Conferences in DBLP
James A. Simmons Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:2-9 [Conf ] Clay Spence , John C. Pearson The Computation of Sound Source Evaluation in the Barn Owl. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:10-17 [Conf ] Ronald M. Harris-Warrick Mechanisms for Neuromodulation of Biological Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:18-27 [Conf ] Shawn R. Lockery , Yan Fang , Terrence J. Sejnowski Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:28-35 [Conf ] William Bialek , Fred Rieke , Robert R. de Ruyter van Steveninck , David Warland Reading a Neural Code. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:36-43 [Conf ] Randall D. Beer , Hillel J. Chiel Neural Implementation of Motivated Behavior: Feeding in an Artificial Insect. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:44-51 [Conf ] Kamil A. Grajski , Michael Merzenich Neural Network Simulation of Somatosensory Representational Plasticity. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:52-59 [Conf ] Mark E. Nelson , James M. Bower Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps? [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:60-67 [Conf ] Bill Baird Associative Memory in a Simple Model of Oscillating Cortex. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:68-75 [Conf ] Daniel M. Kammen , Christof Koch , Philip J. Holmes Collective Oscillations in the Visual Cortex. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:76-83 [Conf ] Matthew A. Wilson , James M. Bower Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:84-91 [Conf ] Jack D. Cowan , A. E. Friedman Development and Regeneration of Eye-Brain Maps: A Computational Model. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:92-99 [Conf ] David Servan-Schreiber , Harry Printz , Jonathan D. Cohen The Effect of Catecholamines on Performance: From Unit to System Behavior. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:100-108 [Conf ] Michael C. Crair , William Bialek Non-Boltzmann Dynamics in Networks of Spiking Neurons. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:109-116 [Conf ] Maurice Lee , James M. Bower A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:117-124 [Conf ] William R. Softky , Daniel M. Kammen Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:125-132 [Conf ] Alex Chernajvsky , John E. Moody Note on Development of Modularity in Simple Cortical Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:133-140 [Conf ] G. T. Kenyon , Eberhard E. Fetz , R. D. Puff Effects of Firing Synchrony on Signal Propagation in Layered Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:141-148 [Conf ] Paul C. Rhodes A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:149-159 [Conf ] Dun-Sung Tang Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:160-165 [Conf ] Yuchun Lee , Richard Lippmann Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:168-177 [Conf ] Kevin J. Lang , Geoffrey E. Hinton Dimensionality Reduction and Prior Knowledge in E-Set Recognition. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:178-185 [Conf ] Hervé Bourlard , Nelson Morgan A Continuous Speech Recognition System Embedding MLP into HMM. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:186-193 [Conf ] William Y. Huang , Richard Lippmann HMM Speech Recognition with Neural Net Discrimination. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:194-202 [Conf ] John B. Hampshire II , Alex Waibel Connectionist Architectures for Multi-Speaker Phoneme Recognition. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:203-210 [Conf ] John S. Bridle Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:211-217 [Conf ] Yoshua Bengio , Renato de Mori , Régis Cardin Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:218-225 [Conf ] Jim Mann The Effects of Circuit Integration on a Feature Map Vector Quantizer. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:226-231 [Conf ] Terrence J. Sejnowski , B. Yuhas , Moise H. Goldstein Jr. , R. E. Jenkins Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:232-239 [Conf ] Susan Ciarrocca Lee Using a Translation-Invariant Neural Network to Diagnose Heart Arrhythmia. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:240-247 [Conf ] Donald B. Malkoff A Neural Network for Real-Time Signal Processing. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:248-255 [Conf ] Michael Seibert , Allen M. Waxman Learning Aspect Graph Representations from View Sequences. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:258-265 [Conf ] Richard S. Zemel , Michael Mozer , Geoffrey E. Hinton TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:266-273 [Conf ] Daphna Weinshall , Shimon Edelman , Heinrich H. Bülthoff A Self-Organizing Multiple-View Representations of 3D Objects. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:274-281 [Conf ] Pentti Kanerva Contour-Map Encoding of Shape for Early Vision. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:282-289 [Conf ] Paul A. Viola Neurally Inspired Plasticity in Oculomotor Processes. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:290-297 [Conf ] Toshiaki Okamoto , Mitsuo Kawato , Toshio Inui , Sei Miyake Model Based Image Compression and Adaptive Data Representaion by Interacting Filter Banks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:298-305 [Conf ] Jim Donnett , Tim Smithers Neuronal Group Selection Theory: A Grounding in Robotics. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:308-315 [Conf ] Christopher G. Atkeson Using Local Models to Control Movement. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:316-323 [Conf ] Michael I. Jordan , Robert A. Jacobs Learning to Control an Unstable System with Forward Modeling. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:324-331 [Conf ] Michael Hormel A Self-organizing Associative Memory System for Control Applications. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:332-339 [Conf ] Michael J. Carter , Franklin J. Rudolph , Adam J. Nucci Operational Fault Tolerance of CMAC Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:340-347 [Conf ] O. Farotimi , Amir Dembo , Thomas Kailath Neural Network Weight Matrix Synthesis Using Optimal Control Techniques. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:348-354 [Conf ] Gintaras V. Reklaitis , Athanasios G. Tsirukis , Manoel Fernando Tenorio Generalized Hopfield Networks and Nonlinear Optimization. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:355-362 [Conf ] Ajay N. Jain , Alex Waibel Incremental Parsing by Modular Recurrent Connectionist Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:364-371 [Conf ] David S. Touretzky , Deirdre W. Wheeler A Computational Basis for Phonology. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:372-379 [Conf ] C. Lee Giles , Guo-Zheng Sun , H. H. Chen , Y. C. Lee , D. Chen Higher Order Recurrent Networks and Grammatical Inference. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:380-387 [Conf ] Kurt R. Smith , Michael I. Miller Bayesian Inference of Regular Grammar and Markov Source Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:388-395 [Conf ] Yann LeCun , Bernhard E. Boser , John S. Denker , Donnie Henderson , R. E. Howard , Wayne E. Hubbard , Lawrence D. Jackel Handwritten Digit Recognition with a Back-Propagation Network. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:396-404 [Conf ] Gale Martin , James A. Pittman Recognizing Hand-Printed Letters and Digits. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:405-414 [Conf ] Yoshihiro Mori , Kazuki Joe A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:415-422 [Conf ] Yoshua Bengio , Samy Bengio , Yannick Pouliot , Patrick Agin A Neural Network to Detect Homologies in Proteins. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:423-430 [Conf ] David S. Touretzky , Gillette Elvgreen III Rule Representations in a Connectionist Chunker. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:431-438 [Conf ] Michael Mozer , Jonathan Bachrach Discovering the Structure of a Reactive Environment by Exploration. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:439-446 [Conf ] Steven A. Harp , Tariq Samad , Aloke Guha Designing Application-Specific Neural Networks Using the Genetic Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:447-454 [Conf ] David Rogers Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:455-464 [Conf ] Jakub Wejchert , Gerald Tesauro Neural Network Visualization. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:465-472 [Conf ] Bartlett W. Mel , Christof Koch Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:474-481 [Conf ] Avijit Saha , James D. Keeler Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:482-489 [Conf ] Tony Bell Learning in Higher-Order "Artificial Dendritic Trees". [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:490-497 [Conf ] Jacob Barhen , Nikzad Benny Toomarian , Sandeep Gulati Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:498-508 [Conf ] Conrad C. Galland , Geoffrey E. Hinton Discovering High Order Features with Mean Field Modules. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:509-515 [Conf ] Tal Grossman The CHIR Algorithm for Feed Forward Networks with Binary Weights. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:516-523 [Conf ] Scott E. Fahlman , Christian Lebiere The Cascade-Correlation Learning Architecture. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:524-532 [Conf ] Stephen Jose Hanson Meiosis Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:533-541 [Conf ] John Kassebaum , Manoel Fernando Tenorio , Christoph Schaefers The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:542-549 [Conf ] David H. Ackley , Michael L. Littman Generalization and Scaling in Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:550-557 [Conf ] Richard Rohwer The "Moving Targets" Training Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:558-565 [Conf ] Les E. Atlas , David A. Cohn , Richard E. Ladner Training Connectionist Networks with Queries and Selective Sampling. