Biological Foundations of Neural Computation

• 
  Javier De Felipe: Microcircuits in the Brain. 1-14
• 
  José Mira, Ana E. Delgado García: Some Reflections on the Relationships Between Neuroscience and Computation. 15-26
• 
  Casto Rivadulla, Javier Cudeiro: Different Types of Temporal Correlations Obtained in Pairs of Thalamic Visual Neurons Suggest Different Functional Patterns of Connectivity. 27-34
• 
  Enrique M. Muro, Pedro Isasi, Miguel A. Andrade, Federico Morán: Development of On-Off and Off-On Receptive Fields Using a Semistochastic Model. 35-43
• 
  Shy Shoham, Remus Osan, Josef Ammermüller, Almut Branner, Eduardo Fernández, Richard A. Normann: The Classification of Spatial, Chromatic, and Intensity Features of Simple Visual Stimuli by a Network of Retinal Ganglion Cells. 44-53
• 
  Igor A. Shevelev, Konstantin A. Saltykov, George A. Sharaev: Geometric Model of Orientation Tuning Dynamics in Striate Neurons. 54-60
• 
  J. A. Luis de la Iglesia, C. López-García: Neuronal Circuitry in the Medial Cerebral Cortex of Lizards. 61-71
• 
  Rafael Alonso Solís, Ignacio López-Coviella, Francisco Javier Hernández Díaz, Pedro Abreu González, Eduardo Salido Ruíz, L. Tabares: Interactions Between Environmental and Hormonal Oscillations Induce Plastic Changes in a Simple Neuroendocrine Transducer. 72-81
• 
  Pablo Varona, José Manuel Ibarz, Juan Alberto Sirüenza, Oscar Herreras: Current Source Density Analysis as a Tool to Constrain the Parameter Space in Hippocampal CAI Neuron Models. 82-90
• 
  Nico Stollenwerk, Liset Menendez de la Prida, Juan Vicente Sánchez-Andrés: Spontaneous Activity of Hippocampal Cells in Various Physiological States. 91-102
• 
  Boris Aleksandrovsky, Fernando Brücher, Gary Lynch, Richard Granger: Neural Network Model of Striatal Complex. 103-115
• 
  Thomas J. Anastasio: Symmetry and Self-Organization of the Oculo-Motor Neural Integrator. 116-123
• 
  José María Delgado-García, Agnès Gruart, J. A. Domingo, J. A. Trigo: Quantal Neural Mechanisms Underlying Movement Execution and Motor Learning. 124-132
• 
  Jeffrey L. Krichmar, Giorgio A. Ascoli, Lawrence Hunter, James L. Olds: A Model of Cerebellar Saccadic Motor Learning Using Qualitative Reasoning. 133-145
• 
  Etelvina Andreu, Raquel Pomares, Bernat Soria, Juan Vicente Sánchez-Andrés: Balance Between Intercellular Coupling and Input Resistence as a Necessary Requirement for Oscillatory Electrical Activity in Pancreatic beta-Cells. 146-153
• 
  Liset Menendez de la Prida, Juan Vicente Sánchez-Andrés: Mechanisms of Synchronization in the Hyppocampus and Its Role Along Development. 154-161
• 
  R. M. Reyes, Conrado J. Pérez Vicente: Analysis of Synfire Chains Above Saturation. 162-168
• 
  Isabel Gonzalo: Allometry in the Justo Gonzalo's Model of the Sensorial Cortex. 169-177

