NeCo 1999

95 papers

A Cerebellar Model of Timing and Prediction in the Control of Reaching Andrew G. Barto, Andrew H. Fagg, Nathan Sitkoff, James C. Houk

A Computational Model for Visual Selection Yali Amit, Donald Geman

A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates Wei Wei, Todd K. Leen, Etienne Barnard

A Fast, Compact Approximation of the Exponential Function Nicol N. Schraudolph

A Neural Network Modell of Temporal Code Generation and Position Invariant Pattern Recognition Dean V. Buonomano, Michael Merzenich

A Parallel Noise-Robust Algorithm to Recover Depth Information from Radial Flow Fields Florentin Wörgötter, Alex Cozzi, V. Gerdes

A Reinforcement Learning Approach to Online Clustering Aristidis Likas

A Stochastic Self-Organizing mAP for Proximity Data Thore Graepel, Klaus Obermayer

A Unified Analysis of Value-Function-Based Reinforcement Learning Algorithms Csaba Szepesvári, Michael L. Littman

A Unifying Review of Linear Gaussian Models Sam T. Roweis, Zoubin Ghahramani

Adaptive Calibration of Imaging Array Detectors Marco Budinich, Renato Frison

Adaptive Neural Coding Dependent on the Time-Varying Statistics of the Somatic Input Current Jonghan Shin, Christof Koch, Rodney J. Douglas

Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out Cross-Validation Michael J. Kearns, Dana Ron

An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment John Sum, Andrew Chi-Sing Leung, Gilbert H. Young, Lai-Wan Chan, Wing-Kay Kan

An On-Line Agglomerative Clustering Method for Non-Stationary Data Isaac David Guedalia, Mickey London, Michael Werman

Analog Neural Nets with Gaussian or Other Common Noise Distribution Cannot Recognize Arbitrary Regular Languages Wolfgang Maass, Eduardo D. Sontag

Analog VLSI-Based Modeling of the Primate Oculomotor System Timothy K. Horiuchi, Christof Koch

Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output Anthony N. Burkitt, Graeme M. Clark

Associative Memory in a Multimodular Network Nir Levy, David Horn, Eytan Ruppin

Backward Projections in the Cerebral Cortex: Implications for Memory Storage Alfonso Renart, Néstor Parga, Edmund T. Rolls

Blind Separation of a Mixture of Uniformly Distributed Source Signals: A Novel Approach Jayanta Basak, Shun-ichi Amari

Boosted Mixture of Experts: An Ensemble Learning Scheme Ran Avnimelech, Nathan Intrator

Boosting Regression Estimators Ran Avnimelech, Nathan Intrator

Can Hebbian Volume Learning Explain Discontinuities in Cortical Maps? Graeme J. Mitchison, Nicholas V. Swindale

Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire Neurons Stefano Fusi, Maurizio Mattia

Combined 5 X 2 Cv F Test for Comparing Supervised Classification Learning Algorithms Ethem Alpaydin

Comparison of Approximate Methods for Handling Hyperparameters David J. C. MacKay

Comparison of SOM Point Densities Based on Different Criteria Teuvo Kohonen

Complex Response to Periodic Inhibition in Simple and Detailed Neuronal Models Corrado Bernasconi, Kaspar Schindler, Ruedi Stoop, Rodney J. Douglas

Computing with Self-Excitatory Cliques: A Model and an Application to Hyperacuity-Scale Computation in Visual Cortex Steven W. Zucker, Douglas Miller

Concentration Tuning Mediated by Spare Receptor Capacity in Olfactory Sensory Neurons: A Theoretical Study Thomas A. Cleland, Christiane Linster

Convergence Properties of the Softassign Quadratic Assignment Algorithm Anand Rangarajan, Alan L. Yuille, Eric Mjolsness

Correlations Without Synchrony Carlos D. Brody

Detecting and Estimating Signals in Noisy Cable Structures, I: Neuronal Noise Sources Amit Manwani, Christof Koch

Detecting and Estimating Signals in Noisy Cable Structures, II: Information Theoretical Analysis Amit Manwani, Christof Koch

Disambiguating Different Covariation Types Carlos D. Brody

Discontinuities in Recurrent Neural Networks Ricard Gavaldà, Hava T. Siegelmann

Discriminant Component Pruning: Regularization and Interpretation of Multi-Layered Back-Propagation Networks Randal A. Koene, Yoshio Takane

Dynamic Stochastic Synapses as Computational Units Wolfgang Maass, Anthony M. Zador

Evolution of Time Coding Systems Catherine E. Carr, Matthew A. Friedman

Fast Calculation of Short-Term Depressing Synaptic Conductances Michele Giugliano, Marco Bove, Massimo Grattarola

Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates Nicolas Brunel, Vincent Hakim

Feature Extraction Through LOCOCODE Sepp Hochreiter, Jürgen Schmidhuber

Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli Alessandro Treves, Stefano Panzeri, Edmund T. Rolls, Michael Booth, Edward A. Wakeman

Hidden Neural Networks Anders Krogh, Søren Kamaric Riis

High-Order Constrasts for Independent Component Analysis Jean-François Cardoso

How to Design a Connectionist Holistic Parser Edward Kei Shiu Ho, Lai-Wan Chan

Implicit Learning in 3D Object Recognition: The Importance of Temporal Context Suzanna Becker

