricardo Aler:
  Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. 799-806
  
• J. G. (Iain) Wallace, Kevin Bluff:
  ANNs and the Neural Basis for General Intelligence. 807-813
  
• Juan Carlos Herrero:
  Knowledge and Intelligence. 814-820
  
• Iara Moema Oberg Vilela, Priscila Machado Vieira Lima:
  Conjecturing the Cognitive Plausibility of an ANN Theorem-Prover. 822-830