Formal Tools and Computational Models of Neurons and Neural Net Architectures

• 
  Roberto Moreno-Díaz: System Models of Retinal Cells: A Classical Example. 178-194
• 
  José Mira, Juan Carlos Herrero, Ana E. Delgado García: A Generic Formulation of Neural Nets as a Model of Parallel and Self-Programming Computation. 195-206
• 
  Juan Miguel Santos, Lidia Szczupak: Using an Artificial Neural Network for Studying the Interneuronal Layer of a Leech Neuronal Circuit. 207-216
• 
  Victor Giménez, M. Pérez-Castellanos, J. Rios Carrion, Luis Fernando de Mingo López: Capacity and Parasitic Fixed Points Control in a Recursive Neural Network. 217-226
• 
  Melanie Hilario, Ahmed Rida: The Use of Prior Knowledge in Neural Network Configuration and Training. 227-236
• 
  Julio J. Valdés, Ricardo García: A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems. 237-246
• 
  Mehdi N. Shirazi, Yoshikazu Nishikawa: A Computation Theory for Orientation-Selective Simple Cells Based on the MAP Estimation Principle and Markov Random Fields. 247-256
• 
  Anthony C. C. Coolen, Laura Viana: Competition Between Feed-Forward and Lateral Information Processing in Layered Neural Networks. 257-264
• 
  Berthold Ruf: Computing Functions with Spiking Neurons in Temporal Coding. 265-272
• 
  Leonardo Maria Reyneri: An Introduction to Fuzzy State Automata. 273-283
• 
  Shun-ichi Amari, Noboru Murata: Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View. 284-293
• 
  R. Sanz Guadarrama, Yannis A. Dimitriadis, Gregorio Ismael Sainz Palmero, J. Manuel Cano Izquierdo, Juan López Coronado: Building Digital Libraries from Paper Documents, Using ART Based Neuro-Fuzzy Systems. 294-303
• 
  José Santos Reyes, Manuel Cabarcos, Ramón P. Otero, José Mira: Parallelization of Connectionist Models Based on a Symbolic Formalism. 304-312
• 
  Montserrat García del Valle, Carlos J. García Orellana, Francisco Javier López Aligué, M. Isabel Acevedo Sotoca: Generic Neural Network Model and Simulation Toolkit. 313-322
• 
  Patrick M. Wong, Kok Wai Wong, Chun Che Fung, Tamás D. Gedeon: A Neural-Fuzzy Technique for Interpolating Spatial Data via the Use of Learning Curve. 323-329
• 
  Bao-Liang Lu, Masami Ito: Task Decomposition Based on Class Relations: A Modular Neural Network Architecture for Pattern Classification. 330-339
• 
  João Pedro Guerreiro Neto, José Félix Costa, Helder Coelho: Lower Bounds of Computational Power of a Synaptic Calculus. 340-348
• 
  Andreas Hadjiprocopis, Peter Smith: Feed Forward Neural Network Entities. 349-359

Plasticity Phenomena (Maturing, Learning and Memory)

• 
  J. G. (Iain) Wallace, Kevin Bluff: Astrocytes and Slow Learning in the Formation of Distal Cortical Associations. 360-369
• 
  László Orzó, Elemér Lábos: Adaptation and Other Dynamic Effects on Neural Signal Transfer. 370-379
• 
  Berthold Ruf, Michael Schmitt: Hebbian Learning in Networks of Spiking Neurons Using Temporal Coding. 380-389
• 
  Jun Nishii: An Associative Learning Model for Coupled Neural Oscillators. 390-397
• 
  Akira Imada, Keijiro Araki: Random Perturbations to Hebbian Synapses of Associative Memory Using a Genetic Algorithm. 398-407
• 
  Margarita Kuzmina, Irina Surina: Phase Memory in Oscillatory Networks. 408-416
• 
  Nabil H. Farhat, Emílio Del Moral Hernandez, Gee-Hyuk Lee: Strategies for Autonomous Adaptation and Learning in Dynamical Networks. 417-426
• 
  Winfried A. Fellenz: Modeling in the Parallel Development of Multiple Featuremaps and Topography in Visual Cortex. 427-432
• 
  Francisco de Borja Rodríguez Ortiz, Vicente López: Stability and Hebbian Learning in Populations of Probabilistic Neurons. 433-442
• 
  Hervé Dedieu, A. Flanagan, A. Robert: Stochastic Approximation Techniques and Circuits and Systems Associated Tools for Neural Network Optimization. 443-452
• 
  Mikel L. Forcada, Ramón P. Ñeco: Recursive Hetero-associative Memories for Translation. 453-462
• 
  Naum N. Aizenberg, Igor N. Aizenberg: Universal Binary and Multi-values Neurons Paradigm: Conception, Learning, Applications. 463-472
• 
  Ursula Iturranrán, Antonia J. Jones: Learning a Markov Process with a Synchronous Boltzmann Machine. 473-482
• 
  Yasuo Matsuyama: The Alpha-EM Algorithm: A Block Connectable Generalized Learning Tool for Neural Networks. 483-492
• 
  M. Asunción Castaño, Francisco Casacuberta, A. Bonet: Training Simple Recurrent Networks Through Gradient Descent Algorithms. 493-500
• 
  Santiago Rementeria, Xabier Olabe: On Simultaneous Weight and Architecture Learning. 501-509
• 
  Kalyani Govinda Char: Evolution of Structure and Learning - A GP approach. 510-517

