|
|
NIPS*1989
|
| Title Pages [ps][pdf][djvu] Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images James A. Simmons (Invited Talk) [ps][pdf][djvu] The Computation of Sound Source Elevation in the Barn Owl Clay D. Spence and John C. Pearson [ps][pdf][djvu] Mechanisms for Neuromodulation of Biological Neural Networks Ronald M. Harris-Warrick [ps][pdf][djvu] Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech Shawn R. Lockery, Yan Fang and Terrence J. Sejnowski [ps][pdf][djvu] Reading a Neural Code William Bialek, Fred Rieke, R. R. de Ruyter van Steveninck and David Warland [ps][pdf][djvu] Neural Implementation of Motivated Behavior: Feeding in an Artificial Insect Randall D. Beer and Hillel J. Chiel [ps][pdf][djvu] Neural Network Simulation of Somatosensory Representational Plasticity Kamil A. Grajski and Michael M. Merzenich [ps][pdf][djvu] Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps? Mark E. Nelson and James M. Bower [ps][pdf][djvu] Associative Memory in a Simple Model of Oscillating Cortex Bill Baird [ps][pdf][djvu] Collective Oscillations in the Visual Cortex Daniel Kammen, Christof Koch and Philip J. Holmes [ps][pdf][djvu] Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks Matthew A. Wilson and James M. Bower [ps][pdf][djvu] Development and Regeneration of Eye-Brain Maps: A Computational Model J.D. Cowan and A.E. Friedman [ps][pdf][djvu] The Effect of Catecholamines on Performance: From Unit to System Behavior David Servan-Schreiber, Harry Printz and Jonathan D. Cohen [ps][pdf][djvu] Non-Boltzmann Dynamics in Networks of Spiking Neurons Michael C. Crair and William Bialek [ps][pdf][djvu] A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats Maurice Lee and James M. Bower [ps][pdf][djvu] Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment William R. Softky and Daniel M. Kammen [ps][pdf][djvu] Note on Development of Modularity in Simple Cortical Models Alex Chernjavsky and John Moody [ps][pdf][djvu] Effects of Firing Synchrony on Signal Propagation in Layered Networks G.T. Kenyon, E.E. Fetz and R.D. Puff [ps][pdf][djvu] A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes Paul Rhodes [ps][pdf][djvu] Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net D.S. Tang [ps][pdf][djvu] Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems Yuchun Lee and Richard P. Lippmann [ps][pdf][djvu] Dimensionality Reduction and Prior Knowledge in E-Set Recognition Kevin J. Lang and Geoffrey E. Hinton [ps][pdf][djvu] A Continuous Speech Recognition System Embedding MLP into HMM Herve Bourlard and Nelson Morgan [ps][pdf][djvu] HMM Speech Recognition with Neural Net Discrimination William Y. Huang and Richard P. Lippmann [ps][pdf][djvu] Connectionist Architectures for Multi-Speaker Phoneme Recognition John B. Hampshire II and Alex Waibel [ps][pdf][djvu] Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters John S. Bridle [ps][pdf][djvu] Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge Yoshua Bengio, Renato De Mori and Regis Cardin [ps][pdf][djvu] The Effects of Circuit Integration on a Feature Map Vector Quantizer Jim Mann [ps][pdf][djvu] Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility T.J. Sejnowski, B.P. Yuhas, M.H. Goldstein, Jr. and R.E. Jenkins [ps][pdf][djvu] Using A Translation-Invariant Neural Network to Diagnose Heart Arrhythmia Susan Ciarrocca Lee [ps][pdf][djvu] A Neural Network for Real-Time Signal Processing Donald B. Malkoff [ps][pdf][djvu] Learning Aspect Graph Representations from View Sequences Michael Seibert and Allen M. Waxman [ps][pdf][djvu] TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations Richard S. Zemel, Michael C. Mozer and Geoffrey E. Hinton [ps][pdf][djvu] A Self-Organizing Multiple-View