Journal: Neural Computation

Volume 13, Issue 9

1923 -- 1974Julian Eggert, J. Leo van Hemmen. Modeling Neuronal Assemblies: Theory and Implementation
1975 -- 1994Junbin Gao, Chris J. Harris, Steve R. Gunn. On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces
1995 -- 2003Allan Kardec Barros, Andrzej Cichocki. Extraction of Specific Signals with Temporal Structure
2005 -- 2029Sybert Stroeve, Stan C. A. M. Gielen. Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing
2031 -- 2047Hiroyuki Nakahara, Si Wu, Shun-ichi Amari. Attention Modulation of Neural Tuning Through Peak and Base Rate
2049 -- 2074Jochen Triesch, Christoph von der Malsburg. Democratic Integration: Self-Organized Integration of Adaptive Cues
2075 -- 2092Daniel S. Rizzuto, Michael J. Kahana. An Autoassociative Neural Network Model of Paired-Associate Learning
2093 -- 2118Paul Rodriguez. Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting
2119 -- 2147Chih-Chung Chang, Chih-Jen Lin. Training nu-Support Vector Classifiers: Theory and Algorithms
2149 -- 2171Martijn A. R. Leisink, Hilbert J. Kappen. A Tighter Bound for Graphical Models

Volume 13, Issue 8

1683 -- 1711Lance R. Williams, Karvel K. Thornber. Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape
1713 -- 1720Robert E. Kass, Valérie Ventura. A Spike-Train Probability Model
1721 -- 1747Thomas Wennekers. Orientation Tuning Properties of Simple Cells in Area V1 Derived from an Approximate Analysis of Nonlinear Neural Field Models
1749 -- 1780Zhaoping Li. Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex
1781 -- 1810Osamu Hoshino, Satoru Inoue, Yoshiki Kashimori, Takeshi Kambara. A Hierarchical Dynamical Map as a Basic Frame for Cortical Mapping and Its Application to Priming
1811 -- 1825Heiko Wersing, Wolf-Jürgen Beyn, Helge Ritter. Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions
1827 -- 1838Henrik Jönsson, Bo Söderberg. An Information-Based Neural Approach to Constraint Satisfaction
1839 -- 1861S. Mendelson, I. Nelken. Recurrence Methods in the Analysis of Learning Processes
1863 -- 1889Masashi Sugiyama, Hidemitsu Ogawa. Subspace Information Criterion for Model Selection
1891 -- 1920C. Buzzi, L. Grippo, M. Sciandrone. Convergent Decomposition Techniques for Training RBF Neural Networks

Volume 13, Issue 7

1443 -- 1471Bernhard Schölkopf, John C. Platt, John Shawe-Taylor, Alex J. Smola, Robert C. Williamson. Estimating the Support of a High-Dimensional Distribution
1473 -- 1494Carlo R. Laing, Carson C. Chow. Stationary Bumps in Networks of Spiking Neurons
1495 -- 1525Saumil S. Patel, Bai-Chuan Jiang, Haluk Ögmen. Vergence Dynamics Predict Fixation Disparity
1527 -- 1558Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki. Topographic Independent Component Analysis
1559 -- 1574James V. Stone. Blind Source Separation Using Temporal Predictability
1575 -- 1602Brian Sagi, Syrus C. Nemat-Nasser, Rex Kerr, Raja Hayek, Christopher Downing, Robert Hecht-Nielsen. A Biologically Motivated Solution to the Cocktail Party Problem
1603 -- 1623Wenjia Wang, Phillis Jones, Derek Partridge. A Comparative Study of Feature-Salience Ranking Techniques
1625 -- 1647Simone Fiori. A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold
1649 -- 1681Masa-aki Sato. Online Model Selection Based on the Variational Bayes

Volume 13, Issue 6

1199 -- 1241Randall C. O Reilly. Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning
1243 -- 1253Rajesh P. N. Rao, David M. Eagleman, Terrence J. Sejnowski. Optimal Smoothing in Visual Motion Perception
1255 -- 1283Rufin van Rullen, Simon J. Thorpe. Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex
1285 -- 1310Bard Ermentrout, Matthew Pascal, Boris S. Gutkin. The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators
1311 -- 1349Stefano Panzeri, Simon R. Schultz. A Unified Approach to the Study of Temporal, Correlational, and Rate Coding
1351 -- 1377Stuart N. Baker, George L. Gerstein. Determination of Response Latency and Its Application to Normalization of Cross-Correlation Measures
1379 -- 1414Peter Tiño, Bill G. Horne, C. Lee Giles. Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks)
1415 -- 1442Yali Amit, Massimo Mascaro. Attractor Networks for Shape Recognition