Complex System Dynamics

• 
  Satoshi Maekawa, Hidefumi Sawai: Self-Organizing Formation of Receptive Fields and Competitive Systems. 518-526
• 
  Arnaud Ribert, Emmanuel Stocker, Yves Lecourtier, Abdel Ennaji: Optimizing a Neural Network Architecture with an Adaptive Parameter Genetic Algorithm. 527-535
• 
  Antonio Bahamonde, Enrique A. de la Cal, José Ranilla, Jaime Alonso: Self-Organizing Symbolic Learned Rules. 536-545
• 
  Jianfeng Feng, David Brown: Viewing a Class of Neurodynamics on Parameter Space. 546-555
• 
  Gonzalo Joya Caparrós, Miguel A. Atencia Ruiz, Francisco Sandoval Hernández: Hopfield Neural Network Applied to Optimization Problems: Some Theoretical and Simulation Results. 556-565
• 
  Camino R. Vela, Cesar Alonso, Ramiro Varela, Jorge Puente: A Genetic Approach to Computing Independent AND Parallelism in Logic Programs. 566-575
• 
  F. Gagné, C. Blaise: Predicting Toxicity of Complex Mixtures by Artificial Neural Networks. 576-587
• 
  Christophe G. Molina, William J. Fitzgerald, Peter J. W. Rayner: Regularisation by Convolution in Symmetric-alpha-Stable Function Networks. 588-596
• 
  Igor Grabec, Simon Mandelj: Continuation of Chaotic Fields by RBFNN. 597-606
• 
  A. Chinea, Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany: Improving the Performance of Piecewise Linear Separation Incremental Algorithms for Practical Hardware Implementations. 607-616

Cognitive Science and AI

• 
  Guido Bologna, Christian Pellegrini: Accurate Decomposition of Standard MLP Classification Responses into Symbolic Rules. 617-627
• 
  Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Soledad Prados-Méndez, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas: A Hybrid Intelligent System for the Preprocessing of Fetal Heart Rate Signals in Antenatal Testing. 628-633
• 
  L. Andrew Coward: The Pattern Extraction Architecture: A Connectionist Alternative to the Von Neumann Architecture. 634-643
• 
  Nicolae B. Szirbik: A Two-level Heterogeneous Hybrid Model. 644-650
• 
  Jürgen Rahmel, Christian Blum, Peter Hahn: Interpretation of a Hierarchical Neural Network. 651-659
• 
  José Barahona da Fonseca, Isabel Barahona da Fonseca, José Simões da Fonseca: Cognitive Processes in Social Interaction - A Neural Networks Approach. 660-667
• 
  Hanna Majewski, Janet Wiles: Adding Phase to Recurrent Backpropagation Networks: An Application to Binding Tasks in Vision. 668-677
• 
  Fernando J. Corbacho, Michael A. Arbib: Schema-Based Learning: Biologically Inspired Principles of Dynamic Organization. 678-687

