Abstract is missing.
- Studies of a Model for the Development and Regeneration of Eye-Brain MapsJack D. Cowan, A. E. Friedman. 3-10 [doi]
- Development and Spatial Structure of Cortical Feature Maps: A Model StudyKlaus Obermayer, Helge Ritter, Klaus Schulten. 11-17 [doi]
- Interaction Among Ocularity, Retinotopy and On-center/Off-center PathwaysShigeru Tanaka. 18-25 [doi]
- Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation PatchesJack D. Cowan, A. E. Friedman. 26-31 [doi]
- A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular ReflexThomas J. Anastasio. 32-38 [doi]
- Self-organization of Hebbian Synapses in Hippocampal NeuronsThomas H. Brown, Zachary F. Mainen, Anthony M. Zador, Brenda J. Claiborne. 39-45 [doi]
- Cholinergic Modulation May Enhance Cortical Associative Memory FunctionMichael E. Hasselmo, Brooke P. Anderson, James M. Bower. 46-52 [doi]
- Order Reduction for Dynamical Systems Describing the Behavior of Complex NeuronsThomas B. Kepler, L. F. Abbott, Eve Marder. 55-61 [doi]
- Stochastic NeurodynamicsJack D. Cowan. 62-69 [doi]
- Dynamics of Learning in Recurrent Feature-Discovery NetworksTodd K. Leen. 70-76 [doi]
- A Lagrangian Approach to Fixed PointsEric Mjolsness, Willard L. Miranker. 77-83 [doi]
- Associative Memory in a Network of Biological NeuronsWulfram Gerstner. 84-90 [doi]
- CAM Storage of Analog Patterns and Continuous Sequences with 3N:::2::: WeightsBill Baird, Frank H. Eeckman. 91-97 [doi]
- Connection Topology and Dynamics in Lateral Inhibition NetworksCharles M. Marcus, F. R. Waugh, R. M. Westervelt. 98-104 [doi]
- Shaping the State Space Landscape in Recurrent NetworksPatrice Simard, Jean Pierre Raysz, Bernard Victorri. 105-112 [doi]
- Adjoint-Functions and Temporal Learning Algorithms in Neural NetworksNikzad Benny Toomarian, Jacob Barhen. 113-120 [doi]
- Phase-coupling in Two-Dimensional Networks of Interacting OscillatorsErnst Niebur, Daniel M. Kammen, Christof Koch, Daniel L. Ruderman, Heinz G. Schuster. 123-129 [doi]
- Oscillation Onset in Neural Delayed FeedbackAndré Longtin. 130-136 [doi]
- Analog Computation at a Critical PointLeonid Kruglyak, William Bialek. 137-144 [doi]
- Modeling Time Varying Systems Using Hidden Control Neural ArchitectureEsther Levin. 147-154 [doi]
- The Tempo 2 Algorithm: Adjusting Time-Delays By Supervised LearningUlrich Bodenhausen, Alex Waibel. 155-161 [doi]
- A Theory for Neural Networks with Time DelaysBert de Vries, José Carlos Príncipe. 162-168 [doi]
- ART2/BP Architecture for Adaptive Estimation of Dynamic ProcessesEinar Sørheim. 169-175 [doi]
- Statistical Mechanics of Temporal Association in Neural NetworksAndreas V. M. Herz, Zhaoping Li, J. Leo van Hemmen. 176-182 [doi]
- Learning Time-Varying ConceptsAnthony Kuh, Thomas Petsche, Ronald L. Rivest. 183-189 [doi]
- The Recurrent Cascade-Correlation ArchitectureScott E. Fahlman. 190-196 [doi]
- Continuous Speech Recognition by Linked Predictive Neural NetworksJoe Tebelskis, Alex Waibel, Bojan Petek, Otto Schmidbauer. 199-205 [doi]
- A Recurrent Neural Network for Word Identification from Continuous Phoneme StringsRobert B. Allen, Candace A. Kamm. 206-212 [doi]
