Abstract is missing.
- Models Wanted: Must Fit Dimensions of Sleep and DreamingJ. Allan Hobson, Adam N. Mamelak, Jeffrey P. Sutton. 3-10 [doi]
- Stationarity of Synaptic Coupling Strength Between Neurons with Nonstationary Discharge PropertiesMark Sydorenko, Eric D. Young. 11-18 [doi]
- Perturbing Hebbian RulesPeter Dayan, Geoffrey J. Goodhill. 19-26 [doi]
- Statistical Reliability of a Blowfly Movement-Sensitive NeuronRobert R. de Ruyter van Steveninck, William Bialek. 27-34 [doi]
- The Clusteron: Toward a Simple Abstraction for a Complex NeuronBartlett W. Mel. 35-42 [doi]
- Network Activity Determines Spatio-Temporal Integration in Single CellsÖjvind Bernander, Christof Koch, Rodney J. Douglas. 43-50 [doi]
- Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic MembraneAnthony M. Zador, Brenda J. Claiborne, Thomas H. Brown. 51-58 [doi]
- Self-organization in Real Neurons: Anti-Hebb in Channel Space ?Anthony J. Bell. 59-66 [doi]
- Single Neuron Model: Response to Weak Modulation in the Presence of NoiseAdi R. Bulsara, E. W. Jacobs, Frank Moss. 67-74 [doi]
- Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in a Cat Striate CortexA. B. Bonds. 75-82 [doi]
- A Comparison between a Neural Network Model for the Formation of Brain Maps and Experimental DataKlaus Obermayer, Klaus Schulten, Gary G. Blasdel. 83-90 [doi]
- Retinogeniculate Development: The Role of Competition and Correlated Retinal ActivityRon Keesing, David G. Stork, Carla J. Shatz. 91-97 [doi]
- Locomotion in a Lower Vertebrate: Studies of the Cellular Basis of Rhythmogenesis and Oscillator CouplingJames T. Buchanan. 101-108 [doi]
- Adaptive Synchronization of Neural and Physical OscillatorsKenji Doya, Shuji Yoshizawa. 109-116 [doi]
- Burst Synchronization without Frequency Locking in a Completely Solvable Neural Network ModelHeinz G. Schuster, Christof Koch. 117-124 [doi]
- Oscillatory Model of Short Term MemoryDavid Horn, Marius Usher. 125-132 [doi]
- Multi-State Time Delay Networks for Continuous Speech RecognitionPatrick Haffner, Alex Waibel. 135-142 [doi]
- Modeling Applications with the Focused Gamma NetJosé Carlos Príncipe, Bert de Vries, Jyh-Ming Kuo, Pedro Guedes de Oliveira. 143-150 [doi]
- Time-Warping Network: A Hybrid Framework for Speech RecognitionEsther Levin, Roberto Pieraccini, Enrico Bocchieri. 151-158 [doi]
- Improved Hidden Markov Models Speech Recognition Using Radial Basis Function NetworksElliot Singer, Richard Lippmann. 159-166 [doi]
- Connectionist Optimisation of Tied Mixture Hidden Markov ModelsSteve Renals, Nelson Morgan, Hervé Bourlard, Horacio Franco, Michael Cohen. 167-174 [doi]
- Neural Network - Gaussian Mixture Hybrid for Speech Recognition or Density EstimationYoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe. 175-182 [doi]
- JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist TechniquesAlex Waibel, Ajay N. Jain, Arthur E. McNair, Joe Tebelskis, Louise Osterholtz, Hiroaki Saito, Otto Schmidbauer, Tilo Sloboda, Monika Woszczyna. 183-190 [doi]
- Forward Dynamics Modeling of Speech Motor Control Using Physiological DataMakoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato, Michael I. Jordan. 191-198 [doi]
- English Alphabet Recognition with Telephone SpeechMark A. Fanty, Ronald Cole, Krist Roginski. 199-206 [doi]
- Generalization Performance in PARSEC - A Structured Connectionist Parsing ArchitectureAjay N. Jain. 209-216 [doi]