Neural Nets Simulation, Emulation and Implementation

• 
  Paolo Ienne: Digital Connectionist Hardware: Current Problems and Future Challenges. 688-713
• 
  Alfred Strey: EpsiloNN - A Specification Language for the Efficient Parallel Simulation of Neural Networks. 714-722
• 
  Simon M. Lucas: Forward-Backward Building Blocks for Evolving Neural Networks with Intrinsic Learning Behaviors. 723-732
• 
  Nick K. Treadgold, Tamás D. Gedeon: A Cascade Network Algorithm Employing Progressive RPROP. 733-742
• 
  Valeriu Beiu, Thierry de Pauw: Tight Bounds on the Size of Neural Networks for Classification Problems. 743-752
• 
  Sorin Draghici, Ishwar K. Sethi: On the Possibilities of the Limited Precision Weights Neural Networks in Classification Problems. 753-762
• 
  José Luis Bernier, Julio Ortega, Alberto Prieto: A Modified Backpropagation Algorithm to Tolerate Weight Errors. 763-771
• 
  Stefan Rüping, Mario Porrmann, Ulrich Rückert: A High Performance SOFM Hardware-System. 772-781
• 
  Andreas König: On Application Incentive and Constraints for Neural Network Hardware Development. 782-791
• 
  Krste Asanovic: A Fast Kohonen Net Implementation for Spert-II. 792-800
• 
  Jordi Madrenas, Gregorio Ruiz, Juan Manuel Moreno, Joan Cabestany: Synthesis and Optimization of a Bit-Serial Pipeline Kernel Processor. 801-810
• 
  Francisco Colodro Ruiz, Antonio Jesús Torralba Silgado, Ramón González Carvajal, Leopoldo García Franquelo: A Hardware Implementation of CNNs Based on Pulse Stream Techniques. 811-816
• 
  Bertrand Granado, Patrick Garda: Evaluation of the CNAPS Neuro-Computer for the Simulation of MLPs with Receptive Fields. 817-824
• 
  Ramón González Carvajal, Antonio Jesús Torralba Silgado, Francisco Colodro Ruiz, Leopoldo García Franquelo: AFAN, a Tool for the Automatic Design of Fuzzy and Neural Controllers. 825-833
• 
  Francisco Colodro Ruiz, Antonio Jesús Torralba Silgado, Ramón González Carvajal, Leopoldo García Franquelo: A Fully Stochastic Fuzzy Logic Controller. 834-840
• 
  Abdennasser Chebira, Kurosh Madani, Gilles Mercier: Multi-neural Networks Hardware and Software Architecture: Application of the Divide To Simplify Paradigm DTS. 841-850
• 
  José Matas, Luis García de Vicuña, Mariano López, Juan Manuel Moreno: A Fuzzy Controller for Switching Regulators with Programmable Control Surfaces. 851-860

Methodology for Data Analysis, Task Selection and Nets Design

• 
  Marie Cottrell, Patrick Rousset: The Kohonen Algorithm: A Powerful Tool for Analyzing and Representing Multidimensional Quantitative and Qualitative Data. 861-871
• 
  Anne Guérin-Dugué, Pascal Teissier, Jean-Luc Schwartz, Jeanny Hérault: Constrained Neural Network for Estimating Sensor Reliability in Sensors Fusion. 872-881
• 
  Ignacio Rojas, Olga Valenzuela, Alberto Prieto: Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks. 882-891
• 
  José R. Álvarez: Structural Level Comparison of Two Basic Paradigms in Neural Computation. 892-902
• 
  Emilia I. Barakova, Lambert Spaanenburg: Symmetry: Between Indecision and Equality of Choice. 903-912
• 
  Joachim Utans: A Non-convergent On-Line Training Algorithm for Neural Networks. 913-921
• 
  Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany, J. R. Laúna: Using Classical and Evolutive Neural Models in Industrial Applications: A Case Study for an Automatic Coin Classifier. 922-931
• 
  Joaquín Dopazo, Huaichun Wang, José María Carazo: A New Type of Unsupervised Growing Neural Network for Biological Sequence Classification That Adopts the Topology of a Phylogenetic Tree. 932-941
• 
  Emma Braithwaite, Jimmy Dripps, Andrew Lyon, Alan F. Murray: Classification of the Onset of Respiratory Difficulties in Ventilation Assisted Neonates. 942-951
• 
  Vicente Moret-Bonillo, Jorge Díaz-Fernández, Elena Hernández-Pereira: A Neural Network Approach for Symbolic Interpretation in Critical Care. 952-961
• 
  Richard J. Duro, José Santos Reyes: ECG Beat Classification with Synaptic Delay Based Artificial Neural Networks. 962-970
• 
  Fidimahery Andrianasy, Maurice Milgram: Neural Network-Based Insulin Infusion Control for an Insulin-Pump, Using Discontinuous Blood Glucose Measurements. 971-977
• 
  Ll. Porta, Rosa Villa, Luis Prieto, E. Andia, Elena Valderrama: Infraclinic Breast Carcinoma: Application of Neural Networks Techniques for the Indication of Radioguided Biopsias. 978-985
• 
  Mario Reyes de los Mozos, Elena Valderrama, Rosa Villa, J. Roig, Alfonso Antón, José Carlos Pastor Jimeno: Detection of Glaucoma by Means on ANNs. 986-994
• 
  Amparo Alonso-Betanzos, Eduardo Mosqueira-Rey, Belén Baldonedo del Río: A Comparative Analysis of the Neonatal Prognosis Problem Using Artificial Neural Networks, Statistical Techniques and Certainty Management Techniques. 995-1004