Volume 13, Issue 5

959 -- 992Carl van Vreeswijk, David Hansel. Patterns of Synchrony in Neural Networks with Spike Adaptation
993 -- 1002Akio Utsugi, Toru Kumagai. Bayesian Analysis of Mixtures of Factor Analyzers
1003 -- 1021Jeffrey J. Fox, Ciriyam Jayaprakash, DeLiang L. Wang, Shannon R. Campbell. Synchronization in Relaxation Oscillator Networks with Conduction Delays
1023 -- 1043Chris J. S. Webber. Predictions of the Spontaneous Symmetry-Breaking Theory for Visual Code Completeness and Spatial Scaling in Single-Cell Learning Rules
1045 -- 1064Richard S. Zemel, Michael Mozer. Localist Attractor Networks
1065 -- 1102Wolfgang Utschick, Werner Weichselberger. Stochastic Organization of Output Codes in Multiclass Learning Problems
1103 -- 1118S. Sundararajan, S. Sathiya Keerthi. Predictive Approaches for Choosing Hyperparameters in Gaussian Processes
1119 -- 1135Vicente Ruiz de Angulo, Carme Torras. Architecture-Independent Approximation of Functions
1137 -- 1170Edward Kei Shiu Ho, Lai-Wan Chan. Analyzing Holistic Parsers: Implications for Robust Parsing and Systematicity
1171 -- 1198Richard Shillcock, Padraic Monaghan. The Computational Exploration of Visual Word Recognition in a Split Model

Volume 13, Issue 4

751 -- 763Mark C. W. van Rossum. A Novel Spike Distance
765 -- 774L. Neltner, David Hansel. On Synchrony of Weakly Coupled Neurons at Low Firing Rate
775 -- 797Si Wu, Hiroyuki Nakahara, Shun-ichi Amari. Population Coding with Correlation and an Unfaithful Model
799 -- 815Vijay Balasubramanian, Don Kimber, Michael J. Berry II. Metabolically Efficient Information Processing
817 -- 840Gal Chechik, Isaac Meilijson, Eytan Ruppin. Effective Neuronal Learning with Ineffective Hebbian Learning Rules
841 -- 862Roland E. Suri, Wolfram Schultz. Temporal Difference Model Reproduces Anticipatory Neural Activity
863 -- 882Michael Zibulevsky, Barak A. Pearlmutter. Blind Source Separation by Sparse Decomposition in a Signal Dictionary
883 -- 898Aapo Hyvärinen. Complexity Pursuit: Separating Interesting Components from Time Series
899 -- 933Sumio Watanabe. Algebraic Analysis for Nonidentifiable Learning Machines
935 -- 957Shahar Mendelson. A New On-Line Learning Model

Volume 13, Issue 3

477 -- 504A. R. Gardner-Medwin, H. B. Barlow. The Limits of Counting Accuracy in Distributed Neural Representations
505 -- 510Roman Rosipal, Mark Girolami. An Expectation-Maximization Approach to Nonlinear Component Analysis
511 -- 546Duane Q. Nykamp, Daniel Tranchina. A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses
547 -- 562Kenji Okajima, Hitoshi Imaoka. A Complex Cell-Like Receptive Field Obtained by Information Maximization
563 -- 593James R. Williamson. Self-Organization of Topographic Mixture Networks Using Attentional Feedback
595 -- 619Karin Haese, Geoffrey J. Goodhill. Auto-SOM: Recursive Parameter Estimation for Guidance of Self-Organizing Feature Maps
621 -- 635Tianping Chen, Shun-ichi Amari. Exponential Convergence of Delayed Dynamical Systems
637 -- 649S. Sathiya Keerthi, Shirish Krishnaj Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy. Improvements to Platt s SMO Algorithm for SVM Classifier Design
651 -- 676Jayanta Basak. Learning Hough Transform: A Neural Network Model
677 -- 689Max Welling, Markus Weber. A Constrained EM Algorithm for Independent Component Analysis
691 -- 716Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin. Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents

Volume 13, Issue 2

249 -- 306Stefan C. Kremer. Spatiotemporal Connectionist Networks: A Taxonomy and Review
307 -- 317Chih-Jen Lin. Formulations of Support Vector Machines: A Note from an Optimization Point of View
319 -- 326Hon-Kwok Fung, Leong Kwan Li. Minimal Feedforward Parity Networks Using Threshold Gates
327 -- 355Ulrich Hillenbrand, J. Leo van Hemmen. Does Corticothalamic Feedback Control Cortical Velocity Tuning?
357 -- 387Heiko Wersing, Jochen J. Steil, Helge Ritter. A Competitive-Layer Model for Feature Binding and Sensory Segmentation
389 -- 410Norbert Krüger. Learning Object Representations Using A Priori Constraints Within ORASSYLL
411 -- 452Dmitri A. Rachkovskij, Ernst M. Kussul. Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning
453 -- 475Peter Meinicke, Helge Ritter. Resolution-Based Complexity Control for Gaussian Mixture Models

