NeCo 2002

122 papers

A Bayesian Approach to the Stereo Correspondence Problem Jenny C. A. Read

A Bayesian Framework for Sensory Adaptation Norberto M. Grzywacz, Rosario M. Balboa

A Global Optimum Approach for One-Layer Neural Networks Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos

A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem Chuangyin Dang, Lei Xu

A Monte Carlo EM Approach for Partially Observable Diffusion Processes: Theory and Applications to Neural Networks Javier R. Movellan, Paul Mineiro, Ruth J. Williams

A Neural-Network-Based Approach to the Double Traveling Salesman Problem Alessio Plebe, Angelo Marcello Anile

A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method Siu-Yeung Cho, Tommy W. S. Chow

A New Discriminative Kernel from Probabilistic Models Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller

A Note on the Decomposition Methods for Support Vector Regression Shuo-Peng Liao, Hsuan-Tien Lin, Chih-Jen Lin

A Parallel Mixture of SVMs for Very Large Scale Problems Ronan Collobert, Samy Bengio, Yoshua Bengio

A Population Study of Integrate-and-Fire-or-Burst Neurons Alex Casti, Ahmet Omurtag, Andrew T. Sornborger, Ehud Kaplan, Bruce W. Knight, Jonathan D. Victor, L. Sirovich

A Proposed Function for Hippocampal Theta Rhythm: Separate Phases of Encoding and Retrieval Enhance Reversal of Prior Learning Michael E. Hasselmo, Clara Bodelón, Bradley P. Wyble

A Simple Model of Long-Term Spike Train Regularization Relly Brandman, Mark E. Nelson

Activity-Dependent Development of Axonal and Dendritic Delays, or, Why Synaptic Transmission Should Be Unreliable Walter Senn, Martin Schneider, Berthold Ruf

Adaptive Spatiotemporal Receptive Field Estimation in the Visual Pathway Garrett B. Stanley

Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure Marco Saerens, Patrice Latinne, Christine Decaestecker

An Amplitude Equation Approach to Contextual Effects in Visual Cortex Paul C. Bressloff, Jack D. Cowan

An Image Analysis Algorithm for Dendritic Spines Ingrid Y. Y. Koh, W. Brent Lindquist, Karen Zito, Esther A. Nimchinsky, Karel Svoboda

An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models Harri Valpola, Juha Karhunen

Analysis of Oscillations in a Reciprocally Inhibitory Network with Synaptic Depression Adam L. Taylor, Garrison W. Cottrell, William B. Kristan Jr.

Approximation Bounds for Some Sparse Kernel Regression Algorithms Tong Zhang

Are Visual Cortex Maps Optimized for Coverage? Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill

Associative Memory with Dynamic Synapses Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen, Stan C. A. M. Gielen

Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control Richard H. R. Hahnloser, Rodney J. Douglas, Klaus Hepp

Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski

Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking James M. Coughlan, Alan L. Yuille

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle

Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities Aki Vehtari, Jouko Lampinen

Biophysiologically Plausible Implementations of the Maximum Operation Angela J. Yu, Martin A. Giese, Tomaso A. Poggio

CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation Alan L. Yuille

Center-Crossing Recurrent Neural Networks for the Evolution of Rhythmic Behavior Boonyanit Mathayomchan, Randall D. Beer

Clustering Based on Conditional Distributions in an Auxiliary Space Janne Sinkkonen, Samuel Kaski

Computational Capacity of an Odorant Discriminator: The Linear Separability of Curves Nestor Caticha, J. E. Palo Tejada, Doron Lancet, Eytan Domany

Cosine Tuning Minimizes Motor Errors Emanuel Todorov

Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography Terry Elliott, Jörg Kramer

Data-Reusing Recurrent Neural Adaptive Filters Danilo P. Mandic

Derivation of the Visual Contrast Response Function by Maximizing Information Rate Allan Gottschalk

Descartes' Rule of Signs for Radial Basis Function Neural Networks Michael Schmitt

Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models Thomas Wennekers

Dynamical Working Memory and Timed Responses: The Role of Reverberating Loops in the Olivo-Cerebellar System Werner M. Kistler, Chris I. De Zeeuw

Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons Nicolas Fourcaud, Nicolas Brunel

