Journal: Neural Computation

Volume 21, Issue 9

2407 -- 2436Juan Gao, KongFatt Wong-Lin, Philip Holmes, Patrick Simen, Jonathan D. Cohen. Sequential Effects in Two-Choice Reaction Time Tasks: Decomposition and Synthesis of Mechanisms
2437 -- 2465Matthias Oster, Rodney J. Douglas, Shih-Chii Liu. Computation with Spikes in a Winner-Take-All Network
2466 -- 2501Valérie Ventura. Automatic Spike Sorting Using Tuning Information
2502 -- 2523Andreas Steimer, Wolfgang Maass, Rodney J. Douglas. Belief Propagation in Networks of Spiking Neurons
2524 -- 2553Ram Krips, Miriam Furst. Stochastic Properties of Coincidence-Detector Neural Cells
2554 -- 2580Shigeru Tanaka, Masanobu Miyashita. Constraint on the Number of Synaptic Inputs to a Visual Cortical Neuron Controls Receptive Field Formation
2581 -- 2604Hal S. Greenwald, David C. Knill. Orientation Disparity: A Cue for 3D Orientation?
2605 -- 2633Kenji Hosoda, Masataka Watanabe, Heiko Wersing, Edgar Körner, Hiroshi Tsujino, Hiroshi Tamura, Ichiro Fujita. A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization
2634 -- 2647Jun Nishii, Yoshiaki Taniai. Evaluation of Trajectory Planning Models for Arm-Reaching Movements Based on Energy Cost
2648 -- 2666Tatyana I. Aksenova, Dimitri V. Nowicki, Alim-Louis Benabid. Filtering Out Deep Brain Stimulation Artifacts Using a Nonlinear Oscillatory Model
2667 -- 2686Wenwu He. Limited Stochastic Meta-Descent for Kernel-Based Online Learning
2687 -- 2712Mingjie Zhao, Herbert Jaeger, Michael Thon. A Bound on Modeling Error in Observable Operator Models and an Associated Learning Algorithm

Volume 21, Issue 8

2105 -- 2113Daniel K. Wójcik, Gabriela Mochol, Wit Jakuczun, Marek Wypych, Wioletta J. Waleszczyk. Direct Estimation of Inhomogeneous Markov Interval Models of Spike Trains
2114 -- 2122Jonathan Touboul. Importance of the Cutoff Value in the Quadratic Adaptive Integrate-and-Fire Model
2123 -- 2151Ramón Huerta, Thomas Nowotny. Fast and Robust Learning by Reinforcement Signals: Explorations in the Insect Brain
2152 -- 2202Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki. Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes
2203 -- 2268Justin Dauwels, François B. Vialatte, Theophane Weber, Toshimitsu Musha, Andrzej Cichocki. Quantifying Statistical Interdependence by Message Passing on Graphs - Part II: Multidimensional Point Processes
2269 -- 2308Yoram Burak, Sam Lewallen, Haim Sompolinsky. Stimulus-Dependent Correlations in Threshold-Crossing Spiking Neurons
2309 -- 2335Masami Tatsuno, Jean-Marc Fellous, Shun-ichi Amari. Information-Geometric Measures as Robust Estimators of Connection Strengths and External Inputs
2336 -- 2362Xiang Zhou, KongFatt Wong-Lin, Philip Holmes. Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks
2363 -- 2404Marco Saerens, Youssef Achbany, François Fouss, Luh Yen. Randomized Shortest-Path Problems: Two Related Models

Volume 21, Issue 7

1797 -- 1862Zhe Chen, Sujith Vijayan, Riccardo Barbieri, Matthew A. Wilson, Emery N. Brown. Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States
1863 -- 1912Sean Escola, Michael Eisele, Kenneth D. Miller, Liam Paninski. Maximally Reliable Markov Chains Under Energy Constraints
1913 -- 1930Ronald A. J. van Elburg, Arjen Van Ooyen. Generalization of the Event-Based Carnevale-Hines Integration Scheme for Integrate-and-Fire Models
1931 -- 1951Takeaki Shimokawa, Shigeru Shinomoto. Estimating Instantaneous Irregularity of Neuronal Firing
1952 -- 1989Günter Westphal, Rolf P. Würtz. Combining Feature- and Correspondence-Based Methods for Visual Object Recognition
1990 -- 2008Charles Andoh. Stochastic Variance Models in Discrete Time with Feedforward Neural Networks
2009 -- 2027Luca Lonini, Laura Dipietro, Loredana Zollo, Eugenio Guglielmelli, Hermano Ingo Krebs. An Internal Model for Acquisition and Retention of Motor Learning During Arm Reaching
2028 -- 2048Tadayoshi Fushiki. Estimation of Positive Semidefinite Correlation Matrices by Using Convex Quadratic Semidefinite Programming
2049 -- 2081Takashi Takenouchi, Shin Ishii. A Multiclass Classification Method Based on Decoding of Binary Classifiers
2082 -- 2103Shirish Krishnaj Shevade, S. Sundararajan. Validation-Based Sparse Gaussian Process Classifier Design

