Table of Contents

• Novelty Analysis in Dynamic Scene for Autonomous Mental DevelopmentSang-Woo Ban, Minho Lee. 1-6 [doi]
• The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron PopulationWen-Chuang Chou, Tsung-Ying Sun. 7-12 [doi]
• Short Term Memory and Pattern Matching with Simple Echo State NetworksGeorg Fette, Julian Eggert. 13-18 [doi]
• Analytical Solution for Dynamic of Neuronal PopulationsWentao Huang, Licheng Jiao, Shiping Ma, Yuelei Xu. 19-24 [doi]
• Dynamics of Cortical Columns - Sensitive Decision MakingJörg Lücke. 25-30 [doi]
• Dynamics of Cortical Columns - Self-organization of Receptive FieldsJörg Lücke, Jan D. Bouecke. 31-37 [doi]
• Optimal Information Transmission Through Cortico-Cortical SynapsesMarcelo A. Montemurro, Stefano Panzeri. 39-44 [doi]
• Ensemble of SVMs for Improving Brain Computer Interface P300 Speller PerformancesAlain Rakotomamonjy, Vincent Guigue, G. Mallet, V. Alvarado. 45-50 [doi]
• Modelling Path Integrator Recalibration Using Hippocampal Place CellsThomas Strösslin, Ricardo Chavarriaga, Denis Sheynikhovich, Wulfram Gerstner. 51-56 [doi]
• Coding of Objects in Low-Level Visual Cortical AreasNeill R. Taylor, Matthew Hartley, John G. Taylor. 57-63 [doi]
• A Gradient Rule for the Plasticity of a Neuron s Intrinsic ExcitabilityJochen Triesch. 65-70 [doi]
• Building the Cerebellum in a ComputerTadashi Yamazaki, Shigeru Tanaka. 71-77 [doi]
• Combining Attention and Value MapsStathis Kasderidis, John G. Taylor. 79-84 [doi]
• Neural Network with Memory and Cognitive FunctionsJanusz A. Starzyk, Yue Li, David D. Vogel. 85-90 [doi]
• Associative Learning in Hierarchical Self Organizing Learning ArraysJanusz A. Starzyk, Zhen Zhu, Yue Li. 91-96 [doi]
• A Review of Cognitive Processing in the BrainJohn G. Taylor. 97-102 [doi]
• Neuronal Behavior with Sub-threshold Oscillations and Spiking/Bursting Activity Using a Piecewise Linear Two-Dimensional MapCarlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano. 103-108 [doi]
• On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised LearningYoshiyuki Asai, Tatyana I. Aksenova, Alessandro E. P. Villa. 109-114 [doi]
• A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal SequencesJoy Bose, Stephen B. Furber, Jonathan L. Shapiro. 115-120 [doi]
• ANN-Based System for Sorting Spike Waveforms Employing Refractory PeriodsThomas Hermle, Martin Bogdan, Cornelius Schwarz, Wolfgang Rosenstiel. 121-126 [doi]
• Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent PlasticityJavier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa. 127-132 [doi]
• An Information Geometrical Analysis of Neural Spike SequencesKazushi Ikeda. 133-138 [doi]
• Perceptual Binding by Coupled Oscillatory Neural NetworkTeijiro Isokawa, Haruhiko Nishimura, Naotake Kamiura, Nobuyuki Matsui. 139-144 [doi]
• Experimental Demonstration of Learning Properties of a New Supervised Learning Method for the Spiking Neural NetworksAndrzej J. Kasinski, Filip Ponulak. 145-152 [doi]
• Single-Unit Recordings Revisited: Activity in Recurrent MicrocircuitsRaul Cristian Muresan, Gordon Pipa, Diek W. Wheeler. 153-159 [doi]
• A Hardware/Software Framework for Real-Time Spiking SystemsMatthias Oster, Adrian M. Whatley, Shih-Chii Liu, Rodney J. Douglas. 161-166 [doi]
• Efficient Source Detection Using Integrate-and-Fire NeuronsLaurent Perrinet. 167-172 [doi]
• A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural NetworksRogério M. Gomes, Antônio de Pádua Braga, Henrique E. Borges. 173-178 [doi]
