Table of Contents

• Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole ImagesJames A. Simmons. 2-9 [doi]
• The Computation of Sound Source Evaluation in the Barn OwlClay Spence, John C. Pearson. 10-17 [doi]
• Mechanisms for Neuromodulation of Biological Neural NetworksRonald M. Harris-Warrick. 18-27 [doi]
• Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the LeechShawn R. Lockery, Yan Fang, Terrence J. Sejnowski. 28-35 [doi]
• Reading a Neural CodeWilliam Bialek, Fred Rieke, Robert R. de Ruyter van Steveninck, David Warland. 36-43 [doi]
• Neural Implementation of Motivated Behavior: Feeding in an Artificial InsectRandall D. Beer, Hillel J. Chiel. 44-51 [doi]
• Neural Network Simulation of Somatosensory Representational PlasticityKamil A. Grajski, Michael Merzenich. 52-59 [doi]
• Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?Mark E. Nelson, James M. Bower. 60-67 [doi]
• Associative Memory in a Simple Model of Oscillating CortexBill Baird. 68-75 [doi]
• Collective Oscillations in the Visual CortexDaniel M. Kammen, Christof Koch, Philip J. Holmes. 76-83 [doi]
• Computer Simulation of Oscillatory Behavior in Cerebral Cortical NetworksMatthew A. Wilson, James M. Bower. 84-91 [doi]
• Development and Regeneration of Eye-Brain Maps: A Computational ModelJack D. Cowan, A. E. Friedman. 92-99 [doi]
• The Effect of Catecholamines on Performance: From Unit to System BehaviorDavid Servan-Schreiber, Harry Printz, Jonathan D. Cohen. 100-108 [doi]
• Non-Boltzmann Dynamics in Networks of Spiking NeuronsMichael C. Crair, William Bialek. 109-116 [doi]
• A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in RatsMaurice Lee, James M. Bower. 117-124 [doi]
• Can Simple Cells Learn Curves? A Hebbian Model in a Structured EnvironmentWilliam R. Softky, Daniel M. Kammen. 125-132 [doi]
• Note on Development of Modularity in Simple Cortical ModelsAlex Chernajvsky, John E. Moody. 133-140 [doi]
• Effects of Firing Synchrony on Signal Propagation in Layered NetworksG. T. Kenyon, Eberhard E. Fetz, R. D. Puff. 141-148 [doi]
• A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active MembranesPaul C. Rhodes. 149-159 [doi]
• Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural NetDun-Sung Tang. 160-165 [doi]
• Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech ProblemsYuchun Lee, Richard Lippmann. 168-177 [doi]
• Dimensionality Reduction and Prior Knowledge in E-Set RecognitionKevin J. Lang, Geoffrey E. Hinton. 178-185 [doi]
• A Continuous Speech Recognition System Embedding MLP into HMMHervé Bourlard, Nelson Morgan. 186-193 [doi]
• HMM Speech Recognition with Neural Net DiscriminationWilliam Y. Huang, Richard Lippmann. 194-202 [doi]
• Connectionist Architectures for Multi-Speaker Phoneme RecognitionJohn B. Hampshire II, Alex Waibel. 203-210 [doi]
• Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of ParametersJohn S. Bridle. 211-217 [doi]
• Speaker Independent Speech Recognition with Neural Networks and Speech KnowledgeYoshua Bengio, Renato de Mori, Régis Cardin. 218-225 [doi]
• The Effects of Circuit Integration on a Feature Map Vector QuantizerJim Mann. 226-231 [doi]
• Combining Visual and Acoustic Speech Signals with a Neural Network Improves IntelligibilityTerrence J. Sejnowski, B. Yuhas, Moise H. Goldstein Jr., R. E. Jenkins. 232-239 [doi]
• Using a Translation-Invariant Neural Network to Diagnose Heart ArrhythmiaSusan Ciarrocca Lee. 240-247 [doi]
• A Neural Network for Real-Time Signal ProcessingDonald B. Malkoff. 248-255 [doi]
• Learning Aspect Graph Representations from View SequencesMichael Seibert, Allen M. Waxman. 258-265 [doi]
• TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame TransformationsRichard S. Zemel, Michael Mozer, Geoffrey E. Hinton. 266-273 [doi]
