NeCo 2003

112 papers

A Computational Model as Neurodecoder Based on Synchronous Oscillation in the Visual Cortex Songnian Zhao, Xiaoyun Xiong, Guozheng Yao, Zhi Fu

A Constrained EM Algorithm for Principal Component Analysis Jong-Hoon Ahn, Jong-Hoon Oh

A Developmental Approach Aids Motor Learning Volodymyr Ivanchenko, Robert A. Jacobs

A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation Xiaoqin Zeng, Daniel S. Yeung

A Simple and Stable Numerical Solution for the Population Density Equation Marc de Kamps

A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent Plasticity Hideyuki Câteau, Tomoki Fukai

A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case Guilherme De A. Barreto, Aluízio F. R. Araújo, Stefan C. Kremer

A Theoretical Model of Axon Guidance by the Robo Code Geoffrey J. Goodhill

A Universal Model for Spike-Frequency Adaptation Jan Benda, Andreas V. M. Herz

Accurate On-Line Support Vector Regression Junshui Ma, James Theiler, Simon Perkins

Activation Functions Defined on Higher-Dimensional Spaces for Approximation on Compact Sets with and Without Scaling Yoshifusa Ito

An Adjustment to the Time-Rescaling Method for Application to Short-Trial Spike Train Data Matthew C. Wiener

An Algorithm of Supervised Learning for Multilayer Neural Networks Zheng Tang, XuGang Wang, Hiroki Tamura, Masahiro Ishii

An Analysis of Synaptic Normalization in a General Class of Hebbian Models Terry Elliott

An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine Faming Liang

An Efficient Approximation Algorithm for Finding a Maximum Clique Using Hopfield Network Learning Rong Long Wang, Zheng Tang, Qi Ping Cao

Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise Benjamin Lindner, André Longtin, Adi R. Bulsara

Approximation by Fully Complex Multilayer Perceptrons Taehwan Kim, Tülay Adali

Architectural Bias in Recurrent Neural Networks: Fractal Analysis Peter Tiño, Barbara Hammer

Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel S. Sathiya Keerthi, Chih-Jen Lin

Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory Neurons David Hansel, Germán Mato

Background Synaptic Activity as a Switch Between Dynamical States in a Network Emilio Salinas

Bayesian Trigonometric Support Vector Classifier Wei Chu, S. Sathiya Keerthi, Chong Jin Ong

Cell Responsiveness in Macaque Superior Temporal Polysensory Area Measured by Temporal Discriminants J. A. Turner, K. C. Anderson, Ralph M. Siegel

Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes Michael Rudolph, Alain Destexhe

Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons Simone G. O. Fiori

Comparison of Model Selection for Regression Vladimir Cherkassky, Yunqian Ma

Computation in a Single Neuron: Hodgkin and Huxley Revisited Blaise Agüera y Arcas, Adrienne L. Fairhall, William Bialek

Computing with Populations of Monotonically Tuned Neurons Emmanuel Guigon

Continuous-Time Symmetric Hopfield Nets Are Computationally Universal Jirí Síma, Pekka Orponen

Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model Henry C. Tuckwell, Roger Rodriguez, Frederic Y. M. Wan

Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities Melissa Dominguez, Robert A. Jacobs

Dictionary Learning Algorithms for Sparse Representation Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski

Differences in Spiking Patterns Among Cortical Neurons Shigeru Shinomoto, Keisetsu Shima, Jun Tanji

Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity Maneesh Sahani, Peter Dayan

Duality of Rate Coding and Temporal Coding in Multilayered Feedforward Networks Naoki Masuda, Kazuyuki Aihara

Dynamical Consequences of Fast-Rising, Slow-Decaying Synapses in Neuronal Networks Bard Ermentrout

Dynamics of Deterministic and Stochastic Paired Excitatory-Inhibitory Delayed Feedback Carlo R. Laing, André Longtin

Efficient Greedy Learning of Gaussian Mixture Models Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network Xiaohui Xie, H. Sebastian Seung