- Constructing Proofs in Symmetric NetworksGadi Pinkus. 217-224 [doi]
- A Connectionist Learning Approach to Analyzing Linguistic StressPrahlad Gupta, David S. Touretzky. 225-232 [doi]
- Propagation Filters in PDS Networks for Sequencing and Ambiguity ResolutionRonald A. Sumida, Michael G. Dyer. 233-240 [doi]
- A Segment-Based Automatic Language Identification SystemYeshwant K. Muthusamy, Ronald Cole. 241-248 [doi]
- The Efficient Learning of Multiple Task SequencesSatinder P. Singh. 251-258 [doi]
- Practical Issues in Temporal Difference LearningGerald Tesauro. 259-266 [doi]
- HARMONET: A Neural Net for Harmonizing Chorales in the Style of J. S. BachHermann Hild, Johannes Feulner, Wolfram Menzel. 267-274 [doi]
- Induction of Multiscale Temporal StructureMichael Mozer. 275-282 [doi]
- Network Model of State-Dependent SequencingJeffrey P. Sutton, Adam N. Mamelak, J. Allan Hobson. 283-290 [doi]
- Learning Unambiguous Reduced Sequence DescriptionsJürgen Schmidhuber. 291-298 [doi]
- Recurrent Networks and NARMA ModelingJerome Connor, Les E. Atlas, Douglas R. Martin. 301-308 [doi]
- Induction of Finite-State Automata Using Second-Order Recurrent NetworksRaymond L. Watrous, Gary M. Kuhn. 309-317 [doi]
- Extracting and Learning an Unknown Grammar with Recurrent Neural NetworksC. Lee Giles, Clifford B. Miller, D. Chen, Guo-Zheng Sun, H. H. Chen, Y. C. Lee. 317-324 [doi]
- Operators and Curried Functions: Training and Analysis of Simple Recurrent NetworksJanet Wiles, Anthony Bloesch. 325-332 [doi]
- Green s Function Method for Fast On-Line Learning Algorithm of Recurrent Neural NetworksGuo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee. 333-340 [doi]
- Dynamically-Adaptive Winner-Take-All NetworksTrent E. Lange. 341-348 [doi]
- Information Processing to Create Eye MovementsDavid A. Robinson. 351-355 [doi]
- Decoding of Neuronal Signals in Visual Pattern RecognitionEmad N. Eskandar, Barry J. Richmond, John A. Hertz, Lance M. Optican, Troels W. Kjær. 356-363 [doi]
- Learning How to Teach or Selecting Minimal Surface DataDavi Geiger, Ricardo A. Marques Pereira. 364-371 [doi]
- Learning to Make Coherent Predictions in Domains with DiscontinuitiesSuzanna Becker, Geoffrey E. Hinton. 372-379 [doi]
- Recurrent Eye Tracking Network Using a Distributed Representation of Image MotionPaul A. Viola, Stephen G. Lisberger, Terrence J. Sejnowski. 380-387 [doi]
- Against Edges: Function Approximation with Multiple Support MapsTrevor Darrell, Alex Pentland. 388-395 [doi]
- Markov Random Fields Can Bridge Levels of AbstractionPaul R. Cooper, Peter N. Prokopowicz. 396-403 [doi]
- Illumination and View Position in 3D Visual RecognitionAmnon Shashua. 404-411 [doi]
- Hierarchical Transformation of Space in the Visual SystemAlexandre Pouget, Stephen A. Fisher, Terrence J. Sejnowski. 412-419 [doi]
- VISIT: A Neural Model of Covert Visual AttentionSubutai Ahmad. 420-427 [doi]
- Visual Grammars and Their Neural NetsEric Mjolsness. 428-435 [doi]
- Learning to Segment Images Using Dynamic Feature BindingMichael Mozer, Richard S. Zemel, Marlene Behrmann. 436-443 [doi]
- Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and DiscoveryHayit Greenspan, Rodney M. Goodman, Rama Chellappa. 444-451 [doi]
- Linear Operator for Object RecognitionRonen Basri, Shimon Ullman. 452-459 [doi]
