Abstract is missing.
- Direction Selectivity In Primary Visual Cortex Using Massive Intracortical ConnectionsHumbert Suarez, Christof Koch, Rodney J. Douglas. 3-10 [doi]
- On the Computational Utility of ConsciousnessDonald W. Mathis, Michael Mozer. 11-18 [doi]
- Catastrophic Interference in Human Motor LearningTom Brashers-Krug, Reza Shadmehr, Emanuel Todorov. 19-26 [doi]
- Grammar Learning by a Self-Organizing NetworkMichiro Negishi. 27-34 [doi]
- Patterns of damage in neural networks: The effects of lesion area, shape and numberEytan Ruppin, James A. Reggia. 35-42 [doi]
- Forward dynamic models in human motor control: Psychophysical evidenceDaniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan. 43-50 [doi]
- A solvable connectionist model of immediate recall of ordered listsNeil Burgess. 51-58 [doi]
- A Model for Chemosensory ReceptionRainer Malaka, Thomas Ragg, Martin Hammer. 61-68 [doi]
- The Electrotonic Transformation: a Tool for Relating Neuronal Form to FunctionNicholas T. Carnevale, Kenneth Y. Tsai, Brenda J. Claiborne, Thomas H. Brown. 69-76 [doi]
- A model of the hippocampus combibing self-organization and associative memory functionMichael E. Hasselmo, Eric Schnell, Joshua Berke, Edi Barkai. 77-84 [doi]
- Model of a Biological Neuron as a Temporal Neural NetworkSean D. Murphy, Edward W. Kairiss. 85-91 [doi]
- A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate CortexE. Erwin, Klaus Obermayer, Klaus Schulten. 93-100 [doi]
- A Novel Reinforcement Model of Birdsong Vocalization LearningKenji Doya, Terrence J. Sejnowski. 101-108 [doi]
- Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual CortexJoseph Sirosh, Risto Miikkulainen. 109-116 [doi]
- Anatomical origin and computational role of diversity in the response properties of cortical neuronsKalanit Grill Spector, Shimon Edelman, Rafael Malach. 117-124 [doi]
- Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn OwlAlexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski. 125-132 [doi]
- Morphogenesis of the Lateral Geniculate Nucleus: How Singularities Affect Global StructureSvilen Tzonev, Klaus Schulten, Joseph G. Malpeli. 133-140 [doi]
- A Computational Model of Prefrontal Cortex FunctionTodd S. Braver, Jonathan D. Cohen, David Servan-Schreiber. 141-148 [doi]
- A Neural Model of Delusions and Hallucinations in SchizophreniaEytan Ruppin, James A. Reggia, David Horn. 149-156 [doi]
- Spatial Representations in the Parietal Cortex May Use Basis FunctionsAlexandre Pouget, Terrence J. Sejnowski. 157-164 [doi]
- Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual CortexRichard S. Zemel, Terrence J. Sejnowski. 165-172 [doi]
- A Model of the Neural Basis of the Rat s Sense of DirectionWilliam E. Skaggs, James J. Knierim, Hemant S. Kudrimoti, Bruce L. McNaughton. 173-180 [doi]
- On the Computational Complexity of Networks of Spiking NeuronsWolfgang Maass. 183-190 [doi]
- Optimal Training Algorithms and their Relation to BackpropagationBabak Hassibi, Thomas Kailath. 191-198 [doi]
- Synchrony and Desynchrony in Neural Oscillator NetworksDeLiang L. Wang, David Terman. 199-206 [doi]
- Learning in large linear perceptrons and why the thermodynamic limit is relevant to the real worldPeter Sollich. 207-214 [doi]
