NeCo 1996

93 papers

A Comparison of Some Error Estimates for Neural Network Models Robert Tibshirani

A Large Committee Machine Learning Noisy Rules Robert Urbanczik

A Model of Spatial mAP Formation in the Hippocampus of the Rat K. I. Blum, L. F. Abbott

A Neural Model of Olfactory Sensory Memory in the Honeybee's Antennal Lobe Christiane Linster, Claudine Masson

A Nonlinear Hebbian Network That Learns to Detect Disparity in Random- Dot Stereograms C. W. Lee, Bruno A. Olshausen

A Novel Optimizing Network Architecture with Applications Anand Rangarajan, Steven Gold, Eric Mjolsness

A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari

A Recurrent Network Implementation of Time Series Classification Vassilios Petridis, Athanasios Kehagias

A Self-Organizing Model of "Color Blob" Formation Harry G. Barrow, Alistair J. Bray, Julian M. L. Budd

A Self-Organizing Neural Network for the Traveling Salesman Problem That Is Competitive with Simulated Annealing Marco Budinich

A Short Proof of the Posterior Probability Property of Classifier Neural Networks Raúl Rojas

A Simple Spike Train Decoder Inspired by the Sampling Theorem D. A. August, William B. Levy

A Smoothing Regularizer for Feedforward and Recurrent Neural Networks Lizhong Wu, John E. Moody

A Spherical Basis Function Neural Network for Modeling Auditory Space Rick L. Jenison, Kate Fissell

A Theoretical and Experimental Account of N-Tuple Classifier Performance Richard Rohwer, Michal Morciniec

A Theory of the Visual Motion Coding in the Primary Visual Cortex Zhaoping Li

Alignment of Coexisting Cortical Maps in a Motor Control Model Yinong Chen, James A. Reggia

Analog Versus Discrete Neural Networks Bhaskar DasGupta, Georg Schnitger

Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert Müller

Associative Memory with Uncorrelated Inputs Ronald Michaels

Autonomous Design of Artificial Neural Networks by Neurex François Michaud, Rubén González-Rubio

Binary-Oscillator Networks: Bridging a Gap Between Experimental and Abstract Modeling of Neural Networks Wei-Ping Wang

Binocular Receptive Field Models, Disparity Tuning, and Characteristic Disparity Yu-Dong Zhu, Ning Qian

Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm Randall C. O'Reilly

Circular Nodes in Neural Networks Michael J. Kirby, Rick Miranda

Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons with Random Threshold Fabrizio Gabbiani, Christof Koch

Controlling the Magnification Factor of Self-Organizing Feature Maps Hans-Ulrich Bauer, Ralf Der, Michael Herrmann

Coupling the Neural and Physical Dynamics in Rhythmic Movements Nicholas G. Hatsopoulos

Diagrammatic Derivation of Gradient Algorithms for Neural Networks Eric A. Wan, Françoise Beaufays

Directional Filling-in Karl Frederick Arrington

Does Extra Knowledge Necessarily Improve Generalization? David Barber, David Saad

Effect of Binocular Cortical Misalignment on Ocular Dominance and Orientation Selectivity Harel Z. Shouval, Nathan Intrator, C. Charles Law, Leon N. Cooper

Effects of Nonlinear Synapses on the Performance of Multilayer Neural Networks Günhan Dündar, F.-C. Hsu, K. Rose

Encoding with Bursting, Subthreshold Oscillations, and Noise in Mammalian Cold Receptors André Longtin, Karin Hinzer

Energy Efficient Neural Codes William B. Levy, Rohan A. Baxter

Engineering Multiversion Neural-Net Systems Derek Partridge, William B. Yates

Equivalence of Linear Boltzmann Chains and Hidden Markov Models David J. C. MacKay

Functional Consequences of an Integration of Motion and Stereopsis in Area MT of Monkey Extrastriate Visual Cortex Markus Lappe

Gradient Projection Network: Analog Solver for Linearly Constrained Nonlinear Programming Kiichi Urahama

Hebbian Learning of Context in Recurrent Neural Networks Nicolas Brunel

Hierarchical, Unsupervised Learning with Growing via Phase Transitions David J. Miller, Kenneth Rose

How Dependencies Between Successive Examples Affect On-Line Learning Wim Wiegerinck, Tom Heskes

Hybrid Modeling, HMM/NN Architectures, and Protein Applications Pierre Baldi, Yves Chauvin

Learning and Generalization in Cascade Network Architectures Enno Littmann, Helge J. Ritter

Learning Perceptually Salient Visual Parameters Using Spatiotemporal Smoothness Constraints James V. Stone

Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures Steven Gold, Anand Rangarajan, Eric Mjolsness

Lower Bounds for the Computational Power of Networks of Spiking Neurons Wolfgang Maass

Minimum Description Length, Regularization, and Multimodal Data Richard Rohwer, John C. Van der Rest

Modeling Conditional Probability Distributions for Periodic Variables Christopher M. Bishop, Ian T. Nabney

