Abstract is missing.
- The Complementary Brain (Abstract)Stephen Grossberg. 3-4 [doi]
- Neural Networks for Adaptive Processing of Structured DataAlessandro Sperduti. 5-12 [doi]
- Bad Design and Good Performance: Strategies of the Visual System for Enhanced Scene AnalysisFlorentin Wörgötter. 13-18 [doi]
- Fast Curvature Matrix-Vector ProductsNicol N. Schraudolph. 19-26 [doi]
- Architecture Selection in NLDA NetworksJosé R. Dorronsoro, Ana M. González, Carlos Santa Cruz. 27-32 [doi]
- Neural Learning Invariant to Network Size ChangesVicente Ruiz de Angulo, Carme Torras. 33-40 [doi]
- Boosting Mixture Models for Semi-supervised LearningYves Grandvalet, Florence d Alché-Buc, Christophe Ambroise. 41-48 [doi]
- Bagging Can Stabilize without Reducing VarianceYves Grandvalet. 49-56 [doi]
- Symbolic Prosody Modeling by Causal Retro-causal NNs with Variable Context LengthAchim F. Müller, Hans-Georg Zimmermann. 57-64 [doi]
- Discriminative Dimensionality Reduction Based on Generalized LVQAtsushi Sato. 65-72 [doi]
- A Computational Intelligence Approach to Optimization with Unknown Objective FunctionsHirotaka Nakayama, Masao Arakawa, Rie Sasaki. 73-80 [doi]
- Clustering Gene Expression Data by Mutual Information with Gene FunctionSamuel Kaski, Janne Sinkkonen, Janne Nikkilä. 81-86 [doi]
- Learning to Learn Using Gradient DescentSepp Hochreiter, A. Steven Younger, Peter R. Conwell. 87-94 [doi]
- A Variational Approach to Robust RegressionAnita C. Faul, Michael E. Tipping. 95-102 [doi]
- Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte CarloStephen J. Roberts, Christopher Holmes, Dave Denison. 103-110 [doi]
- Behavioral Market Segmentation of Binary Guest Survey Data with Bagged ClusteringSara Dolniar, Friedrich Leisch. 111-118 [doi]
- Direct Estimation of Polynomial Densities in Generalized RBF Networks Using MomentsEvangelos Dermatas. 119-126 [doi]
- Generalisation Improvement of Radial Basis Function Networks Based on Qualitative Input Conditioning for Financial Credit Risk PredictionXavier Parra, Núria Agell, Xari Rovira. 127-134 [doi]
- Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler InformationYoshifusa Ito, Cidambi Srinivasan. 135-140 [doi]
- The Bias-Variance Dilemma of the Monte Carlo MethodMark Zlochin, Yoram Baram. 141-147 [doi]
- A Markov Chain Monte Carlo Algorithm for the Quadratic Assignment Problem Based on Replicator EquationsTakehiro Nishiyama, Kazuo Tsuchiya, Katsuyoshi Tsujita. 148-155 [doi]
- Mapping Correlation Matrix Memory Applications onto a Beowulf ClusterMichael Weeks, Jim Austin, Anthony Moulds, Aaron Turner, Zygmunt Ulanowski, Julian Young. 156-163 [doi]
- Accelerating RBF Network Simulation by Using Multimedia Extensions of Modern MicroprocessorsAlfred Strey, Martin Bange. 164-169 [doi]
- A Game-Theoretic Adaptive Categorization Mechanism for ART-Type NetworksWai-keung Fung, Yun-Hui Liu. 170-176 [doi]
- Gaussian Radial Basis Functions and Inner-Product SpacesIrwin W. Sandberg. 177-182 [doi]
- Mixture of Probabilistic Factor Analysis Model and Its ApplicationsMasahiro Tanaka. 183-188 [doi]
- Deferring the Learning for Better Generalization in Radial Basis Neural NetworksJosé María Valls, Pedro Isasi, Inés María Galván. 189-195 [doi]
- Improvement of Cluster Detection and Labeling Neural Network by Introducing Elliptical Basis FunctionChristophe Lurette, Stéphane Lecoeuche. 196-202 [doi]
- Independent Variable Group AnalysisKrista Lagus, Esa Alhoniemi, Harri Valpola. 203-210 [doi]
- Weight Quantization for Multi-layer Perceptrons Using Soft Weight SharingFatih Köksal, Ethem Alpaydin, Günhan Dündar. 211-216 [doi]