- Generalisation in Feedforward NetworksAdam Kowalczyk, Herman L. Ferrá. 215-222 [doi]
- From Data Distributions to Regularization in Invariant LearningTodd K. Leen. 223-230 [doi]
- Neural Network Ensembles, Cross Validation, and Active LearningAnders Krogh, Jesper Vedelsby. 231-238 [doi]
- Limits in Learning Machine Accuracy Imposed by Data QualityCorinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang. 239-246 [doi]
- Higher Order Statistical Decorrelation without Information LossGustavo Deco, Wilfried Brauer. 247-254 [doi]
- Hyperparameters Evidence and Generalisation for an Unrealisable RuleGlenn Marion, David Saad. 255-262 [doi]
- Temporal Dynamics of Generalization in Neural NetworksChangfeng Wang, Santosh S. Venkatesh. 263-270 [doi]
- Stochastic Dynamics of Three-State Neural NetworksToru Ohira, Jack D. Cowan. 271-278 [doi]
- Learning Stochastic Perceptrons Under k-Blocking DistributionsMario Marchand, Saeed Hadjifaradji. 279-286 [doi]
- Learning from queries for maximum information gain in imperfectly learnable problemsPeter Sollich, David Saad. 287-294 [doi]
- Bias, Variance and the Combination of Least Squares EstimatorsRonny Meir. 295-302 [doi]
- On-line Learning of DichotomiesN. Barkai, H. Sebastian Seung, Haim Sompolinsky. 303-310 [doi]
- Dynamic Modelling of Chaotic Time Series with Neural NetworksJosé Carlos Príncipe, Jyh-Ming Kuo. 311-318 [doi]
- A Rigorous Analysis of Linsker-Type Hebbian LearningJianfeng Feng, Hong Pan, Vwani P. Roychowdhury. 319-326 [doi]
- Sample Size Requirements for Feedforward Neural NetworksMichael J. Turmon, Terrence Fine. 327-334 [doi]
- Asymptotics of Gradient-based Neural Network Training AlgorithmsSayandev Mukherjee, Terrence Fine. 335-342 [doi]
- Reinforcement Learning Algorithm for Partially Observable Markov Decision ProblemsTommi Jaakkola, Satinder P. Singh, Michael I. Jordan. 345-352 [doi]
- Advantage Updating Applied to a Differrential GameMance E. Harmon, Leemon C. Baird III, A. Harry Klopf. 353-360 [doi]
- Reinforcement Learning with Soft State AggregationSatinder P. Singh, Tommi Jaakkola, Michael I. Jordan. 361-368 [doi]
- Generalization in Reinforcement Learning: Safely Approximating the Value FunctionJustin A. Boyan, Andrew W. Moore. 369-376 [doi]
- Instance-Based State Identification for Reinforcement LearningAndrew McCallum. 377-384 [doi]
- Finding Structure in Reinforcement LearningSebastian Thrun, Anton Schwartz. 385-392 [doi]
- Reinforcement Learning Methods for Continuous-Time Markov Decision ProblemsSteven J. Bradtke, Michael O. Duff. 393-400 [doi]
- An Actor/Critic Algorithm that is Equivalent to Q-LearningRobert H. Crites, Andrew G. Barto. 401-408 [doi]
- Financial Applications of Learning from HintsYaser S. Abu-Mostafa. 411-418 [doi]
- Combining Estimators Using Non-Constant Weighting FunctionsVolker Tresp, Michiaki Taniguchi. 419-426 [doi]
- An Input Output HMM ArchitectureYoshua Bengio, Paolo Frasconi. 427-434 [doi]
- Boltzmann Chains and Hidden Markov ModelsLawrence K. Saul, Michael I. Jordan. 435-442 [doi]
- Bayesian Query Construction for Neural Network ModelsGerhard Paass, Jörg Kindermann. 443-450 [doi]
- Using a Saliency Map for Active Spatial Selective Attention: Implementation & Initial ResultsShumeet Baluja, Dean Pomerleau. 451-458 [doi]