Ergodicity of Spike Trains: When Does Trial Averaging Make Sense? Naoki Masuda, Kazuyuki Aihara

Estimating a State-Space Model from Point Process Observations Anne C. Smith, Emery N. Brown

Estimation of Entropy and Mutual Information Liam Paninski

Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics Jan Reutimann, Michele Giugliano, Stefano Fusi

Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron Nicolas Brunel, Peter E. Latham

Gamma Rhythmic Bursts: Coherence Control in Networks of Cortical Pyramidal Neurons Toshio Aoyagi, Takashi Takekawa, Tomoki Fukai

General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results Jirí Síma, Pekka Orponen

Have Brain Dynamics Evolved? Should We Look for Unique Dynamics in the Sapient Species? Theodore Holmes Bullock

Higher-Order Statistics of Input Ensembles and the Response of Simple Model Neurons Alexandre Kuhn, Ad Aertsen, Stefan Rotter

Hybrid Integrate-and-Fire Model of a Bursting Neuron Barbara J. Breen, William C. Gerken, Robert J. Butera

Indexed Families of Functionals and Gaussian Radial Basis Functions Irwin W. Sandberg

Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-Fire Model with Threshold Fatigue Maurice J. Chacron, Khashayar Pakdaman, André Longtin

Is There Something Out There? Inferring Space from Sensorimotor Dependencies David Philipona, J. Kevin O'Regan, Jean-Pierre Nadal

ISO Learning Approximates a Solution to the Inverse-Controller Problem in an Unsupervised Behavioral Paradigm Bernd Porr, Christian von Ferber, Florentin Wörgötter

Isotropic Sequence Order Learning Bernd Porr, Florentin Wörgötter

Kernel-Based Nonlinear Blind Source Separation Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation Mikhail Belkin, Partha Niyogi

Lateral Neural Model of Binocular Rivalry Lars Stollenwerk, Mathias Bode

Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities Sumio Watanabe, Shun-ichi Amari

Learning Innate Face Preferences James A. Bednar, Risto Miikkulainen

Learning Optimized Features for Hierarchical Models of Invariant Object Recognition Heiko Wersing, Edgar Körner

Learning the Gestalt Rule of Collinearity from Object Motion Carsten Prodöhl, Rolf P. Würtz, Christoph von der Malsburg

Learning the Nonlinearity of Neurons from Natural Visual Stimuli Christoph Kayser, Konrad P. Körding, Peter König

Leave-One-Out Bounds for Kernel Methods Tong Zhang

Linear Geometric ICA: Fundamentals and Algorithms Fabian J. Theis, Andreas Jung, Carlos García Puntonet, Elmar Wolfgang Lang

Local Interactions in Neural Networks Explain Global Effects in Gestalt Processing and Masking Michael H. Herzog, Udo A. Ernst, Axel Etzold, Christian W. Eurich

Localization of Function via Lesion Analysis Ranit Aharonov-Barki, Lior Segev, Isaac Meilijson, Eytan Ruppin

Manhattan World: Orientation and Outlier Detection by Bayesian Inference James M. Coughlan, Alan L. Yuille

Memory Encoding by Theta Phase Precession in the Hippocampal Network Naoyuki Sato, Yoko Yamaguchi

Modeling Cross-Modal Enhancement and Modality-Specific Suppression in Multisensory Neurons Paul E. Patton, Thomas J. Anastasio

Modeling Reaching Impairment After Stroke Using a Population Vector Model of Movement Control That Incorporates Neural Firing-Rate Variability David J. Reinkensmeyer, Mario G. Iobbi, Leonard E. Kahn, Derek G. Kamper, Craig D. Takahashi

Modeling Reverse-Phi Motion-Selective Neurons in Cortex: Double Synaptic-Veto Mechanism Chun-Hui Mo, Christof Koch

Modeling Short-Term Synaptic Depression in Silicon Malte Boegershausen, Pascal Suter, Shih-Chii Liu

Multistability Analysis for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions Zhang Yi, Kok Kiong Tan, Tong Heng Lee

Neural Representation of Probabilistic Information Michael J. Barber, John W. Clark, Charles H. Anderson