- Connectionist Approaches to the Use of Markov Models for Speech RecognitionHervé Bourlard, Nelson Morgan, Chuck Wooters. 213-219 [doi]
- Spoken Letter RecognitionMark A. Fanty, Ronald Cole. 220-226 [doi]
- Speech Recognition Using Demi-Syllable Neural Prediction ModelKen-ichi Iso, Takao Watanabe. 227-233 [doi]
- RecNorm: Simultaneous Normalisation and Classification Applied to Speech RecognitionJohn S. Bridle, Stephen Cox. 234-240 [doi]
- Exploratory Feature Extraction in Speech SignalsNathan Intrator. 241-247 [doi]
- Phonetic Classification and Recognition Using the Multi-Layer PerceptronHong C. Leung, James R. Glass, Michael S. Phillips, Victor Zue. 248-254 [doi]
- From Speech Recognition to Spoken Language UnderstandingVictor Zue, James R. Glass, David Goodine, Lynette Hirschman, Hong C. Leung, Michael S. Phillips, Joseph Polifroni, Stephanie Seneff. 255-261 [doi]
- Speech Recognition Using Connectionist ApproachesKhalid Choukri. 262-269 [doi]
- Natural Dolphin Echo Recognition Using an Integrator Gateway NetworkHerbert L. Roitblat, Patrick W. B. Moore, Paul E. Nachtigall, Ralph H. Penner. 273-279 [doi]
- Signal Processing by Multiplexing and Demultiplexing in NeuronsDavid C. Tam. 282-288 [doi]
- Applications of Neural Networks in Video Signal ProcessingJohn C. Pearson, Clay Spence, Ronald Sverdlove. 289-295 [doi]
- Discovering Viewpoint-Invariant Relationships That Characterize ObjectsRichard S. Zemel, Geoffrey E. Hinton. 299-305 [doi]
- A Neural Network Approach for Three-Dimensional Object RecognitionVolker Tresp. 306-312 [doi]
- A Second-Order Translation, Rotation and Scale Invariant Neural NetworkShelly D. D. Goggin, Kristina M. Johnson, Karl E. Gustafson. 313-319 [doi]
- Learning to See Rotation and Dilation with a Hebb RuleMartin I. Sereno, Margaret E. Sereno. 320-327 [doi]
- Stereopsis by a Neural Network Which Learns the ConstraintsAlireza Khotanzad, Ying-Wung Lee. 327-334 [doi]
- Grouping Contours by Iterated Pairing NetworksAmnon Shashua, Shimon Ullman. 335-341 [doi]
- Neural Dynamics of Motion Segmentation and GroupingEnnio Mingolla. 342-348 [doi]
- A Multiscale Adaptive Network Model of Motion Computation in PrimatesH. Taichi Wang, Bimal Mathur, Christof Koch. 349-355 [doi]
- Qualitative Structure From MotionDaphna Weinshall. 356-362 [doi]
- Optimal Sampling of Natural ImagesWilliam Bialek, Daniel L. Ruderman, A. Zee. 363-369 [doi]
- A VLSI Neural Network for Color ConstancyAndrew W. Moore, John Allman, Geoffrey Fox, Rodney M. Goodman. 370-376 [doi]
- Optimal Filtering in the Salamander RetinaFred Rieke, W. Geoffrey Owen, William Bialek. 377-383 [doi]
- A Four Neuron Circuit Accounts for Change Sensitive Inhibition in Salamander RetinaJeffrey L. Teeters, Frank H. Eeckman, Frank S. Werblin. 384-390 [doi]
- Feedback Synapse to Cone and Light AdaptationJosef Skrzypek. 391-398 [doi]
- An Analog VLSI Chip for Finding Edges from Zero-crossingsWyeth Bair, Christof Koch. 399-405 [doi]
- A Delay-Line Based Motion Detection ChipTimothy K. Horiuchi, John Lazzaro, Andrew Moore, Christof Koch. 406-412 [doi]