- 3D Object Recognition Using Unsupervised Feature ExtractionNathan Intrator, Josh I. Gold, Heinrich H. Bülthoff, Shimon Edelman. 460-467 [doi]
- Structural Risk Minimization for Character RecognitionIsabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla. 471-479 [doi]
- Image Segmentation with Networks of Variable StatesHans Peter Graf, Craig R. Nohl, Jan Ben. 480-487 [doi]
- Multi-Digit Recognition Using a Space Displacement Neural NetworkOfer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker. 488-495 [doi]
- A Self-Organizing Integrated Segmentation and Recognition Neural NetJames D. Keeler, David E. Rumelhart. 496-503 [doi]
- Recognizing Overlapping Hand-Printed Characters by Centered-Object Integrated Segmentation and RecognitionGale Martin, Mosfeq Rashid. 504-511 [doi]
- Adaptive Elastic Models for Hand-Printed Character RecognitionGeoffrey E. Hinton, Christopher K. I. Williams, Michael Revow. 512-519 [doi]
- Obstacle Avoidance through Reinforcement LearningTony J. Prescott, John E. W. Mayhew. 523-530 [doi]
- Active Exploration in Dynamic EnvironmentsSebastian Thrun, Knut Möller. 531-538 [doi]
- Oscillatory Neural Fields for Globally Optimal Path PlanningMichael D. Lemmon. 539-546 [doi]
- Recognition of Manipulated Objects by Motor LearningHiroaki Gomi, Mitsuo Kawato. 547-554 [doi]
- Refined PID Controllers Using Neural NetworksGary M. Scott, Jude W. Shavlik, W. Harmon Ray. 555-562 [doi]
- Fast Learning with Predictive Forward ModelsCarlos D. Brody. 563-570 [doi]
- Fast, Robust Adaptive Control by Learning only Forward ModelsAndrew W. Moore. 571-578 [doi]
- Reverse TDNN: An Architecture For Trajectory GenerationPatrice Simard, Yann LeCun. 579-588 [doi]
- Learning Global Direct Inverse KinematicsDavid DeMers, Kenneth Kreutz-Delgado. 589-595 [doi]
- A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and BrainstemPaul Dean, John E. W. Mayhew, Pat Langdon. 595-602 [doi]
- Learning in the Vestibular System: Simulations of Vestibular Compensation Using Recurrent Back-PropagationThomas J. Anastasio. 603-610 [doi]
- A Cortico-Cerebellar Model that Learns to Generate Distributed Motor Commands to Control a Kinematic ArmN. E. Berthier, Satinder P. Singh, Andrew G. Barto, James C. Houk. 611-618 [doi]
- A Computational Mechanism to Account for Averaged Modified Hand TrajectoriesEalan A. Henis, Tamar Flash. 619-626 [doi]
- Simulation of Optimal Movements Using the Minimum-Muscle-Tension-Change ModelMenashe Dornay, Yoji Uno, Mitsuo Kawato, Ryoji Suzuki. 627-634 [doi]
- ANN Board Classification for Heart DefibrillatorsMarwan A. Jabri, Stephen Pickard, P. Leong, Z. Chi, Barry Flower, Y. Xie. 637-644 [doi]
- Neural Network Diagnosis of Avascular Necrosis from Magnetic Resonance ImagesArmando Manduca, Paul Christy, Richard L. Ehman. 645-650 [doi]
- Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts VigilanceRita Venturini, William W. Lytton, Terrence J. Sejnowski. 651-658 [doi]
- Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data DeficiencyMartin Röscheisen, Reimar Hofmann, Volker Tresp. 659-666 [doi]
- Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing ModelsPadhraic Smyth, Jeff Mellstrom. 667-674 [doi]
- Multimodular Architecture fir Remote Sensing OptionsSylvie Thiria, Carlos Mejia, Fouad Badran, Michel Crépon. 675-682 [doi]
- Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating PredictionJohn E. Moody, Joachim Utans. 683-690 [doi]
