External Links

    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
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