- Neural Networks Structured for Control Application to Aircraft LandingCharles Schley, Yves Chauvin, Van Henkle, Richard M. Golden. 415-421 [doi]
- Real-Time Autonomous Robot Navigation Using VLSI Neural NetworksLionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan F. Murray. 422-428 [doi]
- Rapidly Adapting Artificial Neural Networks for Autonomous NavigationDean Pomerleau. 429-435 [doi]
- Learning Trajectory and Force Control of an Artificial Muscle ArmMasazumi Katayama, Mitsuo Kawato. 436-442 [doi]
- Proximity Effect Corrections in Electron Beam LithographyRobert C. Frye, Kevin D. Cummings, Edward A. Rietman. 443-449 [doi]
- Planning with an Adaptive World ModelSebastian Thrun, Knut Möller, Alexander Linden. 450-456 [doi]
- A Connectionist Learning Control Architecture for NavigationJonathan Bachrach. 457-463 [doi]
- Navigating Through Temporal DifferencePeter Dayan. 464-470 [doi]
- Integrated Modeling and Control Based on Reinforcement LearningRichard S. Sutton. 471-478 [doi]
- A Reinforcement Learning Variant for Control SchedulingAloke Guha. 479-485 [doi]
- Adaptive Range CodingBruce E. Rosen, James M. Goodwin, Jacques J. Vidal. 486-492 [doi]
- Neural Network Implementation of Admission ControlRodolfo A. Milito, Isabelle Guyon, Sara A. Solla. 493-499 [doi]
- Reinforcement Learning in Markovian and Non-Markovian EnvironmentsJürgen Schmidhuber. 500-506 [doi]
- A Model of Distributed Sensorimotor Control in the Cockroach Escape TurnRandall D. Beer, G. J. Kacmarcik, Roy E. Ritzmann, Hillel J. Chiel. 507-513 [doi]
- Flight Control in the Dragonfly: A Neurobiological SimulationWilliam E. Faller, Marvin W. Luttges. 514-520 [doi]
- A Novel Approach to Prediction of the 3-Dimensional StructuresHenrik Fredholm, Henrik Bohr, Jakob Bohr, Søren Brunak, Rodney M. J. Cotterill, Benny Lautrup, Steffen B. Petersen. 523-529 [doi]
- Training Knowledge-Based Neural Networks to Recognize GenesMichiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik. 530-536 [doi]
- Neural Network Application to DiagnosticsKenneth A. Marko. 537-543 [doi]
- Lg Depth Estimation and Ripple Fire CharacterizationJohn L. Perry, Douglas R. Baumgardt. 544-550 [doi]
- A B-P ANN Commodity TraderJoseph E. Collard. 551-556 [doi]
- Integrated Segmentation and Recognition of Hand-Printed NumeralsJames D. Keeler, David E. Rumelhart, Wee Kheng Leow. 557-563 [doi]
- EMPATH: Face, Emotion, and Gender Recognition Using HolonsGarrison W. Cottrell, Janet Metcalfe. 564-571 [doi]
- SEXNET: A Neural Network Identifies Sex From Human FacesBeatrice A. Golomb, David T. Lawrence, Terrence J. Sejnowski. 572-579 [doi]
- A Neural Expert System with Automated Extraction of Fuzzy If-Then RulesYoichi Hayashi. 578-584 [doi]
- Analog Neural Networks as DecodersRuth Erlanson, Yaser S. Abu-Mostafa. 585-588 [doi]
- Distributed Recursive Structure ProcessingGeraldine Legendre, Yoshiro Miyata, Paul Smolensky. 591-597 [doi]
- Translating Locative PrepositionsPaul W. Munro, Mary Tabasko. 598-604 [doi]
- A Short-Term Memory Architecture for the Learning of Morphophonemic RulesMichael Gasser, Chan-Do Lee. 605-611 [doi]
- Exploiting Syllable Structure in a Connectionist Phonology ModelDavid S. Touretzky, Deirdre W. Wheeler. 612-618 [doi]