Volume 13, Issue 12

2639 -- 2672Anthony N. Burkitt, Graeme M. Clark. Synchronization of the Neural Response to Noisy Periodic Synaptic Input
2673 -- 2680Laurisete dos Santos Camargo, Takashi Yoneyama. Specification of Training Sets and the Number of Hidden Neurons for Multilayer Perceptrons
2681 -- 2708Itay Gat, Naftali Tishby. Spotting Neural Spike Patterns Using an Adversary Background Model
2709 -- 2741Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen. Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning
2743 -- 2761Ole Jensen. Information Transfer Between Rhythmically Coupled Networks: Reading the Hippocampal Phase Code
2763 -- 2797Ken-ichi Amemori, Shin Ishii. Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs
2799 -- 2822Osamu Araki, Kazuyuki Aihara. Dual Information Representation with Stable Firing Rates and Chaotic Spatiotemporal Spike Patterns in a Neural Network Model
2823 -- 2849Konrad P. Körding, Peter König. Neurons with Two Sites of Synaptic Integration Learn Invariant Representations
2851 -- 2863Masaki Ishii, Itsuo Kumazawa. Linear Constraints on Weight Representation for Generalized Learning of Multilayer Networks
2865 -- 2877Rudy Setiono. Feedforward Neural Network Construction Using Cross Validation

Volume 13, Issue 11

2409 -- 2463William Bialek, Ilya Nemenman, Naftali Tishby. Predictability, Complexity, and Learning
2465 -- 2476K. A. Lindsay, J. M. Ogden, J. R. Rosenberg. Dendritic Subunits Determined by Dendritic Morphology
2477 -- 2494Thomas Natschläger, Wolfgang Maass. Computing the Optimally Fitted Spike Train for a Synapse
2495 -- 2516Francisco de Borja Rodríguez Ortiz, Alberto Suárez, Vicente López. Period Focusing Induced by Network Feedback in Populations of Noisy Integrate-and-Fire Neurons
2517 -- 2532Mark Girolami. A Variational Method for Learning Sparse and Overcomplete Representations
2533 -- 2548Yoram Baram. Random Embedding Machines for Pattern Recognition
2549 -- 2572Mark Zlochin, Yoram Baram. Manifold Stochastic Dynamics for Bayesian Learning
2573 -- 2593Erel Levine, Eytan Domany. Resampling Method for Unsupervised Estimation of Cluster Validity
2595 -- 2616D. S. Broomhead, M. J. Kirby. The Whitney Reduction Network: A Method for Computing Autoassociative Graphs
2617 -- 263Siu-Yeung Cho, Tommy W. S. Chow. Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model

Volume 13, Issue 10

2173 -- 2200Yair Weiss, William T. Freeman. Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology
2201 -- 2220Masahiko Haruno, Daniel M. Wolpert, Mitsuo Kawato. MOSAIC Model for Sensorimotor Learning and Control
2221 -- 2237Rajesh P. N. Rao, Terrence J. Sejnowski. Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning
2239 -- 2271Rajanikanth Vadigepalli, Francis J. Doyle III, James S. Schwaber. Analysis and Neuronal Modeling of the Nonlinear Characteristics of a Local Cardiac Reflex in the Rat
2273 -- 2316Michael G. Heinz, H. Steven Colburn, Laurel H. Carney. Evaluating Auditory Performance Limits: I. One-Parameter Discrimination Using a Computational Model for the Auditory Nerve
2317 -- 2338Michael G. Heinz, H. Steven Colburn, Laurel H. Carney. Evaluating Auditory Performance Limits: II. One-Parameter Discrimination with Random-Level Variation
2339 -- 2357Visa Koivunen, Mihai Enescu, Erkki Oja. Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures
2359 -- 2407Christophe Andrieu, Nando de Freitas, Arnaud Doucet. Robust Full Bayesian Learning for Radial Basis Networks

Volume 13, Issue 1

1 -- 33Amit Manwani, Christof Koch. Detecting and Estimating Signals over Noisy and Unreliable Synapses: Information-Theoretic Analysis
35 -- 67Walter Senn, Henry Markram, Misha Tsodyks. An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing
69 -- 85Richard Bertram. Differential Filtering of Two Presynaptic Depression Mechanisms
87 -- 111John M. Beggs. A Statistical Theory of Long-Term Potentiation and Depression
113 -- 137L. Niels Cornelisse, Wim J. J. M. Scheenen, Werner J. H. Koopman, Eric W. Roubos, Stan C. A. M. Gielen. Minimal Model for Intracellular Calcium Oscillations and Electrical Bursting in Melanotrope Cells of Xenopus Laevis
139 -- 159Katrin Suder, Florentin Wörgötter, Thomas Wennekers. Neural Field Model of Receptive Field Restructuring in Primary Visual Cortex
161 -- 193Arunava Banerjee. On the Phase-Space Dynamics of Systems of Spiking Neurons. I: Model and Experiments
195 -- 225Arunava Banerjee. On the Phase-Space Dynamics of Systems of Spiking Neurons. II: Formal Analysis
227 -- 248Brent Doiron, André Longtin, Neil Berman, Leonard Maler. Subtractive and Divisive Inhibition: Effect of Voltage-Dependent Inhibitory Conductances and Noise