• Balance Algorithm for Point-Feature Label Placement ProblemZheng He, Koichi Harada. 179-184 [doi]
• Models of Self-correlation Type Complex-Valued Associative Memories and Their DynamicsYasuaki Kuroe, Yuriko Taniguchi. 185-192 [doi]
• Recovery of Performance in a Partially Connected Associative Memory Network Through CodingKit Longden. 193-198 [doi]
• Optimal Triangle Stripifications as Minimum Energy States in Hopfield NetsJirí Síma. 199-204 [doi]
• A Biophysical Model of Decision Making in an Antisaccade Task Through Variable Climbing ActivityVassilis Cutsuridis, Ioannis Kahramanoglou, Stavros J. Perantonis, Ioannis Evdokimidis, Nikolaos Smyrnis. 205-210 [doi]
• Can Dynamic Neural Filters Produce Pseudo-Random Sequences?Yishai M. Elyada, David Horn. 211-216 [doi]
• Making Competition in Neural Fields Suitable for Computational ArchitecturesHervé Frezza-Buet, Olivier Ménard. 217-222 [doi]
• Neural Network Computations with Negative Triggering ThresholdsPetro M. Gopych. 223-228 [doi]
• A Model for Delay Activity Without Recurrent ExcitationMarc de Kamps. 229-234 [doi]
• Neuronal Coding Strategies for Two-Alternative Forced Choice TasksErich L. Schulzke, Christian W. Eurich. 235-240 [doi]
• Learning Features of Intermediate Complexity for the Recognition of Biological MotionRodrigo Sigala, Thomas Serre, Tomaso Poggio, Martin A. Giese. 241-246 [doi]
• Study of Nitric Oxide Effect in the Hebbian Learning: Towards a Diffusive Hebb s LawCarmen Paz Suárez Araujo, Pablo Fernández López, Patricio García Báez, José Regidor García. 247-253 [doi]
• Deterministic Modelling of Randomness with Recurrent Artificial Neural NetworksNorman U. Baier, Oscar De Feo. 255-260 [doi]
• Action Understanding and Imitation Learning in a Robot-Human TaskWolfram Erlhagen, Albert Mukovskiy, Estela Bicho, Giorgio Panin, Csaba Kiss, Alois Knoll, Hein T. van Schie, Harold Bekkering. 261-268 [doi]
• Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAsSimon Johnston, Girijesh Prasad, Liam P. Maguire, T. Martin McGinnity. 269-274 [doi]
• HYDRA: From Cellular Biology to Shape-Changing ArtefactsEsben Hallundbæk Østergaard, David J. Christensen, Peter Eggenberger, Tim Taylor, Peter Ottery, Henrik Hautop Lund. 275-281 [doi]
• The CIRCE Head: A Biomimetic Sonar SystemHerbert Peremans, Jonas Reijniers. 283-288 [doi]
• Tools for Address-Event-Representation Communication Systems and DebuggingManuel Rivas, Francisco Gomez-Rodriguez, R. Paz, Alejandro Linares-Barranco, Saturnino Vicente Diaz, D. Cascado. 289-296 [doi]
• New Ears for a Robot CricketBen Torben-Nielsen, Barbara Webb, Richard E. Reeve. 297-304 [doi]
• Reinforcement Learning in MirrorBotCornelius Weber, David Muse, Mark Elshaw, Stefan Wermter. 305-310 [doi]
• Varying the Population Size of Artificial Foraging Swarms on Time Varying LandscapesCarlos Fernandes, Vitorino Ramos, Agostinho C. Rosa. 311-316 [doi]
• Lamarckian Clonal Selection Algorithm with ApplicationWuhong He, Haifeng Du, Licheng Jiao, Jing Li. 317-322 [doi]
• Analysis for Characteristics of GA-Based Learning Method of Binary Neural NetworksTatsuya Hirane, Tetsuya Toryu, Hidehiro Nakano, Arata Miyauchi. 323-329 [doi]
• Immune Clonal Selection Wavelet Network Based Intrusion DetectionFang Liu, Lan Luo. 331-336 [doi]
• Investigation of Evolving Populations of Adaptive AgentsVladimir G. Red ko, Oleg P. Mosalov, Danil V. Prokhorov. 337-342 [doi]