Energy-Efficient Coding with Discrete Stochastic Events Susanne Schreiber, Christian K. Machens, Andreas V. M. Herz, Simon B. Laughlin

Factorial Hidden Markov Models and the Generalized Backfitting Algorithm Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner

Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent Nicol N. Schraudolph

Fields as Limit Functions of Stochastic Discrimination and Their Adaptability Philip R. Van Loocke

Global Convergence Rate of Recurrently Connected Neural Networks Tianping Chen, Wenlian Lu, Shun-ichi Amari

Hebbian Imprinting and Retrieval in Oscillatory Neural Networks Silvia Scarpetta, Zhaoping Li, John A. Hertz

Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis Jianfeng Feng, Guibin Li

Independent Components of Magnetoencephalography: Localization Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung, Bethany C. Reeb

Information Loss in an Optimal Maximum Likelihood Decoding Inés Samengo

Information-Geometric Measure for Neural Spikes Hiroyuki Nakahara, Shun-ichi Amari

Integrate-and-Fire Neurons Driven by Correlated Stochastic Input Emilio Salinas, Terrence J. Sejnowski

Invariant Object Recognition in the Visual System with Novel Views of 3D Objects Simon M. Stringer, Edmund T. Rolls

Joint Entropy Maximization in Kernel-Based Topographic Maps Marc M. Van Hulle

Kernel-Based Topographic mAP Formation by Local Density Modeling Marc M. Van Hulle

Learning Curves for Gaussian Process Regression: Approximations and Bounds Peter Sollich, Anason S. Halees

Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM Jürgen Schmidhuber, Felix A. Gers, Douglas Eck

Learning to Recognize Three-Dimensional Objects Dan Roth, Ming-Hsuan Yang, Narendra Ahuja

Local Overfitting Control via Leverages Gaétan Monari, Gérard Dreyfus

Locality of Global Stochastic Interaction in Directed Acyclic Networks Nihat Ay

Long-Term Reward Prediction in TD Models of the Dopamine System Nathaniel D. Daw, David S. Touretzky

Many-Layered Learning Paul E. Utgoff, David J. Stracuzzi

Mean-Field Approaches to Independent Component Analysis Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen

Measuring Information Spatial Densities Michele Bezzi, Inés Samengo, Stefan Leutgeb, Sheri J. Mizumori

Mechanisms Shaping Fast Excitatory Postsynaptic Currents in the Central Nervous System Mladen I. Glavinovic

Methods for Binary Multidimensional Scaling Douglas L. T. Rohde

Mixture of Experts Classification Using a Hierarchical Mixture Model Michalis K. Titsias, Aristidis Likas

MLP in Layer-Wise Form with Applications to Weight Decay Tommi Kärkkäinen

Multiple Model-Based Reinforcement Learning Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato

Multiplicative Synaptic Normalization and a Nonlinear Hebb Rule Underlie a Neurotrophic Model of Competitive Synaptic Plasticity Terry Elliott, Nigel Shadbolt

Natural Discriminant Analysis Using Interactive Potts Models Jiann-Ming Wu

Neural Network Pruning with Tukey-Kramer Multiple Comparison Procedure Donald E. Duckro, Dennis W. Quinn, Samuel J. Gardner Iii

Neural Networks with Local Receptive Fields and Superlinear VC Dimension Michael Schmitt

Notes on Bell-Sejnowski PDF-Matching Neuron Simone G. O. Fiori

On Different Facets of Regularization Theory Zhe Chen, Simon Haykin

On Optimality in Auditory Information Processing Mattias F. Karlsson, John W. C. Robinson

On the Complexity of Computing and Learning with Multiplicative Neural Networks Michael Schmitt

On the Emergence of Rules in Neural Networks Stephen Jose Hanson, Michiro Negishi

On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario Katsuyuki Hagiwara

On Unique Representations of Certain Dynamical Systems Produced by Continuous-Time Recurrent Neural Networks Masahiro Kimura

Optimal Short-Term Population Coding: When Fisher Information Fails Matthias Bethge, David Rotermund, Klaus Pawelzik

Optimization of the Kernel Functions in a Probabilistic Neural Network Analyzing the Local Pattern Distribution Ingo Galleske, Juan Castellanos

Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem Mark A. Girolami

Population Coding and Decoding in a Neural Field: A Computational Study Si Wu, Shun-ichi Amari, Hiroyuki Nakahara

Population Computation of Vectorial Transformations Pierre Baraduc, Emmanuel Guigon

Preintegration Lateral Inhibition Enhances Unsupervised Learning Michael W. Spratling, M. H. Johnson

Products of Gaussians and Probabilistic Minor Component Analysis Christopher K. I. Williams, Felix V. Agakov

Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations Wolfgang Maass, Thomas Natschläger, Henry Markram

Redistribution of Synaptic Efficacy Supports Stable Pattern Learning in Neural Networks Gail A. Carpenter, Boriana L. Milenova

Reply to Carreira-Perpiñán and Goodhill Nicholas V. Swindale, Doron Shoham, Amiram Grinvald, Tobias Bonhoeffer, Mark Hübener

Representation and Extrapolation in Multilayer Perceptrons Antony Browne

Representational Accuracy of Stochastic Neural Populations Stefan D. Wilke, Christian W. Eurich

Robust Blind Source Separation by Beta Divergence Mihoko Minami, Shinto Eguchi

Robust Regression with Asymmetric Heavy-Tail Noise Distributions Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori

Scalable Hybrid Computation with Spikes Rahul Sarpeshkar, Micah G. O'Halloran

Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung

Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals Hiroyuki Nakahara, Shun-ichi Amari, Okihide Hikosaka

Self-Regulation Mechanism of Temporally Asymmetric Hebbian Plasticity Narihisa Matsumoto, Masato Okada

Slow Feature Analysis: Unsupervised Learning of Invariances Laurenz Wiskott, Terrence J. Sejnowski

SMEM Algorithm Is Not Fully Compatible with Maximum-Likelihood Framework Akihiro Minagawa, Norio Tagawa, Toshiyuki Tanaka

Sparse On-Line Gaussian Processes Lehel Csató, Manfred Opper

Spatiotemporal Spike Encoding of a Continuous External Signal Naoki Masuda, Kazuyuki Aihara

Stable Propagation of Activity Pulses in Populations of Spiking Neurons Werner M. Kistler, Wulfram Gerstner

Statistical Significance of Coincident Spikes: Count-Based Versus Rate-Based Statistics Robert Gütig, Ad Aertsen, Stefan Rotter

Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis Magnus Rattray

Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks Alex Aussem

Supervised Dimension Reduction of Intrinsically Low-Dimensional Data Nikos Vlassis, Yoichi Motomura, Ben J. A. Kröse

Temporal Correlations in Stochastic Networks of Spiking Neurons Carsten Meyer, Carl van Vreeswijk

The Impact of Spike Timing Variability on the Signal-Encoding Performance of Neural Spiking Models Amit Manwani, Peter N. Steinmetz, Christof Koch

The Influence of Limit Cycle Topology on the Phase Resetting Curve Sorinel Adrian Oprisan, Carmen C. Canavier

The Reliability of the Stochastic Active Rotator Khashayar Pakdaman

The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis Emery N. Brown, Riccardo Barbieri, Valérie Ventura, Robert E. Kass, Loren M. Frank

Training a Single Sigmoidal Neuron Is Hard Jirí Síma

Training Products of Experts by Minimizing Contrastive Divergence Geoffrey E. Hinton

Training V -Support Vector Regression: Theory and Algorithms Chih-Chung Chang, Chih-Jen Lin

Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics Daniel Cremers, Andreas V. M. Herz

Two Timescale Analysis of the Alopex Algorithm for Optimization P. S. Sastry, M. Magesh, K. P. Unnikrishnan

Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance Sonja Grün, Markus Diesmann, Ad Aertsen

Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data Sonja Grün, Markus Diesmann, Ad Aertsen

Universal Approximation of Multiple Nonlinear Operators by Neural Networks Andrew D. Back, Tianping Chen

Using Noise to Compute Error Surfaces in Connectionist Networks: A Novel Means of Reducing Catastrophic Forgetting Robert M. French, Nick Chater

What Geometric Visual Hallucinations Tell Us About the Visual Cortex Paul C. Bressloff, Jack D. Cowan, Martin Golubitsky, Peter J. Thomas, Matthew C. Wiener