Representation of 3D Objects Daphna Weinshall, Shimon Edelman and Heinrich H. Bulthoff [ps][pdf][djvu] Contour-Map Encoding of Shape for Early Vision Pentri Kanerva [ps][pdf][djvu] Neurally Inspired Plasticity in Oculomotor Processes PaulA. Viola [ps][pdf][djvu] Model Based Image Compression and Adaptive Data Representation by Interacting Filter Banks Toshiaki Okamoto, Mitsuo Kawato, Toshio Inui and Sei Miyake [ps][pdf][djvu] Neuronal Group Selection Theory: A Grounding in Robotics Jim Donnett and Tim Smithers [ps][pdf][djvu] Using Local Models to Control Movement Christopher G. Atkeson [ps][pdf][djvu] Learning to Control an Unstable System with Forward Modeling Michael I. Jordan and Robert A. Jacobs [ps][pdf][djvu] A Self-organizing Associative Memory System for Control Applications Michael Hormel [ps][pdf][djvu] Operational Fault Tolerance of CMAC Networks Michael J. Carter, Franklin J. Rudolph and Adam J. Nucci [ps][pdf][djvu] Neural Network Weight Matrix Synthesis Using Optimal Control Techniques O. Farotimi, A. Dembo and T. Kailath [ps][pdf][djvu] Generalized Hopfield Networks and Nonlinear Optimization Gintaras V. Reklaitis, Athanasios G. Tsirukis and Manoel F. Tenorio [ps][pdf][djvu] Incremental Parsing by Modular Recurrent Connectionist Networks Ajay N. Jain and Alex H. Waibel [ps][pdf][djvu] A Computational Basis for Phonology David S. Touretzky and Deirdre W. Wheeler [ps][pdf][djvu] Higher Order Recurrent Networks and Grammatical Inference C.L. Giles, G.Z. Sun, H.H. Chen, Y.C. Lee and D. Chen [ps][pdf][djvu] Bayesian Inference of Regular Grammar and Markov Source Models Kurt R. Smith and Michael I. Miller [ps][pdf][djvu] Handwritten Digit Recognition with a Back-Propagation Network Y. Le Cun, B. Boser, J.S. Denker, D. Henderson, R.E. Howard, W. Hubbard and L.D. Jackel [ps][pdf][djvu] Recognizing Hand-Printed Letters and Digits Gale L. Martin and James A. Pittman [ps][pdf][djvu] A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters Yoshihiro Mori and Kazuki Joe [ps][pdf][djvu] A Neural Network to Detect Homologies in Proteins Yoshua Bengio, Samy Bengio, Yannick Pouliot and Patrick Agin [ps][pdf][djvu] Rule Representations in a Connectionist Chunker David S. Touretzky and Gillette Elvgren III [ps][pdf][djvu] Discovering the Structure of a Reactive Environment by Exploration Michael C. Mozer and Jonathan Bachrach [ps][pdf][djvu] Designing Application-Specific Neural Networks Using the Genetic Algorithm Steven A. Harp, Tang Samad and Aloke Guha [ps][pdf][djvu] Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms David Rogers [ps][pdf][djvu] Neural Network Visualization Jakub Wejchert and Gerald Tesauro [ps][pdf][djvu] Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning Bartlett W. Mel and Christof Koch [ps][pdf][djvu] Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks Avijit Saha and James D. Keeler [ps][pdf][djvu] Learning in Higher-Order 'Artificial Dendritic Trees' Tony Bell [ps][pdf][djvu] Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks Jacob Barhen, Nikzad Toomarian and Sandeep Gulati [ps][pdf][djvu] Discovering High Order Features with Mean Field Modules Conrad C. Galland and Geoffrey E. Hinton [ps][pdf][djvu] The CHIR Algorithm for Feed Forward Networks with Binary Weights Tal Grossman [ps][pdf][djvu] The Cascade-Correlation Learning Architecture Scott E. Fahlman and Christian Lebiere [ps][pdf][djvu] Meiosis Networks Stephen Jose Hanson [ps][pdf][djvu] The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN John Kassebaum, Manoel Fernando Tenorio and Christoph Schaefers [ps][pdf][djvu] Generalization and Scaling in Reinforcement Learning David H. Ackley and Michael L. Littman [ps][pdf][djvu] The 'Moving Targets' Training Algorithm