Volume 21, Issue 6

1485 -- 1519Siwei Lyu, Eero P. Simoncelli. Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization
1520 -- 1553Yuan Sophie Liu, Angela Yu, Philip Holmes. Dynamical Analysis of Bayesian Inference Models for the Eriksen Task
1554 -- 1588Jonathan Tapson, Craig T. Jin, André van Schaik, Ralph Etienne-Cummings. A First-Order Nonhomogeneous Markov Model for the Response of Spiking Neurons Stimulated by Small Phase-Continuous Signals
1589 -- 1600Inmar E. Givoni, Brendan J. Frey. A Binary Variable Model for Affinity Propagation
1601 -- 1621Yoshua Bengio, Olivier Delalleau. Justifying and Generalizing Contrastive Divergence
1622 -- 1641Barak A. Pearlmutter, Conor Houghton. A New Hypothesis for Sleep: Tuning for Criticality
1642 -- 1664Michael Krumin, Shy Shoham. Generation of Spike Trains with Controlled Auto- and Cross-Correlation Functions
1665 -- 1682Andrey V. Olypher, Ronald L. Calabrese. How Does Maintenance of Network Activity Depend on Endogenous Dynamics of Isolated Neurons?
1683 -- 1713Osamu Hoshino. GABA Transporter Preserving Ongoing Spontaneous Neuronal Activity at Firing Subthreshold
1714 -- 1748Shiro Ikeda, Jonathan H. Manton. Capacity of a Single Spiking Neuron Channel
1749 -- 1775Thomas Voegtlin. Adaptive Synchronization of Activities in a Recurrent Network
1776 -- 1795Dalei Wu. Parameter Estimation for alpha-GMM Based on Maximum Likelihood Criterion

Volume 21, Issue 5

1203 -- 1243Taro Toyoizumi, Kamiar Rahnama Rad, Liam Paninski. Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness
1244 -- 1258Matthew T. Harrison, Stuart Geman. A Rate and History-Preserving Resampling Algorithm for Neural Spike Trains
1259 -- 1276Timothée Masquelier, Rudy Guyonneau, Simon J. Thorpe. Competitive STDP-Based Spike Pattern Learning
1277 -- 1320Omer Bobrowski, Ron Meir, Yonina C. Eldar. Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration
1321 -- 1334Yang Wei Koh, Kazuo Takatsuka. Increasing Memory Capacity and Reducing Spurious States in Neural Networks by Introducing Coherent and Collective Firing
1335 -- 1370Renaud Ronsse, Dagmar Sternad, Philippe Lefèvre. A Computational Model for Rhythmic and Discrete Movements in Uni- and Bimanual Coordination
1371 -- 1414V. Martin, John P. Scholz, Gregor Schöner. Redundancy, Self-Motion, and Motor Control
1415 -- 1433Pierre-Antoine Absil, Mariya Ishteva, Lieven De Lathauwer, Sabine Van Huffel. A Geometric Newton Method for Oja s Vector Field
1434 -- 1458Xuemei Li. Analysis of Complete Stability for Discrete-Time Cellular Neural Networks with Piecewise Linear Output Functions
1459 -- 1484Liwei Wang, Masashi Sugiyama, Cheng Yang, Kohei Hatano, Jufu Feng. Theory and Algorithm for Learning with Dissimilarity Functions

Volume 21, Issue 4

911 -- 959Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass. Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components
960 -- 972Shun-ichi Amari. Measure of Correlation Orthogonal to Change in Firing Rate
973 -- 990Luis F. Lago-Fernández, Attila Szücs, Pablo Varona. Determining Burst Firing Time Distributions from Multiple Spike Trains
991 -- 1017Zhijun Yang, Matthias H. Hennig, Michael Postlethwaite, Ian D. Forsythe, Bruce P. Graham. Wide-Band Information Transmission at the Calyx of Held
1018 -- 1037Mehmet K. Muezzinoglu, Ramón Huerta, Henry D. I. Abarbanel, Margaret A. Ryan, Mikhail I. Rabinovich. Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory
1038 -- 1067Takuma Tanaka, Takeshi Kaneko, Toshio Aoyagi. Recurrent Infomax Generates Cell Assemblies, Neuronal Avalanches, and Simple Cell-Like Selectivity
1068 -- 1099Michiel D Haene, Benjamin Schrauwen, Jan Van Campenhout, Dirk Stroobandt. Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants
1100 -- 1124Dotan Di Castro, Ron Meir, Irad Yavneh. Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis
1125 -- 1144Konstantin Doubrovinski, J. Michael Herrmann. Stability of Localized Patterns in Neural Fields
1145 -- 1172Kenichi Kurihara, Max Welling. Bayesian ::::k::::-Means as a "Maximization-Expectation" Algorithm
1173 -- 1202Christoph Kolodziejski, Bernd Porr, Florentin Wörgötter. On the Asymptotic Equivalence Between Differential Hebbian and Temporal Difference Learning