- Adaptive Development of Connectionist Decoders for Complex Error-Correcting CodesSheri L. Gish, Mario Blaum. 691-697 [doi]
- Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate MillAh Chung Tsoi. 698-705 [doi]
- Computer Recognition of Wave Location in Graphical Data by a Neural NetworkDonald T. Freeman. 706-713 [doi]
- A Neural Network for Motion Detection of Drift-Balanced StimuliHilary Tunley. 714-721 [doi]
- Neural Network Routing for Random Multistage Interconnection NetworksMark W. Goudreau, C. Lee Giles. 722-729 [doi]
- Networks for the Separation of Sources that Are Superimposed and DelayedJohn C. Platt, Federico Faggin. 730-737 [doi]
- CCD Neural Network Processors for Pattern RecognitionAlice M. Chiang, Michael L. Chuang, Jeffrey R. LaFranchise. 741-747 [doi]
- A Parallel Analog CCD/CMOS Signal ProcessorCharles F. Neugebauer, Amnon Yariv. 748-755 [doi]
- Direction Selective Silicon Retina that Uses Null InhibitionRonald G. Benson, Tobi Delbrück. 756-763 [doi]
- A Contrast Sensitive Silicon Retina with Reciprocal SynapsesKwabena Boahen, Andreas G. Andreou. 764-772 [doi]
- A Neurocomputer Board Based on the ANNA Neural Network ChipEduard Säckinger, Bernhard E. Boser, Lawrence D. Jackel. 773-780 [doi]
- Software for ANN Training on a Ring Array ProcessorPhil Kohn, Jeff Bilmes, Nelson Morgan, James Beck. 781-788 [doi]
- Constrained Optimization Applied to the Parameter Setting Problem for Analog CircuitsDavid Kirk, Kurt W. Fleischer, Lloyd Watts, Alan H. Barr. 789-796 [doi]
- Segmentation Circuits Using Constrained OptimizationJohn G. Harris. 797-804 [doi]
- Analog LSI Implementation of an Auto-Adaptive Network for Real-Time Separation of Independent SignalsMarc H. Cohen, Philippe O. Pouliquen, Andreas G. Andreou. 805-812 [doi]
- Temporal Adaptation in a Silicon Auditory NerveJohn Lazzaro. 813-820 [doi]
- Optical Implementation of a Self-Organizing Feature ExtractorDana Z. Anderson, Claus Benkert, Verena Hebler, Ju-Seog Jang, Don Montgomery, Mark Saffman. 821-828 [doi]
- Principles of Risk Minimization for Learning TheoryVladimir Vapnik. 831-838 [doi]
- Bayesian Model Comparison and Backprop NetsDavid J. C. MacKay. 839-846 [doi]
- The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning SystemsJohn E. Moody. 847-854 [doi]
- Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension MethodsDavid Haussler, Michael J. Kearns, Manfred Opper, Robert E. Schapire. 855-862 [doi]
- Constant-Time Loading of Shallow 1-Dimensional NetworksJ. Stephen Judd. 863-870 [doi]
- Experimental Evaluation of Learning in a Neural MicrosystemJoshua Alspector, Anthony Jayakumar, Stephen Luna. 871-878 [doi]
- Threshold Network Learning in the Presence of EquivalencesJohn Shawe-Taylor. 879-886 [doi]
- Gradient Descent: Second Order Momentum and Saturating ErrorBarak A. Pearlmutter. 887-894 [doi]
- Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive NetworkPatrice Simard, Bernard Victorri, Yann LeCun, John S. Denker. 895-903 [doi]
- Polynomial Uniform Convergence of Relative Frequencies to ProbabilitiesAlberto Bertoni, Paola Campadelli, Anna Morpurgo, Sandra Panizza. 904-911 [doi]
- Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer NetworksYoav Freund, David Haussler. 912-919 [doi]
- Incrementally Learning Time-Varying Half PlanesAnthony Kuh, Thomas Petsche, Ronald L. Rivest. 920-927 [doi]
