Table of Contents

• Constraints on Adaptive Networks for Modeling Human GeneralizationMark A. Gluck, M. Pavel, Van Henkle. 2-10 [doi]
• An Optimality Principle for Unsupervised LearningTerence D. Sanger. 11-19 [doi]
• Associative Learning via Inhibitory SearchDavid H. Ackley. 20-28 [doi]
• Fast Learning in Multi-Resolution HierarchiesJohn E. Moody. 29-39 [doi]
• Efficient Parallel Learning Algorithms for Neural NetworksAlan H. Kramer, Alberto L. Sangiovanni-Vincentelli. 40-48 [doi]
• Mapping Classifier Systems Into Neural NetworksLawrence Davis. 49-56 [doi]
• Self Organizing Neural Networks for the Identification ProblemManoel Fernando Tenorio, Wei-Tsih Lee. 57-64 [doi]
• Linear Learning: Landscapes and AlgorithmsPierre Baldi. 65-72 [doi]
• Learning by Choice of Internal RepresentationsTal Grossman, Ronny Meir, Eytan Domany. 73-80 [doi]
• What Size Net Gives Valid Generalization?Eric B. Baum, David Haussler. 81-90 [doi]
• Optimization by Mean Field AnnealingGriff L. Bilbro, Reinhold Mann, Thomas K. Miller, Wesley E. Snyder, David E. van den Bout, Mark White. 91-98 [doi]
• Connectionist Learning of Expert Preferences by Comparison TrainingGerald Tesauro. 99-106 [doi]
• Skeletonization: A Technique for Trimming the Fat from a Network via Relevance AssessmentMichael Mozer, Paul Smolensky. 107-115 [doi]
• The Boltzmann Perceptron Network: A Multi-Layered Feed-Forward Network Equivalent to the Boltzmann MachineEyal Yair, Allen Gersho. 116-123 [doi]
• Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian NoiseRichard Lippmann, Paul Beckman. 124-132 [doi]
• Training Multilayer Perceptrons with the Extende Kalman AlgorithmSharad Singhal, Lance Wu. 133-140 [doi]
• GEMINI: Gradient Estimation Through Matrix Inversion After Noise InjectionYann LeCun, Conrad C. Galland, Geoffrey E. Hinton. 141-148 [doi]
• Fixed Point Analysis for Recurrent NetworksPatrice Simard, Mary B. Ottaway, Dana H. Ballard. 149-159 [doi]
• Scaling and Generalization in Neural Networks: A Case StudySubutai Ahmad, Gerald Tesauro. 160-168 [doi]
• Does the Neuron Learn Like the Synapse?Raoul Tawel. 169-176 [doi]
• Comparing Biases for Minimal Network Construction with Back-PropagationStephen Jose Hanson, Lorien Y. Pratt. 177-185 [doi]
• An Application of the Principle of Maximum Information Preservation to Linear SystemsRalph Linsker. 186-194 [doi]
• Learning with Temporal Derivatives in Pulse-Coded Neuronal SystemsDavid B. Parker, Mark A. Gluck, Eric S. Reifsnider. 195-203 [doi]
• Applications of Error Back-Propagation to Phonetic ClassificationHong C. Leung, Victor Zue. 206-214 [doi]
• Consonant Recognition by Modular Construction of Large Phonemic Time-Delay Neural NetworksAlex Waibel. 215-223 [doi]
• Use of Multi-Layered Networks for Coding Speech with Phonetic FeaturesYoshua Bengio, Régis Cardin, Renato de Mori, Piero Cosi. 224-231 [doi]
• Speech Production Using A Neural Network with a Cooperative Learning MechanismMitsuo Komura, Akio Tanaka. 232-239 [doi]
• Temporal Representations in a Connectionist Speech SystemErich J. Smythe. 240-247 [doi]
• A Connectionist Expert System that Actually WorksRichard Fozzard, Gary Bradshaw, Louis Ceci. 248-255 [doi]
• An Information Theoretic Approach to Rule-Based Connectionist Expert SystemsRodney M. Goodman, John W. Miller, Padhraic Smyth. 256-263 [doi]
• Neural Approach for TV Image Compression Using a Hopfield Type NetworkMartine Naillon, Jean-Bernard Theeten. 264-271 [doi]
• Neural Net Receivers in Multiple Access-CommunicationsBernd-Peter Paris, Geoffrey C. Orsak, Mahesh K. Varanasi, Behnaam Aazhang. 272-280 [doi]