Improved Multidimensional Scaling Analysis Using Neural Networks with Distance-Error Backpropagation Lluís Garrido, Sergio Gómez, Jaume Roca

Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods George D. Magoulas, Michael N. Vrahatis, George S. Androulakis

Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources Te-Won Lee, Mark A. Girolami, Terrence J. Sejnowski

Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach Richard M. Everson, Stephen J. Roberts

Independent Factor Analysis Hagai Attias

Inferring Perceptual Saliency Fields from Viewpoint-Dependent Recognition Data Florin Cutzu, Michael J. Tarr

JPEG Quality Transcoding Using Neural Networks Trained with a Perceptual Error Measure John Lazzaro, John Wawrzynek

Kalman Filter Implementation of Self-Organizing Feature Maps Karin Haese

Learning to Design Synergetic Computers with an Extended Symmetric Diffusion Network Koji Okuhara, Shunji Osaki, Masaaki Kijima

Mixtures of Probabilistic Principal Component Analysers Michael E. Tipping, Christopher M. Bishop

Modeling and Prediction of Human Behavior Alex Pentland, Andrew Liu

Modeling the Combination of Motion, Stereo, and Vergence Angle Cues to Visual Depth Ione Fine, Robert A. Jacobs

Narrow vs Wide Tuning Curves: What's Best for a Population Code? Alexandre Pouget, Sophie Denève, Jean-Christophe Ducom, Peter E. Latham

Natural Gradient Learning for Over- and Under-Complete Bases in ICA Shun-ichi Amari

Network Stability from Activity-Dependent Regulation of Neuronal Conductances Jorge Golowasch, Michael Casey, L. F. Abbott, Eve Marder

Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation Gal Chechik, Isaac Meilijson, Eytan Ruppin

Neuronal Tuning: To Sharpen or Broaden? Kechen Zhang, Terrence J. Sejnowski

No Free Lunch for Early Stopping Zehra Cataltepe, Yaser S. Abu-Mostafa, Malik Magdon-Ismail

On Cross Validation for Model Selection Isabelle Rivals, Léon Personnaz

On Decoding the Responses of a Population of Neurons from Short Time Windows Stefano Panzeri, Alessandro Treves, Simon R. Schultz, Edmund T. Rolls

On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models Wenxin Jiang, Martin A. Tanner

On the Design of BSB Neural Associative Memories Using Semidefinite Programming Jooyoung Park, Hyuk Cho, Daihee Park

On the Role of Biophysical Properties of Cortical Neurons in Binding and Segmentation of Visual Scenes Paul F. M. J. Verschure, Peter König

Optimal Detection of Flash Intensity Differences Using Rod Photocurrent Observations Peter N. Steinmetz, Raimond L. Winslow

Parameter Convergence and Learning Curves for Neural Networks Terrence Fine, Sayandev Mukherjee

Prediction Games and Arcing Algorithms Leo Breiman

Probabilistic Synaptic Transmission in the Associative Net Bruce Graham, David J. Willshaw

Propagating Distributions up Directed Acyclic Graphs Eric B. Baum, Warren D. Smith

Pruning Using Parameter and Neuronal Metrics Piërre van de Laar, Tom Heskes

Random Neural Networks with Multiple Classes of Signals Erol Gelenbe, Jean-Michel Fourneau

Recurrent Sampling Models for the Helmholtz Machine Peter Dayan

Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network Danilo P. Mandic, Jonathon A. Chambers

Relation Between Retinotopical and Orientation Maps in Visual Cortex Udo Ernst, Klaus Pawelzik, Misha Tsodyks, Terrence J. Sejnowski

Replicator Equations, Maximal Cliques, and Graph Isomorphism Marcello Pelillo

Seeing White: Qualia in the Context of Decoding Population Codes Sidney R. Lehky, Terrence J. Sejnowski

Short-Term Synaptic Plasticity and Network Behavior Werner M. Kistler, J. Leo van Hemmen

Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation Aapo Hyvärinen

Spatiotemporal Coding in the Cortex: Information Flow-Based Learning in Spiking Neural Networks Gustavo Deco, Bernd Schürmann

Stochastic Learning of Strategic Equilibria for Auctions Samy Bengio, Yoshua Bengio, Jacques Robert, Gilles Bélanger

Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction Matthew Brand

Synchrony and Desynchrony in Integrate-and-Fire Oscillators Shannon R. Campbell, DeLiang L. Wang, Ciriyam Jayaprakash

The Continuum of Operating Modes for a Passive Model Neuron Michael A. Kisley, George L. Gerstein

The Effect of Correlated Variability on the Accuracy of a Population Code L. F. Abbott, Peter Dayan

The Ornstein-Uhlenbeck Process Does Not Reproduce Spiking Statistics of Neurons in Prefrontal Cortex Shigeru Shinomoto, Yutaka Sakai, Shintaro Funahashi

The Relationship Between Synchronization Among Neuronal Populations and Their Mean Activity Levels D. Chawla, Erik D. Lumer, Karl J. Friston

Training a Sigmoidal Node Is Hard Don R. Hush

Variational Learning in Nonlinear Gaussian Belief Networks Brendan J. Frey, Geoffrey E. Hinton