Neural Networks for Perception

• 
  Reinhard Eckhorn: Models of Visual Processing Derived from Cortical Microelectrode Recordings. 1005-1027
• 
  Michael H. W. Smart: Rotation Invariant IR Object Recognition Using Adaptive Kernel Subspace Projections with a Neural Network. 1028-1037
• 
  Gonzalo Joya Caparrós, Francisco Sandoval Hernández: Neural Networks Based Projectivity Invariant Recognition of Flat Patterns. 1038-1047
• 
  Lambert Spaanenburg, J. deGraaf, J. A. G. Nijhuis, H. Stevens, W. Wichers: The Instant Laboratory: Bringing Intelligence to the Workfloor. 1048-1057
• 
  José Manuel Ferrández de Vicente, D. del Valle, María Victoria Rodellar Biarge, Pedro Gómez Vilda: A Biological Front-End Processing for Speech Recognition. 1058-1067
• 
  Gustavo Hernández Ábrego, Enrique Monte, José B. Mariño: Non Parametric Coding of Speech by Means of a MLP with Hints. 1068-1074
• 
  Abderrahim Labbi, Ruggero Milanese, Holger Bosch: Gray-Level Object Segmentation with a Network of FitzHugh-Nagumo Oscillators. 1075-1084
• 
  Cristian Croll, Denis Pellerin, Jeanny Hérault: Multidimensional Filtering Inspired by Retino-cortical Projection: Application to Texture Segmentation. 1085-1094
• 
  Alberto Prieto, Carlos García Puntonet, Beatriz Prieto, Manuel Rodríguez Álvarez: A Competitive Neural Network for Blind Separation of Sources Based on Geometric Properties. 1095-1106
• 
  Chang-Han Yi, Robert Schlabbach, Holger Kroth, Heinrich Klar: A New Bio-inspired Algorithm for Early Vision Edge Detection and Image Segmentation. 1107-1114
• 
  Naohiro Ishii, Ken-ichi Naka: Function of Biological Asymmetrical Neural Networks. 1115-1125
• 
  Paul M. Hofman, A. John van Opstal: Identification of Spectral Features as Sound Localization Cues in the External Ear Acoustics. 1126-1135
• 
  Felix Freitag, Enrique Monte: Phoneme Recognition by Means of Predictive Neural Networks. 1136-1143
• 
  Yonggwan Won, Bae-Ho Lee, Yong-Chang Baek, Jung-Soo Lee: Shift-Invariant Fuzzy-Morphology Neural Network for Occluded Target Recognition. 1144-1153
• 
  Marcos Faúndez-Zanuy, Enrique Monte, Francesc Vallverdú: A Comparative Study Between Linear and Nonlinear Speech Prediction. 1154-1163
• 
  Peter Kalocsai: Recognition Model with Extension Fields. 1164-1173
• 
  Juan J. Merelo Guervós, Alberto Prieto, Federico Morán, Roberto Marabini, José María Carazo: A GA-optimized Neural Network for Classification of Biological Particles from Electron-Microscopy Images. 1174-1182
• 
  Jesús Brezmes Llecha, Nicolau Cañellas Alberich, Eduard Llobet Valero, Xavier Vilanova Salas, Xavier Correig Blanchar: Application of Artificial Neural Networks to the Design and Implementation of Electronic Olfactory Systems. 1183-1192
• 
  David López Vilariño, Diego Cabello, Antonio Mosquera González, Xosé Manuel Pardo López: Application of a Multilayer Discrete-Time CNN to Deformable Models. 1193-1202
• 
  Francisco Díaz Pérez, José Manuel Ferrández de Vicente, Pedro Gómez Vilda, María Victoria Rodellar Biarge, Victor Nieto Lluis: Spoken-Digit Recognition Using Self-Organizing Maps with Perceptual Pre-processing. 1203-1212