• Enhancing Cellular Automata by an Embedded Generalized Multi-layer PerceptronGiuseppe A. Trunfio. 343-348 [doi]
• Intelligent Pattern Generation for a Tactile Communication SystemCarsten Wilks, Rolf Eckmiller. 349-356 [doi]
• Self-organizing Map InitializationMohammed Attik, Laurent Bougrain, Frédéric Alexandre. 357-362 [doi]
• Principles of Employing a Self-organizing Map as a Frequent Itemset MinerVicente O. Baez-Monroy, Simon O Keefe. 363-370 [doi]
• Spatio-Temporal Organization Map: A Speech Recognition ApplicationZouhour Neji Ben Salem, Fériel Mouria-beji, Farouk Kamoun. 371-378 [doi]
• Residual Activity in the Neurons Allows SOMs to Learn Temporal OrderPascual Campoy, Carlos J. Vicente. 379-384 [doi]
• Ordering of the RGB Space with a Growing Self-organizing Network. Application to Color Mathematical MorphologyFrancisco Flórez-Revuelta. 385-390 [doi]
• SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing MapsTetsuo Furukawa. 391-396 [doi]
• The Topographic Product of ExpertsColin Fyfe. 397-402 [doi]
• Self Organizing Map (SOM) Approach for Classification of Power Quality EventsEmin Germen, Dogãn Gökhan Ece, Ömer Nezih Gerek. 403-408 [doi]
• SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy PlantMikko Heikkinen, Ari Kettunen, Eero Niemitalo, Reijo Kuivalainen, Yrjö Hiltunen. 409-414 [doi]
• A New Extension of Self-optimizing Neural Networks for Topology OptimizationAdrian Horzyk. 415-420 [doi]
• A Novel Technique for Data Visualization Based on SOMGuanglan Liao, Tielin Shi, Shiyuan Liu, Jianping Xuan. 421-426 [doi]
• Statistical Properties of Lattices Affect Topographic Error in Self-organizing MapsAntonio Neme, Pedro Miramontes. 427-432 [doi]
• Increasing Reliability of SOMs Neighbourhood Structure with a Bootstrap ProcessPatrick Rousset, Bertrand Maillet. 433-438 [doi]
• Artificial Neural Receptive Field for StereovisionBoguslaw Cyganek. 439-445 [doi]
• Pattern Detection Using Fast Normalized Neural NetworksHazem M. El-Bakry. 447-454 [doi]
• Neural Network Model for Extracting Optic FlowKunihiko Fukushima, Kazuya Tohyama. 455-460 [doi]
• A Modular Single-Hidden-Layer Perceptron for Letter RecognitionGao Daqi, Shangming Zhu, Wenbing Gu. 461-467 [doi]
• Fast Color-Based Object Recognition Independent of Position and OrientationMartijn van de Giessen, Jürgen Schmidhuber. 469-474 [doi]
• Class-Specific Sparse Coding for Learning of Object RepresentationsStephan Hasler, Heiko Wersing, Edgar Körner. 475-480 [doi]
• Neural Network Based Adult Image ClassificationWonil Kim, Han-Ku Lee, Seong-Joon Yoo, Sung Wook Baik. 481-486 [doi]
• Online Learning for Object Recognition with a Hierarchical Visual Cortex ModelStephan Kirstein, Heiko Wersing, Edgar Körner. 487-492 [doi]
• Extended Hopfield Network for Sequence Learning: Application to Gesture RecognitionAndré Maurer, Micha Hersch, Aude Billard. 493-498 [doi]
• Accurate and Robust Image Superresolution by Neural Processing of Local Image RepresentationsCarlos Miravet, Francisco de Borja Rodríguez. 499-505 [doi]
• The Emergence of Visual Object RecognitionAlessio Plebe, Rosaria Grazia Domenella. 507-512 [doi]
• Implicit Relevance Feedback from Eye MovementsJarkko Salojärvi, Kai Puolamäki, Samuel Kaski. 513-518 [doi]
• Image Segmentation by Complex-Valued UnitsCornelius Weber, Stefan Wermter. 519-524 [doi]
• Cellular Neural Networks for Color Image SegmentationAnna Wilbik. 525-530 [doi]