• A Self-Organizing Multiple-View Representations of 3D ObjectsDaphna Weinshall, Shimon Edelman, Heinrich H. Bülthoff. 274-281 [doi]
• Contour-Map Encoding of Shape for Early VisionPentti Kanerva. 282-289 [doi]
• Neurally Inspired Plasticity in Oculomotor ProcessesPaul A. Viola. 290-297 [doi]
• Model Based Image Compression and Adaptive Data Representaion by Interacting Filter BanksToshiaki Okamoto, Mitsuo Kawato, Toshio Inui, Sei Miyake. 298-305 [doi]
• Neuronal Group Selection Theory: A Grounding in RoboticsJim Donnett, Tim Smithers. 308-315 [doi]
• Using Local Models to Control MovementChristopher G. Atkeson. 316-323 [doi]
• Learning to Control an Unstable System with Forward ModelingMichael I. Jordan, Robert A. Jacobs. 324-331 [doi]
• A Self-organizing Associative Memory System for Control ApplicationsMichael Hormel. 332-339 [doi]
• Operational Fault Tolerance of CMAC NetworksMichael J. Carter, Franklin J. Rudolph, Adam J. Nucci. 340-347 [doi]
• Neural Network Weight Matrix Synthesis Using Optimal Control TechniquesO. Farotimi, Amir Dembo, Thomas Kailath. 348-354 [doi]
• Generalized Hopfield Networks and Nonlinear OptimizationGintaras V. Reklaitis, Athanasios G. Tsirukis, Manoel Fernando Tenorio. 355-362 [doi]
• Incremental Parsing by Modular Recurrent Connectionist NetworksAjay N. Jain, Alex Waibel. 364-371 [doi]
• A Computational Basis for PhonologyDavid S. Touretzky, Deirdre W. Wheeler. 372-379 [doi]
• Higher Order Recurrent Networks and Grammatical InferenceC. Lee Giles, Guo-Zheng Sun, H. H. Chen, Y. C. Lee, D. Chen. 380-387 [doi]
• Bayesian Inference of Regular Grammar and Markov Source ModelsKurt R. Smith, Michael I. Miller. 388-395 [doi]
• Handwritten Digit Recognition with a Back-Propagation NetworkYann LeCun, Bernhard E. Boser, John S. Denker, Donnie Henderson, R. E. Howard, Wayne E. Hubbard, Lawrence D. Jackel. 396-404 [doi]
• Recognizing Hand-Printed Letters and DigitsGale Martin, James A. Pittman. 405-414 [doi]
• A Large-Scale Neural Network Which Recognizes Handwritten Kanji CharactersYoshihiro Mori, Kazuki Joe. 415-422 [doi]
• A Neural Network to Detect Homologies in ProteinsYoshua Bengio, Samy Bengio, Yannick Pouliot, Patrick Agin. 423-430 [doi]
• Rule Representations in a Connectionist ChunkerDavid S. Touretzky, Gillette Elvgreen III. 431-438 [doi]
• Discovering the Structure of a Reactive Environment by ExplorationMichael Mozer, Jonathan Bachrach. 439-446 [doi]
• Designing Application-Specific Neural Networks Using the Genetic AlgorithmSteven A. Harp, Tariq Samad, Aloke Guha. 447-454 [doi]
• Predicting Weather Using a Genetic Memory: A Combination of Kanerva s Sparse Distributed Memory with Holland s Genetic AlgorithmsDavid Rogers. 455-464 [doi]
• Neural Network VisualizationJakub Wejchert, Gerald Tesauro. 465-472 [doi]
• Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative LearningBartlett W. Mel, Christof Koch. 474-481 [doi]
• Algorithms for Better Representation and Faster Learning in Radial Basis Function NetworksAvijit Saha, James D. Keeler. 482-489 [doi]
• Learning in Higher-Order "Artificial Dendritic Trees"Tony Bell. 490-497 [doi]
• Adjoint Operator Algorithms for Faster Learning in Dynamical Neural NetworksJacob Barhen, Nikzad Benny Toomarian, Sandeep Gulati. 498-508 [doi]
• Discovering High Order Features with Mean Field ModulesConrad C. Galland, Geoffrey E. Hinton. 509-515 [doi]
• The CHIR Algorithm for Feed Forward Networks with Binary WeightsTal Grossman. 516-523 [doi]
• The Cascade-Correlation Learning ArchitectureScott E. Fahlman, Christian Lebiere. 524-532 [doi]
• Meiosis NetworksStephen Jose Hanson. 533-541 [doi]
• The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONNJohn Kassebaum, Manoel Fernando Tenorio, Christoph Schaefers. 542-549 [doi]
• Generalization and Scaling in Reinforcement LearningDavid H. Ackley, Michael L. Littman. 550-557 [doi]