Neural Networks for Communications, Control and Robotics

• 
  Carlos Santa Cruz, José R. Dorronsoro, Juan A. Sigüenza, Vicente López: Noise Discrimination and Autoassociative Neural Networks. 1213-1220
• 
  Julio Ortega, Luis Parrilla, Alberto Prieto, Antonio Lloris-Ruíz, Carlos García Puntonet: Modified Boltzmann Machine for an Efficient Distributed Implementation. 1221-1232
• 
  Arcadio Reyes, Eduardo Casilari, Antonio Díaz Estrella, Francisco Sandoval Hernández: Simulation of MPEG Video Traffic Using Neural Networks. 1233-1240
• 
  Héctor M. Pérez Meana, Mariko Nakano-Miyatake: A Continuous Time Structure for Filtering and Prediction Using Hopfield Neural Networks. 1241-1250
• 
  Andrés Pérez-Uribe, Eduardo Sanchez: Structure-Adaptable Neurocontrollers: A Hardware-Friendly Approach. 1251-1259
• 
  C. García-Berdonés, J. Narváez, U. Fernández, Francisco Sandoval Hernández: A New QRS Detector Based on Neural Network. 1260-1269
• 
  O. Bella, C. Cortés, A. Tomás: Application of Neural Networks for Local Modelization of the Boiler Furnace in Thermal Power Plants. 1270-1278
• 
  Frank Pasemann, Ulf Dieckmann: Evolved Neurocontrollers for Pole-Balancing. 1279-1287
• 
  Pedro Hernández-Arauzo, Secundino López-García, Antonio Bahamonde: Artificial Neural Networks for the Computation of Traffic Queues. 1288-1297
• 
  Pedro Isasi, José M. Molina López, Araceli Sanchis de Miguel: Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant. 1298-1306
• 
  Torsten Felzer, Peter Hartmann, Karlheinz Hohm, Peter Marenbach: Motor Sequence Processing with an Artificial Learning System. 1307-1314
• 
  Rafael L. Millán, José Manuel Quero Reboul, Leopoldo García Franquelo: On-line Continuous Weld Monitoring Using Neural Networks. 1315-1323
• 
  Pedro Martín, José del R. Millán: Combining Reinforcement Learning and Differential Inverse Kinematics for Collision-Free Motion of Multilink Manipulators. 1324-1333
• 
  Francisco Javier Marín Martín, Francisco Sandoval Hernández: Short-Term Peak Load Forecasting: Statistical Methods Versus Artificial Neural Networks. 1334-1343
• 
  Enrique Cervera, Angel P. Del Pobil: Integration of Self-Organizing Feature Maps and Reinforcement Learning in Robotics. 1344-1354
• 
  Ulrich Roth, Marc Walker, Arne Hilmann, Heinrich Klar: Dynamic Path Planning with Spiking Neural Networks. 1355-1363
• 
  Roberto Iglesias, Carlos V. Regueiro, José Correa, Senén Barro: Implementation of a Basic Reactive Behavior in Mobile Robotics Through Artificial Neural Networks. 1364-1373
• 
  Ghislain de Tremiolles, Pascal Tannhof, Brendan Plougonven, Claude Demarigny, Kurosh Madani: Visual Probe Mark Inspection, Using Hardware Implementation of Artificial Neural Networks, in VLSI Production. 1374-1383
• 
  José M. Ramírez: Teleoreactive Neural Networks. 1384-1394

last updated on Wed May 22 04:52:38 2013 by the dblp team
data released under the ODC-BY 1.0 license
see also our legal information page