New Conditions on Global Stability of Cohen-Grossberg Neural Networks Wenlian Lu, Tianping Chen

Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma Trevor Hastie, Robert Tibshirani, Jerome H. Friedman

On Embedding Synfire Chains in a Balanced Network Yuval Aviel, Carsten Mehring, Moshe Abeles, David Horn

On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes Konstantinos Koutroumbas

Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov

Pattern Filtering for Detection of Neural Activity, with Examples from HVc Activity During Sleep in Zebra Finches Zhiyi Chi, Peter L. Rauske, Daniel Margoliash

Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks Richard H. R. Hahnloser, H. Sebastian Seung, Jean-Jacques E. Slotine

Probing Changes in Neural Interaction During Adaptation Liqiang Zhu, Ying-Cheng Lai, Frank Hoppensteadt, Jiping He

Radius Margin Bounds for Support Vector Machines with the RBF Kernel Kai-Min Chung, Wei-Chun Kao, Chia-Liang Sun, Li-Lun Wang, Chih-Jen Lin

Rate Models for Conductance-Based Cortical Neuronal Networks Oren Shriki, David Hansel, Haim Sompolinsky

Recurrent Neural Networks with Small Weights Implement Definite Memory Machines Barbara Hammer, Peter Tiño

Relating STDP to BCM Eugene M. Izhikevich, Niraj S. Desai

Reliability of Spike Timing Is a General Property of Spiking Model Neurons Romain Brette, Emmanuel Guigon

Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach Jens Kaae Christensen, Kasper Lamberth, Morten Nielsen, Claus Lundegaard, Peder Worning, Sanne Lise Lauemøller, Søren Buus, Søren Brunak, Ole Lund

Sequential Bayesian Decoding with a Population of Neurons Si Wu, Danmei Chen, Mahesan Niranjan, Shun-ichi Amari

Simple-Cell-like Receptive Fields Maximize Temporal Coherence in Natural Video Jarmo Hurri, Aapo Hyvärinen

Slow Feature Analysis: A Theoretical Analysis of Optimal Free Responses Laurenz Wiskott

SMO Algorithm for Least-Squares SVM Formulation S. Sathiya Keerthi, Shirish K. Shevade

Soft Learning Vector Quantization Sambu Seo, Klaus Obermayer

Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski

Speeding up Backpropagation Using Multiobjective Evolutionary Algorithms Hussein A. Abbass

Spike-Driven Synaptic Dynamics Generating Working Memory States Daniel J. Amit, Gianluigi Mongillo

Spike-Timing-Dependent Plasticity and Relevant Mutual Information Maximization Gal Chechik

Suprathreshold Intrinsic Dynamics of the Human Visual System Gopathy Purushothaman, Haluk Ögmen, Harold E. Bedell

Synaptic Depression Leads to Nonmonotonic Frequency Dependence in the Coincidence Detector Shawn Mikula, Ernst Niebur

Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity Christoph Börgers, Nancy Kopell

Synchronous Firing and Higher-Order Interactions in Neuron Pool Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai

Synchrony of Fast-Spiking Interneurons Interconnected by GABAergic and Electrical Synapses Masaki Nomura, Tomoki Fukai, Toshio Aoyagi

The Concave-Convex Procedure Alan L. Yuille, Anand Rangarajan

The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding Brigitte Quenet, David Horn

The Effect of Noise on a Class of Energy-Based Learning Rules Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani

The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution Shawn Mikula, Ernst Niebur

The Time-Organized mAP Algorithm: Extending the Self-Organizing mAP to Spatiotemporal Signals Jan C. Wiemer

Variational Bayesian Learning of ICA with Missing Data Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski

Variational Mixture of Bayesian Independent Component Analyzers Rizwan Choudrey, Stephen J. Roberts

Visual Development and the Acquisition of Motion Velocity Sensitivities Robert A. Jacobs, Melissa Dominguez

What Causes a Neuron to Spike? Blaise Agüera y Arcas, Adrienne L. Fairhall