- The VC-Dimension versus the Statistical Capacity of Multilayer NetworksChuanyi Ji, Demetri Psaltis. 928-935 [doi]
- Some Approximation Properties of Projection Pursuit Learning NetworksYing Zhao, Christopher G. Atkeson. 936-943 [doi]
- Neural Computing with Small WeightsKai-Yeung Siu, Jehoshua Bruck. 944-949 [doi]
- A Simple Weight Decay Can Improve GeneralizationAnders Krogh, John A. Hertz. 950-957 [doi]
- Best-First Model Merging for Dynamic Learning and RecognitionStephen M. Omohundro. 958-965 [doi]
- Rule Induction through Integrated Symbolic and Subsymbolic ProcessingClayton McMillan, Michael Mozer, Paul Smolensky. 969-976 [doi]
- Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into RulesGeoffrey G. Towell, Jude W. Shavlik. 977-984 [doi]
- Hierarchies of Adaptive ExpertsMichael I. Jordan, Robert A. Jacobs. 985-992 [doi]
- Adaptive Soft Weight Tying using Gaussian MixturesSteven J. Nowlan, Geoffrey E. Hinton. 993-1000 [doi]
- Repeat Until Bored: A Pattern Selection StrategyPaul W. Munro. 1001-1008 [doi]
- Towards Faster Stochastic Gradient SearchChristian Darken, John E. Moody. 1009-1016 [doi]
- Competitive Anti-Hebbian Learning of InvariantsNicol N. Schraudolph, Terrence J. Sejnowski. 1017-1024 [doi]
- Merging Constrained Optimisation with Deterministic Annealing to Solve Combinatorially Hard ProblemsPaul E. Stolorz. 1025-1032 [doi]
- Kernel Regression and Backpropagation Training With NoisePetri Koistinen, Lasse Holmström. 1033-1039 [doi]
- Splines, Rational Functions and Neural NetworksRobert C. Williamson, Peter L. Bartlett. 1040-1047 [doi]
- Networks with Learned Unit Response FunctionsJohn Moody, Norman Yarvin. 1048-1055 [doi]
- Learning in Feedforward Networks with Nonsmooth FunctionsNicholas J. Redding, Tom Downs. 1056-1063 [doi]
- Iterative Construction of Sparse Polynomial ApproximationsTerence D. Sanger, Richard S. Sutton, Christopher J. Matheus. 1064-1071 [doi]
- Node Splitting: A Constructive Algorithm for Feed-Forward Neural NetworksMike Wynne-Jones. 1072-1079 [doi]
- Information Measure Based SkeletonisationSowmya Ramachandran, Lorien Y. Pratt. 1080-1087 [doi]
- Data Analysis Using G/SplinesDavid Rogers. 1088-1095 [doi]
- Unsupervised Classifiers, Mutual Information and Phantom Targets John S. Bridle, Anthony J. R. Heading, David J. C. MacKay. 1096-1101 [doi]
- A Network of Localized Linear DiscriminantsMartin S. Glassman. 1102-1109 [doi]
- A Weighted Probabilistic Neural NetworkDavid J. Montana. 1110-1117 [doi]
- Network Generalization for Production: Learning and Producing Styled LetterformsIgor Grebert, David G. Stork, Ron Keesing, Steve Mims. 1118-1124 [doi]
- Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern ClassifiersJohn B. Hampshire II, B. V. K. Vijaya Kumar. 1125-1132 [doi]
- Improving the Performance of Radial Basis Function Networks by Learning Center LocationsDietrich Wettschereck, Thomas G. Dietterich. 1133-1140 [doi]
- A Topographic Product for the Optimization of Self-Organizing Feature MapsHans-Ulrich Bauer, Klaus Pawelzik, Theo Geisel. 1141-1147 [doi]
- Human and Machine Quick Modeling Jakob Bernasconi, Karl Gustafson. 1151-1158 [doi]
- A Comparison of Projection Pursuit and Neural Network Regression ModelingJenq-Neng Huang, Hang Li, Martin Maechler, R. Douglas Martin, Jim Schimert. 1159-1166 [doi]
- Benchmarking Feed-Forward Neural Networks: Models and MeasuresLeonard G. C. Hamey. 1167-1174 [doi]