- Language Induction by Phase Transition in Dynamical RecognizersJordan B. Pollack. 619-626 [doi]
- Discovering Discrete Distributed RepresentationsMichael Mozer. 627-634 [doi]
- Direct Memory Access Using Two CuesJanet Wiles, Michael S. Humphreys, John D. Bain, Simon Dennis. 635-641 [doi]
- An Attractor Neural Network Model of Recall and RecognitionEytan Ruppin, Yehezkel Yeshurun. 642-648 [doi]
- ALCOVE: A Connectionist Model of Human Category LearningJohn K. Kruschke. 649-655 [doi]
- Spherical Units as Dynamic Consequential RegionsStephen Jose Hanson, Mark A. Gluck. 656-664 [doi]
- Connectionist Implementation of a Theory of GeneralizationRoger N. Shepard, Sheila Kannappan. 665-671 [doi]
- Adaptive Spline NetworksJerome H. Friedman. 675-683 [doi]
- Multi-Layer Perceptrons with B-Spline Receptive Field FunctionsStephen Lane, Marshall Flax, David Handelman, Jack Gelfand. 684-692 [doi]
- Bumptrees for Efficient Function, Constraint and Classification LearningStephen M. Omohundro. 693-699 [doi]
- Basis-Function Trees as a Generalization of Local Variable Selection MethodsTerence D. Sanger. 700-706 [doi]
- Generalization Properties of Radial Basis FunctionsSherif M. Botros, Christopher G. Atkeson. 707-713 [doi]
- Leaning by Combining Memorization and Gradient DescentJohn C. Platt. 714-720 [doi]
- Sequential Adaptation of Radial Basis Function NetworksVisakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside. 721-727 [doi]
- Oriented Non-Radial Basis Functions for Image Coding and AnalysisAvijit Saha, Jim Christian, Dun-Sung Tang, Chuan-lin Wu. 728-734 [doi]
- Computing with Arrays of Bell-Shaped and Sigmoid FunctionsPierre Baldi. 735-742 [doi]
- Discrete Affine Wavelet TransformsY. C. Pati, P. S. Krishnaprasad. 743-749 [doi]
- Extensions of a Theory of Networks for Approximation and LearningFederico Girosi, Tomaso Poggio, Bruno Caprile. 750-756 [doi]
- How Receptive Field Parameters Affect Neural LearningBartlett W. Mel, Stephen M. Omohundro. 757-763 [doi]
- A Competitive Modular Connectionist ArchitectureRobert A. Jacobs, Michael I. Jordan. 767-773 [doi]
- Evaluation of Adaptive Mixtures of Competing ExpertsSteven J. Nowlan, Geoffrey E. Hinton. 774-780 [doi]
- A Framework for the Cooperation of Learning AlgorithmsLéon Bottou, Patrick Gallinari. 781-788 [doi]
- Connectionist Music Composition Based on Melodic and Stylistic ConstraintsMichael Mozer, Todd Soukup. 789-796 [doi]
- Using Genetic Algorithms to Improve Pattern Classification PerformanceEric I. Chang, Richard Lippmann. 797-803 [doi]
- Evolution and Learning in Neural NetworksRon Keesing, David G. Stork. 804-810 [doi]
- Designing Linear Threshold Based Neural Network Pattern ClassifiersTerrence Fine. 811-817 [doi]
- On Stochastic Complexity and Admissible Models for Neural Network ClassifiersPadhraic Smyth. 818-824 [doi]
- Efficient Design of Boltzmann MachinesAjay Gupta 0007, Wolfgang Maass. 825-831 [doi]
- Note on Learning Rate Schedules for Stochastic OptimizationChristian Darken, John E. Moody. 832-838 [doi]
- Convergence of a Neural Network ClassifierJohn S. Baras, Anthony LaVigna. 839-845 [doi]