- Voting-Merging: An Ensemble Method for ClusteringEvgenia Dimitriadou, Andreas Weingessel, Kurt Hornik. 217-224 [doi]
- The Application of Fuzzy ARTMAP in the Detection of Computer Network AttacksJames Cannady, Raymond C. Garcia. 225-230 [doi]
- Transductive Learning: Learning Iris Data with Two Labeled DataChun Hung Li, Pong Chi Yuen. 231-236 [doi]
- Approximation of Time-Varying Functions with Local Regression ModelsAchim Lewandowski, Peter Protzel. 237-246 [doi]
- Complexity of Learning for Networks of Spiking Neurons with Nonlinear Synaptic InteractionsMichael Schmitt. 247-252 [doi]
- Product Unit Neural Networks with Constant Depth and Superlinear VC DimensionMichael Schmitt. 253-258 [doi]
- Generalization Performances of PerceptronsGérald Gavin. 259-264 [doi]
- Bounds on the Generalization Ability of Bayesian Inference and Gibbs AlgorithmsOlivier Teytaud, Hélène Paugam-Moisy. 265-270 [doi]
- Learning Curves for Gaussian Processes Models: Fluctuations and UniversalityDörthe Malzahn, Manfred Opper. 271-276 [doi]
- Tight Bounds on Rates of Neural-Network ApproximationVera Kurková, Marcello Sanguineti. 277-284 [doi]
- Scalable Kernel SystemsVolker Tresp, Anton Schwaighofer. 285-291 [doi]
- On-Line Learning Methods for Gaussian ProcessesShigeyuki Oba, Masa-aki Sato, Shin Ishii. 292-299 [doi]
- Online Approximations for Wind-Field ModelsLehel Csató, Dan Cornford, Manfred Opper. 300-307 [doi]
- Fast Training of Support Vector Machines by Extracting Boundary DataShigeo Abe, Takuya Inoue. 308-313 [doi]
- Multiclass Classification with Pairwise Coupled Neural Networks or Support Vector MachinesEddy Mayoraz. 314-321 [doi]
- Incremental Support Vector Machine Learning: A Local ApproachLiva Ralaivola, Florence d Alché-Buc. 322-330 [doi]
- Learning to Predict the Leave-One-Out Error of Kernel Based ClassifiersKoji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller. 331-338 [doi]
- Sparse Kernel RegressorsVolker Roth. 339-346 [doi]
- Learning on Graphs in the Game of GoThore Graepel, Mike Goutrié, Marco Krüger, Ralf Herbrich. 347-352 [doi]
- Nonlinear Feature Extraction Using Generalized Canonical Correlation AnalysisThomas Melzer, Michael Reiter, Horst Bischof. 353-360 [doi]
- Gaussian Process Approach to Stochastic Spiking Neurons with ResetKen-ichi Amemori, Shin Ishii. 361-368 [doi]
- Kernel Based Image ClassificationOlivier Teytaud, David Sarrut. 369-375 [doi]
- Gaussian Processes for Model FusionMohammed El-Beltagy, W. Andy Wright. 376-383 [doi]
- Kernel Canonical Correlation Analysis and Least Squares Support Vector MachinesTony Van Gestel, Johan A. K. Suykens, Jos De Brabanter, Bart De Moor, Joos Vandewalle. 384-389 [doi]
- Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector MachinesThomas Frontzek, Thomas Navin Lal, Rolf Eckmiller. 390-398 [doi]
- Close-Class-Set Discrimination Method for Recognition of Stop_Consonant-Vowel Utterances Using Support Vector MachinesChellu Chandra Sekhar, Kazuya Takeda, Fumitada Itakura. 399-404 [doi]
- Linear Dependency between epsilon and the Input Noise in epsilon-Support Vector RegressionJames T. Kwok. 405-410 [doi]
- The Bayesian Committee Support Vector MachineAnton Schwaighofer, Volker Tresp. 411-420 [doi]
- Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection ManifoldsPeter Tiño, Ian T. Nabney, Yi Sun. 421-428 [doi]
- Self Organizing Map and Sammon Mapping for Asymmetric ProximitiesManuel Martín-Merino, Alberto Muñoz. 429-435 [doi]
- Active Learning with Adaptive GridsMichele Milano, Jürgen Schmidhuber, Petros Koumoutsakos. 436-442 [doi]