- Multidimensional Scaling and Data ClusteringThomas Hofmann, Joachim M. Buhmann. 459-466 [doi]
- A Non-linear Information Maximisation Algorithm that Performs Blind SeparationAnthony J. Bell, Terrence J. Sejnowski. 467-474 [doi]
- Plasticity-Mediated Competitive LearningNicol N. Schraudolph, Terrence J. Sejnowski. 475-480 [doi]
- Phase-Space LearningFu-Sheng Tsung, Garrison W. Cottrell. 481-488 [doi]
- Learning Local Error Bars for Nonlinear RegressionDavid A. Nix, Andreas S. Weigend. 489-496 [doi]
- Dynamic Cell StructuresJörg Bruske, Gerald Sommer. 497-504 [doi]
- Extracting Rules from Artifical Neural Networks with Distributed RepresentationsSebastian Thrun. 505-512 [doi]
- Capacity and Information Efficiency of a Brain-like Associative NetBruce Graham, David J. Willshaw. 513-520 [doi]
- Boosting the Performance of RBF Networks with Dynamic Decay AdjustmentMichael R. Berthold, Jay Diamond. 521-528 [doi]
- Simplifying Neural Nets by Discovering Flat MinimaSepp Hochreiter, Jürgen Schmidhuber. 529-536 [doi]
- Learning with Product UnitsLaurens R. Leerink, C. Lee Giles, Bill G. Horne, Marwan A. Jabri. 537-544 [doi]
- Deterministic Annealing Variant of the EM AlgorithmNaonori Ueda, Ryohei Nakano. 545-552 [doi]
- Diffusion of Credit in Markovian ModelsYoshua Bengio, Paolo Frasconi. 553-560 [doi]
- Factorial Learning by Clustering FeaturesJoshua B. Tenenbaum, Emanuel Todorov. 561-568 [doi]
- Interior Point Implementations of Alternating Minimization TrainingMichael D. Lemmon, Peter T. Szymanski. 569-576 [doi]
- SARDNET: A Self-Organizing Feature Map for SequencesDaniel L. James, Risto Miikkulainen. 577-584 [doi]
- Convergence Properties of the K-Means AlgorithmsLéon Bottou, Yoshua Bengio. 585-592 [doi]
- Active Learning for Function ApproximationKah Kay Sung, Partha Niyogi. 593-600 [doi]
- Analysis of Unstandardized Contributions in Cross Connected NetworksThomas R. Shultz, Yuriko Oshima-Takane, Yoshio Takane. 601-608 [doi]
- Template-Based Algorithms for Connectionist Rule ExtractionJay A. Alexander, Michael Mozer. 609-616 [doi]
- Factorial Learning and the EM AlgorithmZoubin Ghahramani. 617-624 [doi]
- A Growing Neural Gas Network Learns TopologiesBernd Fritzke. 625-632 [doi]
- An Alternative Model for Mixtures of ExpertsLei Xu, Michael I. Jordan, Geoffrey E. Hinton. 633-640 [doi]
- Estimating Conditional Probability Densities for Periodic VariablesChristopher M. Bishop, Claire Legleye. 641-648 [doi]
- Effects of Noise on Convergence and Generalization in Recurrent NetworksKam-Chuen Jim, Bill G. Horne, C. Lee Giles. 649-656 [doi]
- Learning Many Related Tasks at the Same Time with BackpropagationRich Caruana. 657-664 [doi]
- A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern ClassificationAlessandro Sperduti, David G. Stork. 665-672 [doi]
- Recurrent Networks: Second Order Properties and PruningMorten With Pedersen, Lars Kai Hansen. 673-680 [doi]
- Classifying with Gaussian Mixtures and ClustersNanda Kambhatla, Todd K. Leen. 681-688 [doi]
- Efficient Methods for Dealing with Missing Data in Supervised LearningVolker Tresp, Ralph Neuneier, Subutai Ahmad. 689-696 [doi]
- An experimental comparison of recurrent neural networksBill G. Horne, C. Lee Giles. 697-704 [doi]