• Performance of Synthetic Neural Network Classification of Noisy Radar SignalsStanley C. Ahalt, F. D. Garber, I. Jouny, Ashok K. Krishnamurthy. 281-288 [doi]
• Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early VisionAllen M. Waxman, Michael Seibert, Robert K. Cunningham, Jian Wu. 289-296 [doi]
• A Network for Image Segmentation Using ColorAnya C. Hurlbert, Tomaso Poggio. 297-304 [doi]
• ALVINN: An Autonomous Land Vehicle in a Neural NetworkDean Pomerleau. 305-313 [doi]
• Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and ControlPhillip Alvelda, A. Miguel San Martin. 314-322 [doi]
• Neural Network Recognizer for Hand-Written Zip Code DigitsJohn S. Denker, W. R. Gardner, Hans Peter Graf, Donnie Henderson, R. E. Howard, Wayne E. Hubbard, Lawrence D. Jackel, Henry S. Baird, Isabelle Guyon. 323-331 [doi]
• Neural Networks that Learn to Discriminate Similar Kanji CharactersYoshihiro Mori, Kazuhiko Yokosawa. 332-339 [doi]
• Backpropagation and Its Application to Handwritten Signature VerificationTimothy S. Wilkinson, Dorothy A. Mighell, Joseph W. Goodman. 340-347 [doi]
• Further Explorations in Visually-Guided Reaching: Making MURPHY SmarterBartlett W. Mel. 348-355 [doi]
• Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm IIKenneth Y. Goldberg, Barak A. Pearlmutter. 356-363 [doi]
• Neuronal Maps for Sensory-Motor Control in the Barn OwlClay Spence, John C. Pearson, J. J. Gelfand, R. M. Peterson, W. E. Sullivan. 366-374 [doi]
• Models of Ocular Dominance Column Formation: Analytical and Computational ResultsKenneth D. Miller, Joseph B. Keller, Michael P. Stryker. 375-383 [doi]
• Modeling Small Oscillating Biological Networks in Analog VLSISylvie Ryckebusch, James M. Bower, Carver Mead. 384-393 [doi]
• Storing Covariance by the Associative Long-Term Potentation and Depression of Synaptic Strengths in the HippocampusPatric K. Stanton, Terrence J. Sejnowski. 394-401 [doi]
• Modeling the Olfactory Bulb - Coupled Nonlinear OscillatorsZhaoping Li, John J. Hopfield. 402-409 [doi]
• Neural Control of Sensory Acquisition: The Vestibulo-Ocular ReflexMichael G. Paulin, Mark E. Nelson, James M. Bower. 410-418 [doi]
• Computer Modeling of Associative LearningDaniel L. Alkon, Francis K. H. Quek, Thomas P. Vogl. 419-435 [doi]
• Simulation and Measurement of the Electric Fields Generated by Weakly Electric FishBrian Rasnow, Christopher Assad, Mark E. Nelson, James M. Bower. 436-443 [doi]
• A Model for Resolution Enhancement (Hyperacuity) in Sensory RepresentationJun Zhang, John P. Miller. 444-450 [doi]
• Theory of Self-Organization of Cortical MapsShigeru Tanaka. 451-458 [doi]
• A Bifurcation Theory Approach to the Programming of Periodic Attractors in Network Models of Olfactory CortexBill Baird. 459-467 [doi]
• Learning the Solution to the Aperture Problem for Pattern Motion with a Hebb RuleMartin I. Sereno. 468-476 [doi]
• A Computationally Robust Anatomical Model for Retinal Directional SelectivityNorberto M. Grzywacz, Franklin R. Amthor. 477-484 [doi]
• GENESIS: A System for Simulating Neural NetworksMatthew A. Wilson, Upinder S. Bhalla, John D. Uhley, James M. Bower. 485-492 [doi]
• Training a 3-Node Neural Network is NP-CompleteAvrim Blum, Ronald L. Rivest. 494-501 [doi]
• Links Between Markov Models and Multilayer PerceptronsHervé Bourlard, Christian Wellekens. 502-510 [doi]
• Convergence and Pattern-Stabilization in the Boltzmann MachineMoshe Kam, Roger Cheng. 511-518 [doi]
• A Back-Propagation Algorithm with Optimal Use of Hidden UnitsYves Chauvin. 519-526 [doi]
• Implications of Recursive Distributed RepresentationsJordan B. Pollack. 527-536 [doi]