• Image Segmentation Using Watershed Transform and Feed-Back Pulse Coupled Neural NetworkYiyan Xue, Simon X. Yang. 531-536 [doi]
• Adaptive Switching Median Filter with Neural Network Impulse Detection StepPavel S. Zvonarev, Ilia V. Apalkov, Vladimir V. Khryashchev, Andrey L. Priorov. 537-542 [doi]
• Human Face Detection Using New High Speed Modular Neural NetworksHazem M. El-Bakry. 543-550 [doi]
• Face Detection Using Convolutional Neural Networks and Gabor FiltersBogdan Kwolek. 551-556 [doi]
• Face Identification Performance Using Facial Expressions as PerturbationMinoru Nakayama, Takashi Kumakura. 557-562 [doi]
• Discriminative Common Images for Face RecognitionVo Dinh Minh Nhat, Sungyoung Lee. 563-568 [doi]
• Classification of Face Images for Gender, Age, Facial Expression, and IdentityTorsten Wilhelm, Hans-Joachim Böhme, Horst-Michael Gross. 569-574 [doi]
• Classifying Unprompted Speech by Retraining LSTM NetsNicole Beringer, Alex Graves, Florian Schiel, Jürgen Schmidhuber. 575-581 [doi]
• Temporal Sound Processing by Cochlear Nucleus Octopus NeuronsWerner Hemmert, Marcus Holmberg, Ulrich Ramacher. 583-588 [doi]
• A SOM Based 2500 - Isolated - Farsi - Word Speech RecognizerJalil Shirazi, M. B. Menhaj. 589-595 [doi]
• Training HMM/ANN Hybrid Speech Recognizers by Probabilistic SamplingLászló Tóth, András Kocsor. 597-603 [doi]
• Chord Classifications by Artificial Neural Networks Revisited: Internal Representations of Circles of Major Thirds and Minor ThirdsVanessa Yaremchuk, Michael R. W. Dawson. 605-610 [doi]
• Biclustering Gene Expression Data in the Presence of NoiseAhsan Abdullah, Amir Hussain. 611-616 [doi]
• Gene Extraction for Cancer Diagnosis by Support Vector MachinesTe Ming Huang, Vojislav Kecman. 617-624 [doi]
• High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression DataMarc Strickert, Stefan Teichmann, Nese Sreenivasulu, Udo Seiffert. 625-633 [doi]
• Comparing Neural Network Architecture for Pattern Recognize System on Artificial NosesAida A. Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino. 635-640 [doi]
• Medical Document Categorization Using ::::a Priori Knowledge::::Lukasz Itert, Wlodzislaw Duch, John Pestian. 641-646 [doi]
• A Neurofuzzy Methodology for the Diagnosis of Wireless-Capsule Endoscopic ImagesVassilis S. Kodogiannis, H. S. Chowdrey. 647-652 [doi]
• Neural Network Use for the Identification of Factors Related to Common Mental DisordersTeresa Bernarda Ludermir, C. R. S. Lopes, A. B. Ludermir, Marcílio Carlos Pereira de Souto. 653-658 [doi]
• Development and Realization of the Artificial Neural Network for Diagnostics of Stroke TypeO. Yu. Rebrova, O. A. Ishanov. 659-663 [doi]
• A First Attempt at Constructing Genetic Programming Expressions for EEG ClassificationCésar Estébanez, José María Valls, Ricardo Aler, Inés María Galván. 665-670 [doi]
• SOM-Based Wavelet Filtering for the Exploration of Medical ImagesBirgit Lessmann, Andreas Degenhard, Preminda Kessar, Linda Pointon, Michael Khazen, Martin O. Leach, Tim W. Nattkemper. 671-676 [doi]
• Functional MRI Analysis by a Novel Spatiotemporal ICA AlgorithmFabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar Wolfgang Lang. 677-682 [doi]
• Early Detection of Alzheimer s Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG SignalsFrançois B. Vialatte, Andrzej Cichocki, Gérard Dreyfus, Toshimitsu Musha, Sergei L. Shishkin, Rémi Gervais. 683-692 [doi]