• The "Moving Targets" Training AlgorithmRichard Rohwer. 558-565 [doi]
• Training Connectionist Networks with Queries and Selective SamplingLes E. Atlas, David A. Cohn, Richard E. Ladner. 566-573 [doi]
• Maximum Likelihood Competitive LearningSteven J. Nowlan. 574-582 [doi]
• Unsupervised Learning in Neurodynamics Using the Phase Velocity Field ApproachMichail Zak, Nikzad Benny Toomarian. 583-589 [doi]
• A Method for the Associative Storage of Analog VectorsAmir F. Atiya, Yaser S. Abu-Mostafa. 590-595 [doi]
• Optimal Brain DamageYann LeCun, John S. Denker, Sara A. Solla. 598-605 [doi]
• Asymptotic Convergence of Backpropagation: Numerical ExperimentsSubutai Ahmad, Gerald Tesauro, Yu He. 606-613 [doi]
• Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation ProblemSheri L. Gish, W. E. Blanz. 614-621 [doi]
• Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World ApplicationsLes E. Atlas, Ronald Coe, Jerome Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant Muthusamy, Etienne Barnard. 622-629 [doi]
• Generalization and Parameter Estimation in Feedforward Netws: Some ExperimentsNelson Morgan, Hervé Bourlard. 630-637 [doi]
• Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent NetworksDavid Zipser. 638-641 [doi]
• Dynamic Behavior of Constained Back-Propagation NetworksYves Chauvin. 642-649 [doi]
• Synergy of Clustering Multiple Back Propagation NetworksWilliam P. Lincoln, Josef Skrzypek. 650-657 [doi]
• Coupled Markov Random Fields and Mean Field TheoryDavi Geiger, Federico Girosi. 660-667 [doi]
• Complexity of Finite Precision Neural Network ClassifierAmir Dembo, Kai-Yeung Siu, Thomas Kailath. 668-675 [doi]
• The Perceptron Algorithm Is Fast for Non-Malicious DistributionsEric B. Baum. 676-685 [doi]
• Sequential Decision Probelms and Neural NetworksAndrew G. Barto, Richard S. Sutton, Christopher J. C. H. Watkins. 686-693 [doi]
• Analysis of Linsker s Simulations of Hebbian RulesDavid J. C. MacKay, Kenneth D. Miller. 694-701 [doi]
• Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold FunctionsZoran Obradovic, Ian Parberry. 702-709 [doi]
• Time Dependent Adaptive Neural NetworksFernando J. Pineda. 710-718 [doi]
• A Neural Network for Feature ExtractionNathan Intrator. 719-726 [doi]
• On the Distribution of the Number of Local Minima of a Random Function on a GraphPierre Baldi, Yosef Rinott, Charles Stein. 727-732 [doi]
• A Cost Function for Internal RepresentationsAnders Krogh, C. I. Thorbergsson, John A. Hertz. 733-740 [doi]
• An Analog VLSI Model of Adaptation in the Vestibulo-Ocular ReflexStephen P. DeWeerth, Carver Mead. 742-749 [doi]
• Real-Time Computer Vision and Robotics Using Analog VLSI CircuitsChristof Koch, Wyeth Bair, John G. Harris, Timothy K. Horiuchi, Andrew Hsu, Jin Luo. 750-757 [doi]
• A Reconfigurable Analog VLSI Neural Network ChipSrinagesh Satyanarayana, Yannis P. Tsividis, Hans Peter Graf. 758-768 [doi]
• Digital-Analog Hybrid Synapse Chips for Electronic Neural NetworksAlexander Moopenn, T. Duong, A. P. Thakoor. 769-776 [doi]
• Analog Circuits for Constrained OptimizationJohn C. Platt. 777-784 [doi]
• Pulse-Firing Neural Chips for Hundreds of NeuronsMichael Brownlow, Lionel Tarassenko, Alan F. Murray, Alister Hamilton, Il Song Han, H. Martin Reekie. 785-792 [doi]
• VLSI Implementation of a High-Capacity Neural Network Associative MemoryTzi-Dar Chiueh, Rodney M. Goodman. 793-800 [doi]
• An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2Xiru Zhang, Michael McKenna, Jill P. Mesirov, David L. Waltz. 801-809 [doi]
• Performance of Connectionist Learning Algorithms on 2-D SIMD Processor ArraysFernando J. Nuñez, José A. B. Fortes. 810-817 [doi]
• Dataflow Architectures: Flexible Platforms for Neural Network SimulationIra Smotroff. 818-825 [doi]
• Neural Networks: The Early DaysJack D. Cowan. 828-842 [doi]