- Active Learning with Statistical ModelsDavid A. Cohn, Zoubin Ghahramani, Michael I. Jordan. 705-712 [doi]
- Learning with Preknowledge: Clustering with Point and Graph Matching Distance MeasuresSteven Gold, Anand Rangarajan, Eric Mjolsness. 713-720 [doi]
- Direct Multi-Step Time Series Prediction Using TD-lambdaPeter T. Kazlas, Andreas S. Weigend. 721-728 [doi]
- ICEG Morphology Classification using an Analogue VLSI Neural NetworkRichard Coggins, Marwan A. Jabri, Barry Flower, Stephen Pickard. 731-738 [doi]
- A Silicon AxonBradley A. Minch, Paul E. Hasler, Chris Diorio, Carver Mead. 739-746 [doi]
- The Ni1000: High Speed Parallel VLSI for Implementing Multilayer PerceptronsMichael P. Perrone, Leon N. Cooper. 747-754 [doi]
- A Real Time Clustering CMOS Neural EngineTeresa Serrano-Gotarredona, Bernabé Linares-Barranco, José Luis Huertas. 755-762 [doi]
- Pulsestream Synapses with Non-Volatile Analogue Amorphous-Silicon MemoriesA. J. Holmes, Alan F. Murray, Stephen Churcher, J. Hajto, M. J. Rose. 763-769 [doi]
- A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical NetworksJames Edward Steck, Steven R. Skinner, Alvaro A. Cruz-Cabrara, Elizabeth C. Behrman. 771-778 [doi]
- A Charge-Based Parallel Analog Vector QuantizerGert Cauwenberghs, Volnei A. Pedroni. 779-787 [doi]
- An Auditory Localization and Coordinate Transform ChipTimothy K. Horiuchi. 787-794 [doi]
- An Analog Neural Network Inspired by Fractal Block CodingFernando J. Pineda, Andreas G. Andreou. 795-802 [doi]
- A Study of Parallel Perturbative Gradient DescentD. Lippe, Joshua Alspector. 803-810 [doi]
- Implementation of Neural Hardware with the Neural VLSI of URAN in Applications with Reduced RepresentationsIl Song Han, Ki-Chul Kim, Hwang Soo Lee. 811-815 [doi]
- Single Transistor Learning SynapsesPaul E. Hasler, Chris Diorio, Bradley A. Minch, Carver Mead. 817-824 [doi]
- Pattern Playback in the 90sMalcolm Slaney. 827-834 [doi]
- Non-linear Prediction of Acoustic Vectors Using Hierarchical Mixtures of ExpertsSteve R. Waterhouse, Anthony J. Robinson. 835-842 [doi]
- Glove-TalkII: Mapping Hand Gestures to Speech Using Neural NetworksSidney Fels, Geoffrey E. Hinton. 843-850 [doi]
- Visual Speech Recognition with Stochastic NetworksJavier R. Movellan. 851-858 [doi]
- Hierarchical Mixtures of Experts Methodology Applied to Continuous Speech RecognitionYing Zhao, Richard M. Schwartz, Jason J. Sroka, John Makhoul. 859-865 [doi]
- Connectionist Speaker Normalization with Generalized Resource Allocating NetworksCesare Furlanello, Diego Giuliani, Edmondo Trentin. 865-874 [doi]
- Using Voice Transformations to Create Additional Training Talkers for Word SpottingEric I. Chang, Richard Lippmann. 875-882 [doi]
- A Comparison of Discrete-Time Operator Models and for Nonlinear System IdentificationAndrew D. Back, Ah Chung Tsoi. 883-890 [doi]
- Learning Saccadic Eye Movements Using Multiscale Spatial FiltersRajesh P. N. Rao, Dana H. Ballard. 893-900 [doi]
- A Convolutional Neural Network Hand TrackerSteven J. Nowlan, John C. Platt. 901-908 [doi]
- Correlation and Interpolation Networks for Real-time Expression Analysis/SynthesisTrevor Darrell, Irfan A. Essa, Alex Pentland. 909-916 [doi]
- Learning direction in global motion: two classes of psychophysically-motivated modelsV. Sundareswaran, Lucia M. Vaina. 917-924 [doi]