Volume 21, Issue 3

619 -- 687Jeremy Lewi, Robert J. Butera, Liam Paninski. Sequential Optimal Design of Neurophysiology Experiments
688 -- 703Vincent Q. Vu, Bin Yu, Robert E. Kass. Information in the Nonstationary Case
704 -- 718Stefan Mihalas, Ernst Niebur. A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors
719 -- 740Chang-Yuan Cheng, Chih-Wen Shih. Complete Stability in Multistable Delayed Neural Networks
741 -- 761Ransom K. Winder, James A. Reggia, Scott A. Weems, Michael F. Bunting. An Oscillatory Hebbian Network Model of Short-Term Memory
762 -- 785Yiu-Fai Sit, Risto Miikkulainen. Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing
786 -- 792Manfred Opper, Cédric Archambeau. The Variational Gaussian Approximation Revisited
793 -- 830Cédric Févotte, Nancy Bertin, Jean-Louis Durrieu. Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis
831 -- 850Robert C. Wilson. Parallel Hopfield Networks
851 -- 871Jorge F. Mejías, Joaquín J. Torres. Maximum Memory Capacity on Neural Networks with Short-Term Synaptic Depression and Facilitation
872 -- 889Jian-qiang Liu, Da-Zheng Feng, Wei Wei Zhang. Adaptive Improved Natural Gradient Algorithm for Blind Source Separation
890 -- 910Fu Chang, Chien-Hsing Chou. A Bi-Prototype Theory of Facial Attractiveness

Volume 21, Issue 2

301 -- 339Wiebke Potjans, Abigail Morrison, Markus Diesmann. A Spiking Neural Network Model of an Actor-Critic Learning Agent
340 -- 352Robert Urbanczik, Walter Senn. A Gradient Learning Rule for the Tempotron
353 -- 359Hans Ekkehard Plesser, Markus Diesmann. Simplicity and Efficiency of Integrate-and-Fire Neuron Models
360 -- 396Cheng Ly, Daniel Tranchina. Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach
397 -- 423Jakob Macke, Philipp Berens, Alexander S. Ecker, Andreas S. Tolias, Matthias Bethge. Generating Spike Trains with Specified Correlation Coefficients
424 -- 449António R. C. Paiva, Il Park, José C. Príncipe. A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing
450 -- 477Seif Eldawlatly, Rong Jin, Karim G. Oweiss. Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach
478 -- 509Ueli Rutishauser, Rodney J. Douglas. State-Dependent Computation Using Coupled Recurrent Networks
510 -- 532Robert F. Hadley. The Problem of Rapid Variable Creation
533 -- 559Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori. Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression
560 -- 582Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu. Arbitrary Norm Support Vector Machines
583 -- 617Jirí Síma, Radim Lnenicka. Sequential Triangle Strip Generator Based on Hopfield Networks

Volume 21, Issue 12

3271 -- 3304Peggy Seriès, Alan A. Stocker, Eero P. Simoncelli. Is the Homunculus Aware of Sensory Adaptation?
3305 -- 3334Yifei Huang, Mark P. Brandon, Amy L. Griffin, Michael E. Hasselmo, Uri T. Eden. Decoding Movement Trajectories Through a T-Maze Using Point Process Filters Applied to Place Field Data from Rat Hippocampal Region CA1
3335 -- 3362Naoki Masuda. Selective Population Rate Coding: A Possible Computational Role of Gamma Oscillations in Selective Attention
3363 -- 3407Terry Elliott, Konstantinos Lagogiannis. Taming Fluctuations in a Stochastic Model of Spike-Timing-Dependent Plasticity
3408 -- 3428Christian Leibold, Michael H. K. Bendels. Learning to Discriminate Through Long-Term Changes of Dynamical Synaptic Transmission
3429 -- 3443Jared Sylvester, James A. Reggia. Plasticity-Induced Symmetry Relationships Between Adjacent Self-Organizing Topographic Maps
3444 -- 3459Wei Lin. Asymptotic Behavior of Periodic Cohen-Grossberg Neural Networks with Delays
3460 -- 3486Mingjie Zhao, Herbert Jaeger, Michael Thon. Making the Error-Controlling Algorithm of Observable Operator Models Constructive
3487 -- 3518Cesar F. Caiafa, Andrzej Cichocki. Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP
3519 -- 3531Shengli Xie, GuoXu Zhou, Zuyuan Yang, Yuli Fu. On Blind Separability Based on the Temporal Predictability Method
3532 -- 3561Petra Schneider, Michael Biehl, Barbara Hammer. Adaptive Relevance Matrices in Learning Vector Quantization