• A Massively Parallel Self-Tuning Context-Free ParserEugene Santos Jr.. 537-544 [doi]
• Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language UnderstandingTrent E. Lange, Michael G. Dyer. 545-552 [doi]
• Spreading Activation over Distributed MicrofeaturesJames A. Hendler. 553-559 [doi]
• A Model of Neural Oscillator for a Unified SubmoduleA. B. Kirillov, Galina Borisyuk, Roman Borisyuk, Ye. I. Kovalenko, V. I. Makarenko, V. A. Chulaevsky, V. I. Kryukov. 560-567 [doi]
• Dynamics of Analog Neural Networks with Time DelayCharles M. Marcus, R. M. Westervelt. 568-576 [doi]
• Heterogeneous Neural Networks for Adaptive Behavior in Dynamic EnvironmentsRandall D. Beer, Hillel J. Chiel, Leon Sterling. 577-585 [doi]
• Statistical Prediction with Kanerva s Sparse Distributed MemoryDavid Rogers. 586-593 [doi]
• Range Image Restoration Using Mean Field AnnealingGriff L. Bilbro, Wesley E. Snyder. 594-601 [doi]
• Automatic Local AnnealingJared Leinbach. 602-609 [doi]
• Neurolocator , A Model of AttentionV. I. Kryukov. 610-617 [doi]
• Neural Networks for Model Matching and Perceptual OrganizationEric Mjolsness, Gene Gindi, P. Anandan. 618-625 [doi]
• Analyzing the Energy Landscapes of Distributed Winner-Take-All NetworksDavid S. Touretzky. 626-633 [doi]
• On the K-Winners-Take-All NetworkE. Majani, Ruth Erlanson, Yaser S. Abu-Mostafa. 634-642 [doi]
• Learning Subsequential Structure in Simple Recurrent NetworksDavid Servan-Schreiber, Axel Cleeremans, James L. McClelland. 643-652 [doi]
• An Adaptive Network That Learns Sequences of TransitionsC. L. Winter. 653-660 [doi]
• A Passive Shared Element Analog Electrical CochleaDavid Feld, Joe Eisenberg, Edwin Lewis. 662-670 [doi]
• Programmable Analog Pulse-Firing Neural NetworksAlister Hamilton, Alan F. Murray, Lionel Tarassenko. 671-677 [doi]
• A Low-Power CMOS Circuit Which Emulates Temporal Electrical Properties of NeuronsJack L. Meador, Clint S. Cole. 678-686 [doi]
• An Analog VLSI Chip for Thin-Plate Surface InterpolationJohn G. Harris. 687-694 [doi]
• Analog Implementation of Shunting Neural NetworksBahram Nabet, Robert B. Darling, Robert B. Pinter. 695-702 [doi]
• Winner-Take-All Networks of ::::O(N):::: ComplexityJohn Lazzaro, Sylvie Ryckebusch, Misha Mahowald, Carver Mead. 703-711 [doi]
• A Programmable Analog Neural Computer and SimulatorPaul Mueller, Jan Van der Spiegel, David Blackman, Timothy Chiu, Thomas Clare, Joseph Dao, Christopher Donham, Tzu-pu Hsieh, Marc Loinaz. 712-719 [doi]
• An Electronic Photoreceptor Sensitive to Small Changes in IntensityTobi Delbrück, Carver Mead. 720-727 [doi]
• Digital Realisation of Self-Organizing MapsMartin J. Johnson, Nigel M. Allinson, Kevin J. Moon. 728-738 [doi]
• An Analog Self-Organizing Neural Network ChipJames R. Mann, Sheldon Gilbert. 739-747 [doi]
• Performance of a Stochastic Learning MicrochipJoshua Alspector, Bhusan Gupta, Robert B. Allen. 748-760 [doi]
• Adaptive Neural Networks Using MOS Charge StorageDaniel B. Schwartz, R. E. Howard, Wayne E. Hubbard. 761-768 [doi]
• A Self-Learning Neural NetworkAllan Hartstein, R. H. Koch. 769-776 [doi]
• Training a Limited-Interconnect, Synthetic Neural ICM. R. Walker, S. Haghighi, A. Afghan, Larry A. Akers. 777-784 [doi]
• Electronic Receptors for Tactile/Haptic SensingAndreas G. Andreou. 785-792 [doi]
• Neural ArchitectureValentino Braitenberg. 794 [doi]
• Song Learning in BirdsM. Konishi. 795 [doi]
• Speech Recognition: Statistical and Neural Information Processing ApproachesJohn S. Bridle. 796-801 [doi]
• Cricket Wind DetectionJohn P. Miller. 802-807 [doi]