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:566-573 [Conf ] Steven J. Nowlan Maximum Likelihood Competitive Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:574-582 [Conf ] Michail Zak , Nikzad Benny Toomarian Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:583-589 [Conf ] Amir F. Atiya , Yaser S. Abu-Mostafa A Method for the Associative Storage of Analog Vectors. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:590-595 [Conf ] Yann LeCun , John S. Denker , Sara A. Solla Optimal Brain Damage. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:598-605 [Conf ] Subutai Ahmad , Gerald Tesauro , Yu He Asymptotic Convergence of Backpropagation: Numerical Experiments. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:606-613 [Conf ] Sheri L. Gish , W. E. Blanz Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:614-621 [Conf ] Les E. Atlas , Ronald Coe , Jerome Connor , Mohamed A. El-Sharkawi , Robert J. Marks II , Yeshwant Muthusamy , Etienne Barnard Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:622-629 [Conf ] Nelson Morgan , Hervé Bourlard Generalization and Parameter Estimation in Feedforward Netws: Some Experiments. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:630-637 [Conf ] David Zipser Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:638-641 [Conf ] Yves Chauvin Dynamic Behavior of Constained Back-Propagation Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:642-649 [Conf ] William P. Lincoln , Josef Skrzypek Synergy of Clustering Multiple Back Propagation Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:650-657 [Conf ] Davi Geiger , Federico Girosi Coupled Markov Random Fields and Mean Field Theory. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:660-667 [Conf ] Amir Dembo , Kai-Yeung Siu , Thomas Kailath Complexity of Finite Precision Neural Network Classifier. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:668-675 [Conf ] Eric B. Baum The Perceptron Algorithm Is Fast for Non-Malicious Distributions. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:676-685 [Conf ] Andrew G. Barto , Richard S. Sutton , Christopher J. C. H. Watkins Sequential Decision Probelms and Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:686-693 [Conf ] David J. C. MacKay , Kenneth D. Miller Analysis of Linsker's Simulations of Hebbian Rules. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:694-701 [Conf ] Zoran Obradovic , Ian Parberry Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:702-709 [Conf ] Fernando J. Pineda Time Dependent Adaptive Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:710-718 [Conf ] Nathan Intrator A Neural Network for Feature Extraction. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:719-726 [Conf ] Pierre Baldi , Yosef Rinott , Charles Stein On the Distribution of the Number of Local Minima of a Random Function on a Graph. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:727-732 [Conf ] Anders Krogh , C. I. Thorbergsson , John A. Hertz A Cost Function for Internal Representations. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:733-740 [Conf ] Stephen P. DeWeerth , Carver Mead An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:742-749 [Conf ] Christof Koch , Wyeth Bair , John G. Harris , Timothy K. Horiuchi , Andrew Hsu , Jin Luo Real-Time Computer Vision and Robotics Using Analog VLSI Circuits. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:750-757 [Conf ] Srinagesh Satyanarayana , Yannis P. Tsividis , Hans Peter Graf A Reconfigurable Analog VLSI Neural Network Chip. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:758-768 [Conf ] Alexander Moopenn , T. Duong , A. P. Thakoor Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:769-776 [Conf ] John C. Platt Analog Circuits for Constrained Optimization. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:777-784 [Conf ] Michael Brownlow , Lionel Tarassenko , Alan F. Murray , Alister Hamilton , Il Song Han , H. Martin Reekie Pulse-Firing Neural Chips for Hundreds of Neurons. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:785-792 [Conf ] Tzi-Dar Chiueh , Rodney M. Goodman VLSI Implementation of a High-Capacity Neural Network Associative Memory. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:793-800 [Conf ] Xiru Zhang , Michael McKenna , Jill P. Mesirov , David L. Waltz An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:801-809 [Conf ] Fernando J. Nuñez , José A. B. Fortes Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:810-817 [Conf ] Ira Smotroff Dataflow Architectures: Flexible Platforms for Neural Network Simulation. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:818-825 [Conf ] Jack D. Cowan Neural Networks: The Early Days. [Citation Graph (0, 0)][DBLP ] NIPS, 1989, pp:828-842 [Conf ]