Volume 21, Issue 11

2991 -- 3009Lucas C. Parra, Jeffrey M. Beck, Anthony J. Bell. On the Maximization of Information Flow Between Spiking Neurons
3010 -- 3056Shai Litvak, Shimon Ullman. Cortical Circuitry Implementing Graphical Models
3057 -- 3078Georgi S. Medvedev. Electrical Coupling Promotes Fidelity of Responses in the Networks of Model Neurons
3079 -- 3105Xuejuan Zhang, Gongqiang You, Tianping Chen, Jianfeng Feng. Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution
3106 -- 3129Massimiliano Giulioni, Mario Pannunzi, Davide Badoni, Vittorio Dante, Paolo Del Giudice. Classification of Correlated Patterns with a Configurable Analog VLSI Neural Network of Spiking Neurons and Self-Regulating Plastic Synapses
3130 -- 3178Muneki Yasuda, Kazuyuki Tanaka. Approximate Learning Algorithm in Boltzmann Machines
3179 -- 3213Su-Yun Huang, Yi-Ren Yeh, Shinto Eguchi. Robust Kernel Principal Component Analysis
3214 -- 3227James Ting-Ho Lo. Adaptive Capability of Recurrent Neural Networks with Fixed Weights for Series-Parallel System Identification
3228 -- 3269Patrick Suppes, Marcos Perreau Guimaraes, Dik Kin Wong. Partial Orders of Similarity Differences Invariant Between EEG-Recorded Brain and Perceptual Representations of Language

Volume 21, Issue 10

2715 -- 2754Vitaly Feldman, Leslie G. Valiant. Experience-Induced Neural Circuits That Achieve High Capacity
2755 -- 2773Yonatan Loewenstein, Drazen Prelec, H. Sebastian Seung. Operant Matching as a Nash Equilibrium of an Intertemporal Game
2774 -- 2804Kresimir Josic, Eric Shea-Brown, Brent Doiron, Jaime de la Rocha. Stimulus-Dependent Correlations and Population Codes
2805 -- 2845Jörg Lücke. Receptive Field Self-Organization in a Model of the Fine Structure in V1 Cortical Columns
2846 -- 2868Veronique Lefebvre, Ying Zheng, Chris Martin, Ian M. Devonshire, Samuel Harris, John E. W. Mayhew. A Dynamic Causal Model of the Coupling Between Pulse Stimulation and Neural Activity
2869 -- 2893Amir Dezfouli, Payam Piray, Mohammad Mahdi Keramati, Hamed Ekhtiari, Caro Lucas, Azarakhsh Mokri. A Neurocomputational Model for Cocaine Addiction
2894 -- 2930Yiwen Wang 0002, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez. Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces
2931 -- 2941Qingguo Zhou, Tao Jin, Hong Zhao. Correlation Between Eigenvalue Spectra and Dynamics of Neural Networks
2942 -- 2969Petra Schneider, Michael Biehl, Barbara Hammer. Distance Learning in Discriminative Vector Quantization
2970 -- 2989Paul C. Kainen, Vera Kurková. An Integral Upper Bound for Neural Network Approximation

Volume 21, Issue 1

9 -- 45Sam McKennoch, Thomas Voegtlin, Linda G. Bushnell. Spike-Timing Error Backpropagation in Theta Neuron Networks
46 -- 100Sami El Boustani, Alain Destexhe. A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States
101 -- 120Dequan Jin, Jigen Peng. A New Approach for Estimating the Attraction Domain for Hopfield-Type Neural Networks
121 -- 146Kai Zhang, James T. Kwok. Density-Weighted Nyström Method for Computing Large Kernel Eigensystems
147 -- 187Olivier D. Faugeras, Romain Veltz, François Grimbert. Persistent Neural States: Stationary Localized Activity Patterns in Nonlinear Continuous ::::n::::-Population, ::::q::::-Dimensional Neural Networks
188 -- 215Romain Brette. Generation of Correlated Spike Trains
216 -- 238Martin Boerlin, Tobi Delbrück, Kynan Eng. Getting to Know Your Neighbors: Unsupervised Learning of Topography from Real-World, Event-Based Input
239 -- 271Dashan Gao, Nuno Vasconcelos. Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics
272 -- 300Arnulf B. A. Graf, Olivier Bousquet, Gunnar Rätsch, Bernhard Schölkopf. Prototype Classification: Insights from Machine Learning