Modeling Slowly Bursting Neurons via Calcium Store and Voltage-Independent Calcium Current Teresa Ree Chay

Neural Correlation via Random Connections Joshua Chover

Neural Network for Dynamic Binding with Graph Representation: Form, Linking, and Depth-from-Occlusion James R. Williamson

Neural Network Models of Perceptual Learning of Angle Discrimination Germán Mato, Haim Sompolinsky

Neural Networks for Optimal Approximation of Smooth and Analytic Functions Hrushikesh N. Mhaskar

Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease David Horn, Nir Levy, Eytan Ruppin

No Free Lunch for Cross-Validation Huaiyu Zhu, Richard Rohwer

Note on the Maxnet Dynamics J. P. F. Sum, Peter Kwong-Shun Tam

On Convergence Properties of the EM Algorithm for Gaussian Mixtures Lei Xu, Michael I. Jordan

On Neurodynamics with Limiter Function and Linsker's Developmental Model Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury

On the Capacity of Threshold Adalines with Limited-Precision Weights Maryhelen Stevenson, Shaheedul Huq

On the Relationship Between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions Partha Niyogi, Federico Girosi

Online Steepest Descent Yields Weights with Nonnormal Limiting Distribution Sayandev Mukherjee, Terrence L. Fine

Optimizing Synaptic Conductance Calculation for Network Simulations William W. Lytton

Parameter Extraction from Population Codes: A Critical Assessment Herman P. Snippe

Predictive Minimum Description Length Criterion for Time Series Modeling with Neural Networks Mikko Lehtokangas, Jukka Saarinen, Pentti Huuhtanen, Kimmo Kaski

Pruning with Replacement on Limited Resource Allocating Networks by F-Projections Christophe Molina, Mahesan Niranjan

Rate of Convergence in Density Estimation Using Neural Networks Dharmendra S. Modha, Elias Masry

Response Characteristics of a Low-Dimensional Model Neuron Bo Cartling

Semilinear Predictability Minimization Produces Well-Known Feature Detectors Jürgen Schmidhuber, Martin Eldracher, Bernhard Foltin

Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales Anke Meyer-Bäse, Frank W. Ohl, Henning Scheich

Spike Train Processing by a Silicon Neuromorph: The Role of Sublinear Summation in Dendrites David P. M. Northmore, John G. Elias

Stable Encoding of Large Finite-State Automata in Recurrent Neural Networks with Sigmoid Discriminants Christian W. Omlin, C. Lee Giles

Statistical Approach to Shape from Shading: Reconstruction of Three-Dimensional Face Surfaces from Single Two-Dimensional Images Joseph J. Atick, Paul A. Griffin, A. Norman Redlich

Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps Lucas C. Parra, Gustavo Deco, Stefan Miesbach

Synchronized Action of Synaptically Coupled Chaotic Model Neurons Henry D. I. Abarbanel, Ramón Huerta, Mikhail I. Rabinovich, Nikolai F. Rulkov, Peter F. Rowat, Allen I. Selverston

Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey Wyeth Bair, Christof Koch

Temporal Segmentation in a Neural Dynamic System David Horn, Irit Opher

The Computational Power of Discrete Hopfield Nets with Hidden Units Pekka Orponen

The Dynamics of Discrete-Time Computation, with Application to Recurrent Neural Networks and Finite State Machine Extraction Mike Casey

The Effects of Adding Noise During Backpropagation Training on a Generalization Performance Guozhong An

The Error Surface of the Simplest XOR Network Has Only Global Minima Ida G. Sprinkhuizen-Kuyper, Egbert J. W. Boers

The Existence of a Priori Distinctions Between Learning Algorithms David H. Wolpert

The Interchangeability of Learning Rate and Gain in Backpropagation Neural Networks Georg Thimm, Perry Moerland, Emile Fiesler

The Lack of a Priori Distinctions Between Learning Algorithms David H. Wolpert

The VC Dimension and Pseudodimension of Two-Layer Neural Networks with Discrete Inputs Peter L. Bartlett, Robert C. Williamson

Type I Membranes, Phase Resetting Curves, and Synchrony Bard Ermentrout

Unicycling Helps Your French: Spontaneous Recovery of Associations by Learning Unrelated Tasks Inman Harvey, James V. Stone

Using Bottlenecks in Feedforward Networks as a Dimension Reduction Technique: An Application to Optimization Tasks Janet Wiles, Paul Bakker, Adam Lynton, Michael Norris, Sean Parkinson, Mark Staples, Alan Whiteside

Using Neural Networks to Model Conditional Multivariate Densities Peter M. Williams

Using Visual Latencies to Improve Image Segmentation Ralf Opara, Florentin Wörgötter

Vapnik-Chervonenkis Generalization Bounds for Real Valued Neural Networks Arne Hole

VC Dimension of an Integrate-and-Fire Neuron Model Anthony M. Zador, Barak A. Pearlmutter

What Matters in Neuronal Locking? Wulfram Gerstner, J. Leo van Hemmen, Jack D. Cowan