- Associative Decorrelation Dynamics: A Theory of Self-Organization and Optimization in Feedback NetworksDawei W. Dong. 925-932 [doi]
- JPMAX: Learning to Recognize Moving Objects as a Model-fitting ProblemSuzanna Becker. 933-940 [doi]
- PCA-Pyramids for Image CompressionHorst Bischof, Kurt Hornik. 941-948 [doi]
- Unsupervised Classification of 3D Objects from 2D ViewsSatoshi Suzuki, Hiroshi Ando. 949-956 [doi]
- New Algorithms for 2D and 3D Point Matching: Pose Estimation and CorrespondenceSteven Gold, Chien-Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness. 957-964 [doi]
- Using a neural net to instantiate a deformable modelChristopher K. I. Williams, Michael Revow, Geoffrey E. Hinton. 965-972 [doi]
- Nonlinear Image Interpolation using Manifold LearningChristoph Bregler, Stephen M. Omohundro. 973-980 [doi]
- Coarse-to-Fine Image Search Using Neural NetworksClay Spence, John C. Pearson, Jim Bergen. 981-988 [doi]
- Transformation Invariant Autoassociation with Application to Handwritten Character RecognitionHolger Schwenk, Maurice Milgram. 992-998 [doi]
- Learning Prototype Models for Tangent DistanceTrevor Hastie, Patrice Simard. 999-1006 [doi]
- Real-Time Control of a Tokamak Plasma Using Neural NetworksChristopher M. Bishop. 1007-1014 [doi]
- Recognizing Handwritten Digits Using Mixtures of Linear ModelsGeoffrey E. Hinton, Michael Revow, Peter Dayan. 1015-1022 [doi]
- Optimal Movement PrimitivesTerence D. Sanger. 1023-1030 [doi]
- An Integrated Architecture of Adaptive Neural Network Control for Dynamic SystemsKe Liu, Robert L. Tokar, Brain D. McVey. 1031-1038 [doi]
- A Connectionist Technique for Accelerated Textual Input: Letting a Network Do the TypingDean Pomerleau. 1039-1046 [doi]
- Predictive Coding with Neural Nets: Application to Text CompressionJürgen Schmidhuber, Stefan Heil. 1047-1054 [doi]
- Predicting the Risk of Complications in Coronary Artery Bypass Operations using Neural NetworksRichard Lippmann, Linda Kukolich, David Shahian. 1055-1062 [doi]
- Comparing the prediction accuracy of artifical neural networks and other statistical models for breast cancer survivalHarry B. Burke, David B. Rosen, Philip H. Goodman. 1063-1067 [doi]
- Learning to Play the Game of ChessSebastian Thrun. 1069-1076 [doi]
- A Mixture Model System for Medical and Machine DiagnosisMagnus Stensmo, Terrence J. Sejnowski. 1077-1084 [doi]
- Inferring Ground Truth from Subjective Labelling of Venus ImagesPadhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi. 1085-1092 [doi]
- The Use of Dynamic Writing Information in a Connectionist On-Line Cursive Handwriting Recognition SystemStefan Manke, Michael Finke, Alex Waibel. 1093-1100 [doi]
- Adaptive Elastic Input Field for Recognition ImprovementMinoru Asogawa. 1101-1108 [doi]
- Pairwise Neural Network Classifiers with Probabilistic OutputsDavid Price, Stefan Knerr, Léon Personnaz, Gérard Dreyfus. 1109-1116 [doi]
- Interference in Learning Internal Models of Inverse Dynamics in HumansReza Shadmehr, Tom Brashers-Krug, Ferdinando A. Mussa-Ivaldi. 1117-1124 [doi]
- Computational Structure of coordinate transformations: A generalization studyZoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan. 1125-1132 [doi]