NeCo 1994

78 papers

A Bayesian Analysis of Self-Organizing Maps Stephen P. Luttrell

A Convergence Result for Learning in Recurrent Neural Networks Chung-Ming Kuan, Kurt Hornik, Halbert White

A Dynamic Neural Network Architecture by Sequential Partitioning of the Input Space R. S. Shadafan, M. Niranjan

A Mechanism for Neuronal Gain Control by Descending Pathways Mark E. Nelson

A Neural Network for Coding of Trajectories by Time Series of Neuronal Population Vectors Alexander V. Lukashin, Apostolos P. Georgopoulos

A Novel Design Method for Multilayer Feedforward Neural Networks Jihong Lee

A Probabilistic Resource Allocating Network for Novelty Detection Stephen J. Roberts, Lionel Tarassenko

Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks K. P. Unnikrishnan, Kootala P. Venugopal

An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding Alain Destexhe, Zachary F. Mainen, Terrence J. Sejnowski

An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network Jean-Dominique Gascuel, Bahram Moobed, Michel Weinfeld

Analysis of the Effects of Noise on a Model for the Neural Mechanism of Short-Term Active Memory J. Devin McAuley, Joseph Stampfli

Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers Yoshifusa Ito

Bayesian Modeling and Classification of Neural Signals Michael S. Lewicki

Boosting and Other Ensemble Methods Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik

Comparison of Some Neural Network and Scattered Data Approximations: The Inverse Manipulator Kinematics Example Dimitry Gorinevsky, Thomas H. Connolly

Computational Aspects of the Respiratory Pattern Generator Allan Gottschalk, Malcolm D. Ogilvie, Diethelm W. Richter, Allan I. Pack

Computing Stereo Disparity and Motion with Known Binocular Cell Properties Ning Qian

Control of Chaos in Networks with Delay: A Model for Synchronization of Cortical Tissue Carlos Lourenço, Agnessa Babloyantz

Correlated Attractors from Uncorrelated Stimuli L. F. Cugliandolo

Cortical mAP Reorganization as a Competitive Process Granger G. Sutton Iii, James A. Reggia, Steven L. Armentrout, C. Lynne D'Autrechy

Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer

Design Principles of Columnar Organization in Visual Cortex Ernst Niebur, Florentin Wörgötter

Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistance to Local Minima William Finnoff

Dimension Reduction of Biological Neuron Models by Artificial Neural Networks Kenji Doya, Allen I. Selverston

Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised Learning Jean-Pierre Nadal, Néstor Parga

Dynamics of Discrete Time, Continuous State Hopfield Networks Pascal Koiran

Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model Venkatesh N. Murthy, Eberhard E. Fetz

Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation Geoffrey J. Goodhill, David J. Willshaw

Estimation of Network Parameters in Semiparametric Stochastic Perceptron Motoaki Kawanabe, Shun-ichi Amari

Fast Exact Multiplication by the Hessian Barak A. Pearlmutter

Finding the Embedding Dimension and Variable Dependencies in Time Series Hong Pi, Carsten Peterson

First-Order Recurrent Neural Networks and Deterministic Finite State Automata Peter Manolios, Robert Fanelli

Functionally Equivalent Feedforward Neural Networks Vera Kurková, Paul C. Kainen

Hierarchical Mixtures of Experts and the EM Algorithm Michael I. Jordan, Robert A. Jacobs

Influence Function Analysis of PCA and BCM Learning Yong Liu

Information Processing in Dendritic Trees Bartlett W. Mel

Integration and Differentiation in Dynamic Recurrent Neural Networks Edwin E. Munro, Larry E. Shupe, Eberhard E. Fetz

Learning in Boltzmann Trees Lawrence K. Saul, Michael I. Jordan

Learning in Neural Networks with Material Synapses Daniel J. Amit, Stefano Fusi

Learning of Phase Lags in Coupled Neural Oscillators Bard Ermentrout, Nancy Kopell

Loading Deep Networks Is Hard Jirí Síma

Measuring the VC-Dimension of a Learning Machine Vladimir Vapnik, Esther Levin, Yann LeCun