- Complex Process Visualization through Continuous Feature Maps Using Radial Basis FunctionsIgnacio Díaz Blanco, Alberto B. Diez González, Abel A. Cuadrado Vega. 443-449 [doi]
- A Soft k-Segments Algorithm for Principal CurvesJakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse. 450-456 [doi]
- Product Positioning Using Principles from the Self-Organizing MapChris Charalambous, George C. Hadjinicola, Eitan Muller. 457-463 [doi]
- Combining the Self-Organizing Map and K-Means Clustering for On-Line Classification of Sensor DataKristof Van Laerhoven. 464-469 [doi]
- Histogram Based Color Reduction through Self-Organized Neural NetworksAntonios Atsalakis, Ioannis Andreadis, Nikos Papamarkos. 470-476 [doi]
- Sequential Learning for SOM Associative Memory with Map ReconstructionMotonobu Hattori, Hiroya Arisumi, Hiroshi Ito. 477-484 [doi]
- Neighborhood Preservation in Nonlinear Projection Methods: An Experimental StudyJarkko Venna, Samuel Kaski. 485-491 [doi]
- A Topological Hierarchical Clustering: Application to Ocean Color ClassificationMéziane Yacoub, Fouad Badran, Sylvie Thiria. 492-499 [doi]
- Hierarchical Clustering of Document Archives with the Growing Hierarchical Self-Organizing MapMichael Dittenbach, Dieter Merkl, Andreas Rauber. 500-508 [doi]
- Blind Source Separation of Single Components from Linear MixturesRoland Vollgraf, Ingo Schießl, Klaus Obermayer. 509-514 [doi]
- Blind Source Separation Using Principal Component Neural NetworksKonstantinos I. Diamantaras. 515-520 [doi]
- Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton s MethodRubén Martín-Clemente, José I. Acha, Carlos García Puntonet. 521-526 [doi]
- Mixtures of Independent Component AnalysersStephen J. Roberts, William D. Penny. 527-534 [doi]
- Conditionally Independent Component Extraction for Naive Bayes InferenceShotaro Akaho. 535-540 [doi]
- Fast Score Function Estimation with Application in ICANikos A. Vlassis. 541-546 [doi]
- Health Monitoring with Learning MethodsAlexander Ypma, Co Melissant, Ole Baunbæk-Jensen, Robert P. W. Duin. 547-553 [doi]
- Breast Tissue Classification in Mammograms Using ICA Mixture ModelsIoanna Christoyianni, Athanasios Koutras, Evangelos Dermatas, George K. Kokkinakis. 554-560 [doi]
- Neural Network Based Blind Source Separation of Non-linear MixturesAthanasios Koutras, Evangelos Dermatas, George K. Kokkinakis. 561-567 [doi]
- Feature Extraction Using ICANojun Kwak, Chong-Ho Choi, Jin-Young Choi. 568-576 [doi]
- Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid ModelEdmondo Trentin, Marco Gori. 577-582 [doi]
- Faster Convergence and Improved Performance in Least-Squares Training of Neural Networks for Active Sound CancellationMartin Bouchard. 583-592 [doi]
- Bayesian Independent Component Analysis as Applied to One-Channel Speech EnhancementIlyas Potamitis, Nikos Fakotakis, George K. Kokkinakis. 593-600 [doi]
- Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural NetworksBao-Liang Lu, Jonghan Shin, Michinori Ichikawa. 601-608 [doi]
- Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise ComponentArthur Flexer, Herbert Bauer, Claus Lamm, Georg Dorffner. 609-616 [doi]
- A Probabilistic Approach to High-Resolution Sleep AnalysisPeter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner. 617-624 [doi]
- Comparison of Wavelet Thresholding Methods for Denoising ECG SignalsVladimir Cherkassky, Steven Kilts. 625-629 [doi]
- Evoked Potential Signal Estimation Using Gaussian Radial Basis Function NetworkG. Sita, A. G. Ramakrishnan. 630-635 [doi]
- Virtual Keyboard Controlled by Spontaneous EEG ActivityBernhard Obermaier, Gernot Müller, Gert Pfurtscheller. 636-641 [doi]
- Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing MapsDavid Sommer, Martin Golz. 642-649 [doi]
- Nonlinear Signal Processing for Noise Reduction of Unaveraged Single Channel MEG DataWei Lee Woon, David Lowe. 650-660 [doi]
- A Discrete Probabilistic Memory Model for Discovering Dependencies in TimeSepp Hochreiter, Michael Mozer. 661-668 [doi]
- Applying LSTM to Time Series Predictable through Time-Window ApproachesFelix A. Gers, Douglas Eck, Jürgen Schmidhuber. 669-676 [doi]
- Generalized Relevance LVQ for Time SeriesMarc Strickert, Thorsten Bojer, Barbara Hammer. 677-683 [doi]
- Unsupervised Learning in LSTM Recurrent Neural NetworksMagdalena Klapper-Rybicka, Nicol N. Schraudolph, Jürgen Schmidhuber. 684-691 [doi]
- Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric AppliancesHiroshi Murata, Takashi Onoda. 692-698 [doi]
- Neural Networks in Circuit SimulatorsAlessio Plebe, Marcello A. Anile, Salvatore Rinaudo. 699-705 [doi]
- Neural Networks Ensemble for Cyclosporine Concentration MonitoringGustavo Camps-Valls, Emilio Soria-Olivas, José David Martín-Guerrero, Antonio J. Serrano-López, Juan José Pérez-Ruixo, N. Víctor Jiménez. 706-711 [doi]
- Efficient Hybrid Neural Network for Chaotic Time Series PredictionHirotaka Inoue, Yoshinobu Fukunaga, Hiroyuki Narihisa. 712-718 [doi]
- Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural NetworksJuan Antonio Pérez-Ortiz, Jorge Calera-Rubio, Mikel L. Forcada. 719-724 [doi]
- Prediction Systems Based on FIR BP Neural NetworksStanislav Kaleta, Daniel Novotný, Peter Sincak. 725-730 [doi]
- On the Generalization Ability of Recurrent NetworksBarbara Hammer. 731-736 [doi]
- Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised MannerMichal Cernanský, Lubica Benusková. 737-742 [doi]
- Estimation of Computational Complexity of Sensor Accuracy Improvement Algorithm Based on Neural NetworksVolodymyr Turchenko, Volodymyr Kochan, Anatoly Sachenko. 743-748 [doi]
- Fusion Architectures for the Classification of Time SeriesChristian Dietrich, Friedhelm Schwenker, Günther Palm. 749-758 [doi]
- The Importance of Representing Cognitive Processes in Multi-agent ModelsBruce Edmonds, Scott Moss. 759-766 [doi]
- Multi-agent FX-Market Modeling Based on Cognitive SystemsHans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann. 767-774 [doi]
- Speculative Dynamics in a Heterogeneous-Agent ModelTaisei Kaizoji. 775-781 [doi]
- Nonlinear Adaptive Beliefs and the Dynamics of Financial Markets: The Role of the Evolutionary Fitness MeasureAndrea Gaunersdorfer, Cars H. Hommes. 782-789 [doi]
- Analyzing Purchase Data by a Neural Net Extension of the Multinomial Logit ModelHarald Hruschka, Werner Fettes, Markus Probst. 790-798 [doi]
- Using Maximal Recurrence in Linear Threshold Competitive Layer NetworksHeiko Wersing, Helge Ritter. 799-805 [doi]
- Exponential Transients in Continuous-Time Symmetric Hopfield NetsJirí Síma, Pekka Orponen. 806-813 [doi]
- Initial Evolution Results on CAM-Brain Machines (CBMs)Hugo de Garis, Andrzej Buller, Leo de Penning, Tomasz Chodakowski, Derek Decesare. 814-819 [doi]
- Self-Organizing Topology Evolution of Turing Neural NetworksChristof Teuscher, Eduardo Sanchez. 820-826 [doi]
- Efficient Pattern Discrimination with Inhibitory WTA NetsBrijnesh J. Jain, Fritz Wysotzki. 827-834 [doi]
- Cooperative Information Control to Coordinate Competition and CooperationRyotaro Kamimura, Taeko Kamimura. 835-842 [doi]
- Qualitative Analysis of Continuous Complex-Valued Associative MemoriesYasuaki Kuroe, Naoki Hashimoto, Takehiro Mori. 843-850 [doi]