Richard Rohwer [ps][pdf][djvu] Training Connectionist Networks with Queries and Selective Sampling Les Atlas, David Cohn and Richard Ladner [ps][pdf][djvu] Maximum Likelihood Competitive Learning Steven J. Nowlan [ps][pdf][djvu] Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach Michail Zak and Nikzad Toomarian [ps][pdf][djvu] A Method for the Associative Storage of Analog Vectors Amir Atiya and Yaser Abu-Mostafa [ps][pdf][djvu] Optimal Brain Damage Yann Le Cun, John S. Denker and Sara A. Solla [ps][pdf][djvu] Asymptotic Convergence of Backpropagation: Numerical Experiments Subutai Ahmad, Gerald Tesauro and Yu He [ps][pdf][djvu] Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem Sheri L. Gish and W.E. Blanz [ps][pdf][djvu] Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications Les Atlas, Ronald Cole, Jerome Connor, Mohamed El-Sharkawi, Robert J. Marks II, Yeshwant Muthusamy and Etienne Barnard [ps][pdf][djvu] Generalization and Parameter Estimation in Feedforward Nets: Some Experiments N. Morgan and H. Bourlard [ps][pdf][djvu] Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks David Zipser [ps][pdf][djvu] Dynamic Behavior of Constrained Back-Propagation Networks Yves Chauvin [ps][pdf][djvu] Synergy of Clustering Multiple Back Propagation Networks William P. Lincoln and Josef Skrzypek [ps][pdf][djvu] Coupled Markov Random Fields and Mean Field Theory Davi Geiger and Federico Girosi [ps][pdf][djvu] Complexity of Finite Precision Neural Network Classifier Amir Dembo, Kai-Yeung Siu and Thomas Kailath [ps][pdf][djvu] The Perceptron Algorithm Is Fast for Non-Malicious Distributions Eric B. Baum [ps][pdf][djvu] Sequential Decision Problems and Neural Networks A.G. Barto, R.S. Sutton and C.J.C.H. Watkins [ps][pdf][djvu] Analysis of Linsker's Simulations of Hebbian Rules David J.C. MacKay and Kenneth D. Miller [ps][pdf][djvu] Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions Zoran Obradovic and Ian Parberry [ps][pdf][djvu] Time Dependent Adaptive Neural Networks Fernando J. Pineda [ps][pdf][djvu] A Neural Network for Feature Extraction Nathan Intrator [ps][pdf][djvu] On the Distribution of the Number of Local Minima of a Random Function on a Graph Pierre Baldi, Yosef Rinott and Charles Stein [ps][pdf][djvu] A Cost Function for Internal Representations Anders Krogh, C.J. Thorbergsson and John A. Hertz [ps][pdf][djvu] An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex Stephen P. DeWeerth and Carver A. Mead [ps][pdf][djvu] Real-Time Computer Vision and Robotics Using Analog VLSI Circuits Christof Koch, Wyeth Bair, John G. Harris, Timothy Horiuchi, Andrew Hsu and Jin Luo [ps][pdf][djvu] A Reconfigurable Analog VLSI Neural Network Chip Srinagesh Satyanarayana, Yannis Tsividis and Hans Peter Graf [ps][pdf][djvu] Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks A. Moopenn, T. Duong and A.P. Thakoor [ps][pdf][djvu] Analog Circuits for Constrained Optimization John C. Platt [ps][pdf][djvu] Pulse-Firing Neural Chips for Hundreds of Neurons Michael Brownlow, Lionel Tarassenko, Alan F. Murray, Alister Hamilton, Il Song Han and H. Martin Reekie [ps][pdf][djvu] VLSI Implementation of a High-Capacity Neural Network Associative Memory Tzi-Dar Chiueh and Rodney M. Goodman [ps][pdf][djvu] An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2 Xiru Zhang, Michael Mckenna, Jill P. Mesirov and David L. Waltz [ps][pdf][djvu] Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays Fernando J. Nunez and Jose A.B. Fortes [ps][pdf][djvu] Dataflow Architectures: Flexible Platforms for Neural Network Simulation Ira G. Smotroff [ps][pdf][djvu] Neural Networks: The Early Days J.D. Cowan [ps][pdf][djvu] Subject Index [ps][pdf][djvu] Author Index [ps][pdf][djvu] |