- Learning Theory and Experiments with Competitive NetworksGriff L. Bilbro, David E. van den Bout. 846-852 [doi]
- Transforming Neural-Net Output Levels to Probability DistributionsJohn S. Denker, Yann LeCun. 853-859 [doi]
- Back Propagation is Sensitive to Initial ConditionsJohn F. Kolen, Jordan B. Pollack. 860-867 [doi]
- Closed-Form Inversion of Backpropagation NetworksMichael L. Rossen. 868-872 [doi]
- Generalization by Weight-Elimination with Application to ForecastingAndreas S. Weigend, David E. Rumelhart, Bernardo A. Huberman. 875-882 [doi]
- The Devil and the NetworkSanjay Biswas, Santosh S. Venkatesh. 883-889 [doi]
- Generalization Dynamics in LMS Trained Linear NetworksYves Chauvin. 890-896 [doi]
- Dynamics of Generalization in Linear PerceptronsAnders Krogh, John A. Hertz. 897-903 [doi]
- Constructing Hidden Units Using Examples and QueriesEric B. Baum, Kevin J. Lang. 904-910 [doi]
- Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds?David A. Cohn, Gerald Tesauro. 911-917 [doi]
- Second Order Properties of Error SurfacesYann LeCun, Ido Kanter, Sara A. Solla. 918-924 [doi]
- Chaitin-Kolmogorov Complexity and Generalization in Neural NetworksBarak A. Pearlmutter, Ronald Rosenfeld. 925-931 [doi]
- Asymptotic Slowing Down of the Nearest-Neighbor ClassifierRobert R. Snapp, Demetri Psaltis, Santosh S. Venkatesh. 932-938 [doi]
- Remarks on Interpolation and Recognition Using Neural NetsEduardo D. Sontag. 939-945 [doi]
- epsilon-Entropy and the Complexity of Feedforward Neural NetworksRobert C. Williamson. 946-952 [doi]
- On the Circuit Complexity of Neural NetworksVwani P. Roychowdhury, Alon Orlitsky, Kai-Yeung Siu, Thomas Kailath. 953-959 [doi]
- Comparison of Three Classification Techniques: CART, C4.5 and Multi-Layer PerceptronsAh Chung Tsoi, R. A. Pearson. 963-969 [doi]
- Practical Characteristics of Neural Network and Conventional Patterns ClassifiersKenney Ng, Richard Lippmann. 970-976 [doi]
- Time Trials on Second-Order and Variable-Learning-Rate AlgorithmsRichard Rohwer. 977-983 [doi]
- Kohonen Networks and ClusteringWesley E. Snyder, Daniel Nissman, David E. van den Bout, Griff L. Bilbro. 984-990 [doi]
- VLSI Implementations of Learning and Memory SystemsMark A. Holler. 993-1000 [doi]
- Compact EEPROM-based Weight FunctionsA. Kramer, C. K. Sin, R. Chu, P. K. Ko. 1001-1007 [doi]
- An Analog VLSI Splining NetworkDaniel B. Schwartz, Vijay K. Samalam. 1008-1014 [doi]
- Relaxation Networks for Large Supervised Learning ProblemsJoshua Alspector, Robert B. Allen, Anthony Jayakumar, Torsten Zeppelfeld, Ronny Meir. 1015-1021 [doi]
- Design and Implementation of a High Speed CMAC Neural NetworkW. Thomas Miller III, Brian A. Box, Erich C. Whitney, James M. Glynn. 1022-1027 [doi]
- Back Propagation ImplementationHal McCartor. 1028-1031 [doi]
- Reconfigurable Neural Net Chip with 32K ConnectionsHans Peter Graf, R. Janow, Donnie Henderson, R. Lee. 1032-1038 [doi]
- Simulation of the Neocognitron on a CCD Parallel Processing ArchitectureMichael L. Chuang, Alice M. Chiang. 1039-1045 [doi]
- VLSI Implementation of TInMANNMatt Melton, Tan Phan, Douglas S. Reeves, David E. van den Bout. 1046-1052 [doi]