- Self Organized Partitioning of Chaotic Attractors for ControlNils Goerke, Florian Kintzler, Rolf Eckmiller. 851-856 [doi]
- A Generalisable Measure of Self-Organisation and EmergenceW. Andy Wright, Robert E. Smith, Martin Danek, Pillip Greenway. 857-864 [doi]
- Market-Based Reinforcement Learning in Partially Observable WorldsIvo Kwee, Marcus Hutter, Jürgen Schmidhuber. 865-873 [doi]
- Sequential Strategy for Learning Multi-stage Multi-agent Collaborative GamesW. Andy Wright. 874-884 [doi]
- Neural Architecture for Mental Imaging of Sequences Based on Optical Flow PredictionsVolker Stephan, Horst-Michael Gross. 885-890 [doi]
- Visual Checking of Grasping Positions of a Three-Fingered Robot HandGunther Heidemann, Helge Ritter. 891-898 [doi]
- Anticipation-Based Control Architecture for a Mobile RobotAndrea Heinze, Horst-Michael Gross. 899-905 [doi]
- Neural Adaptive Force Control for Compliant RobotsNadia Saadia, Yassine Amirat, Jean Pontnaut, Amar Ramdane-Cherif. 906-913 [doi]
- A Design of Neural-Net Based Self-Tuning PID ControllersMichiyo Suzuki, Toru Yamamoto, Kazuo Kawada, Hiroyuki Sogo. 914-921 [doi]
- Kinematic Control and Obstacle Avoidance for Redundant Manipulators Using a Recurrent Neural NetworkWai Sum Tang, Cherry Miu Ling Lam, Jun Wang. 922-929 [doi]
- Adaptive Neural Control of Nonlinear SystemsIeroham S. Baruch, Jose Martín Flores, Federico Thomas, Ruben Garrido. 930-936 [doi]
- A Hierarchical Method for Training Embedded Sigmoidal Neural NetworksJinglu Hu, Kotaro Hirasawa. 937-942 [doi]
- Towards Learning Path Planning for Solving Complex Robot TasksThomas Frontzek, Thomas Navin Lal, Rolf Eckmiller. 943-950 [doi]
- Hammerstein Model Identification Using Radial Basis Functions Neural NetworksHussain N. Al-Duwaish, Ali Syed Saad Azhar. 951-956 [doi]
- Evolving Neural Behaviour Control for Autonomous RobotsMartin Hülse, Bruno Lara, Frank Pasemann, Ulrich Steinmetz. 957-962 [doi]
- Construction by Autonomous Agents in a Simulated EnvironmentAnand Panangadan, Michael G. Dyer. 963-970 [doi]
- A Neural Control Model Using Predictive Adjustment Mechanism of Viscoelastic Property of the Human ArmMasazumi Katayama. 971-976 [doi]
- Multi Joint Arm Trajectory Formation Based on the Minimization Principle Using the Euler-Poisson EquationYasuhiro Wada, Yuichi Kaneko, Eri Nakano, Rieko Osu, Mitsuo Kawato. 977-986 [doi]
- Neocognitron of a New Version: Handwritten Digit RecognitionKunihiko Fukushima. 987-992 [doi]
- A Comparison of Classifiers for Real-Time Eye DetectionAlex Cozzi, Myron Flickner, Jianchang Mao, Shivakumar Vaithyanathan. 993-999 [doi]
- Neural Network Analysis of Dynamic Contrast-Enhanced MRI MammographyAxel Wismüller, Oliver Lange, Dominik R. Dersch, Klaus Hahn, Gerda L. Leinsinger. 1000-1005 [doi]
- A New Adaptive Color Quantization TechniqueAntonios Atsalakis, Nikos Papamarkos, Charalambos Strouthopoulos. 1006-1012 [doi]
- Tunable Oscillatory Network for Visual Image SegmentationMargarita Kuzmina, Eduard A. Manykin, Irina Surina. 1013-1019 [doi]
- Detecting Shot Transitions for Video Indexing with FAMSeok-Woo Jang, Gye-Young Kim, Hyung-Il Choi. 1020-1025 [doi]
- Finding Faces in Cluttered Still Images with Few ExamplesJan Wieghardt, Hartmut S. Loos. 1026-1033 [doi]
- Description of Dynamic Structured Scenes by a SOM/ARSOM HierarchyAntonio Chella, Maria Donatella Guarino, Roberto Pirrone. 1034-1041 [doi]
- Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing MapYin Huang, Ponnuthurai N. Suganthan, Shankar M. Krishnan, Xiang Cao. 1042-1047 [doi]