Model Based on Extracellular Potassium for Spontaneous Synchronous Activity in Developing Retinas Pierre-Yves Burgi, Norberto M. Grzywacz

Network Amplification of Local Fluctuations Causes High Spike Rate Variability, Fractal Firing Patterns and Oscillatory Local Field Potentials Marius Usher, Martin Stemmler, Christof Koch, Zeev Olami

Neural Nets with Superlinear VC-Dimension Wolfgang Maass

Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses Dean V. Buonomano, Michael D. Mauk

Neural Network Process Models Based on Linear Model Structures Gary M. Scott, W. Harmon Ray

Numerical Bifurcation Analysis of an Oscillatory Neural Network with Synchronous/Asynchronous Connections Yukio Hayashi

Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting Randall C. O'Reilly, Mark H. Johnson

On Functional Approximation with Normalized Gaussian Units Michel Benaïm

On Langevin Updating in Multilayer Perceptrons Thorsteinn S. Rögnvaldsson

On the Convergence of Stochastic Iterative Dynamic Programming Algorithms Tommi S. Jaakkola, Michael I. Jordan, Satinder P. Singh

Polyhedral Combinatorics and Neural Networks Andrew H. Gee, Richard W. Prager

Probabilistic Winner-Take-All Learning Algorithm for Radial-Basis-Function Neural Classifiers Hossam Osman, Moustafa M. Fahmy

Pruning from Adaptive Regularization Lars Kai Hansen, Carl Edward Rasmussen

Realization of the "Weak Rod" by a Double Layer Parallel Network Takashi Matsumoto, Kenji Kondo

Reduction of Conductance-Based Models with Slow Synapses to Neural Nets Bard Ermentrout

Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity Françoise Beaufays, Eric A. Wan

Segmentation by a Network of Oscillators with Stored Memories Haim Sompolinsky, Michail Tsodyks

Setting the Activity Level in Sparse Random Networks Ali A. Minai, William B. Levy

Simulations of Intrinsically Bursting Neocortical Pyramidal Neurons Paul A. Rhodes, Charles M. Gray

Smooth On-Line Learning Algorithms for Hidden Markov Models Pierre Baldi, Yves Chauvin

Stability of Oja's PCA Subspace Rule Juha Karhunen

Statistical Analysis of an Autoassociative Memory Network Alan M. N. Fu

Statistical Physics Algorithms That Converge Alan L. Yuille, J. J. Kosowsky

Statistical Physics, Mixtures of Distributions, and the EM Algorithm Alan L. Yuille, Paul E. Stolorz, Joachim Utans

Subharmonic Coordination in Networks of Neurons with Slow Conductances Thomas LoFaro, Nancy Kopell, Eve Marder, Scott L. Hooper

Supervised Training of Neural Networks via Ellipsoid Algorithms Man-Fung Cheung, Kevin M. Passino, Stephen Yurkovich

TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play Gerald Tesauro

The Effect of Synchronized Inputs at the Single Neuron Level Öjvind Bernander, Christof Koch, Marius Usher

The Functional Role of Excitatory and Inhibitory Interactions in Chopper Cells of the Anteroventral Cochlear Nucleus Ying-Cheng Lai, Raimond L. Winslow, Murray B. Sachs

The Role of Constraints in Hebbian Learning Kenneth D. Miller, David J. C. MacKay

The Role of Weight Normalization in Competitive Learning Geoffrey J. Goodhill, Harry G. Barrow

Theoretical Considerations for the Analysis of Population Coding in Motor Cortex Terence D. Sanger

Topology Learning Solved by Extended Objects: A Neural Network Model Csaba Szepesvári, László Balázs, András Lörincz

Toward a Theory of the Striate Cortex Zhaoping Li, Joseph J. Atick

What Is the Goal of Sensory Coding? David J. Field

Why Some Feedforward Networks Cannot Learn Some Polynomials N. Scott Cardell, Wayne H. Joerding, Ying Li