- Video Sequence Boundary Detection Using Neural Gas NetworksXiang Cao, Ponnuthurai N. Suganthan. 1048-1053 [doi]
- A Neural-Network-Based Approach to Adaptive Human Computer InteractionGeorge Votsis, Nikolaos D. Doulamis, Anastasios D. Doulamis, Nicolas Tsapatsoulis, Stefanos D. Kollias. 1054-1059 [doi]
- Adaptable Neural Networks for Unsupervised Video Object Segmentation of Stereoscopic SequencesAnastasios D. Doulamis, Klimis S. Ntalianis, Nikolaos D. Doulamis, Stefanos D. Kollias. 1060-1068 [doi]
- A Model of Border-Ownership Coding in Early VisionMasayuki Kikuchi, Youhei Akashi. 1069-1074 [doi]
- Extracting Slow Subspaces from Natural Videos Leads to Complex CellsChristoph Kayser, Wolfgang Einhäuser, Olaf Dümmer, Peter König, Konrad P. Körding. 1075-1080 [doi]
- Neural Coding of Dynamic StimuliStefan D. Wilke. 1081-1086 [doi]
- Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley ModelKen-ichi Amemori, Shin Ishii. 1087-1094 [doi]
- Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F NeuronsBaran Çürüklü, Anders Lansner. 1095-1102 [doi]
- Using Depressing Synapses for Phase Locked Auditory Onset DetectionLeslie S. Smith. 1103-1108 [doi]
- Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using InputsRobert Haschke, Jochen J. Steil, Helge Ritter. 1109-1114 [doi]
- Temporal Hebbian Learning in Rate-Coded Neural Networks: A Theoretical Approach towards Classical ConditioningBernd Porr, Florentin Wörgötter. 1115-1120 [doi]
- A Mathematical Analysis of a Correlation Based Model for the Orientation Map FormationTadashi Yamazaki. 1121-1128 [doi]
- Learning from Chaos: A Model of Dynamical PerceptionEmmanuel Daucé. 1129-1134 [doi]
- Episodic Memory and Cognitive Map in a Rate Model Network of the Rat HippocampusFanni Misják, Máté Lengyel, Péter Érdi. 1135-1140 [doi]
- A Model of Horizontal 360° Object Localization Based on Binaural Hearing and Monocular VisionCarsten Schauer, Horst-Michael Gross. 1141-1146 [doi]
- Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual CortexCornelius Weber. 1147-1152 [doi]
- Markov Chain Model Approximating the Hodgkin-Huxley NeuronYuichi Sakumura, Norio Konno, Kazuyuki Aihara. 1153-1162 [doi]
- A Neural Oscillator Model of Auditory AttentionStuart N. Wrigley, Guy J. Brown. 1163-1170 [doi]
- Coupled Neural Maps for the Origins of Vowel SystemsPierre-Yves Oudeyer. 1171-1176 [doi]
- Learning for Text Summarization Using Labeled and Unlabeled SentencesMassih-Reza Amini, Patrick Gallinari. 1177-1184 [doi]
- On-Line Error Detection of Annotated Corpus Using Modular Neural NetworksQing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ichikawa, Hitoshi Isahara. 1185-1192 [doi]
- Instance-Based Method to Extract Rules from Neural NetworksDaeEun Kim, Jaeho Lee. 1193-1198 [doi]
- A Novel Binary Spell CheckerVictoria J. Hodge, Jim Austin. 1199-1204 [doi]
- Neural Nets for Short Movements in Natural Language ProcessingNeill R. Taylor, John G. Taylor. 1205-1210 [doi]
- Using Document Features to Optimize Web CacheTimo Koskela, Jukka Heikkonen, Kimmo Kaski. 1211-1216 [doi]
- Generation of Diversiform Characters Using a Computational Handwriting Model and a Genetic AlgorithmYasuhiro Wada, Kei Ohkawa, Keiichi Sumita. 1217-1224 [doi]
- Information Maximization and Language AcquisitionRyotaro Kamimura, Taeko Kamimura. 1225-1232 [doi]
- A Mirror Neuron System for Syntax AcquisitionSteve Womble, Stefan Wermter. 1233-1238 [doi]
- A Network of Relaxation Oscillators that Finds Downbeats in RhythmsDouglas Eck. 1239-1247 [doi]
- Knowledge Incorporation and Rule Extraction in Neural NetworksMinoru Fukumi, Yasue Mitsukura, Norio Akamatsu. 1248-1254 [doi]