Journal: Neural Computation

Volume 16, Issue 9

1763 -- 1768Daniel J. Navarro. A Note on the Applied Use of MDL Approximations
1769 -- 1777Thorsten Thies, Frank Weber. Optimal Reduced-Set Vectors for Support Vector Machines with a Quadratic Kernel
1779 -- 1810Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari. Stochastic Reasoning, Free Energy, and Information Geometry
1811 -- 1825Erkki Oja, Mark D. Plumbley. Blind Separation of Positive Sources by Globally Convergent Gradient Search
1827 -- 1850Fabian J. Theis. A New Concept for Separability Problems in Blind Source Separation
1851 -- 1872Patrick Byrne, Suzanna Becker. Modeling Mental Navigation in Scenes with Multiple Objects
1873 -- 1886Terence D. Sanger. Failure of Motor Learning for Large Initial Errors
1887 -- 1915Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin. Fair Attribution of Functional Contribution in Artificial and Biological Networks
1917 -- 1942Drazen Domijan. Recurrent Network with Large Representational Capacity
1943 -- 1957Yoshikazu Suemitsu, Shigetoshi Nara. A Solution for Two-Dimensional Mazes with Use of Chaotic Dynamics in a Recurrent Neural Network Model
1959 -- 1981Jayanta Basak. Online Adaptive Decision Trees

Volume 16, Issue 8

1545 -- 1577Yuzhi Chen, Ning Qian. A Coarse-to-Fine Disparity Energy Model with Both Phase-Shift and Position-Shift Receptive Field Mechanisms
1579 -- 1600Eric K. C. Tsang, Bertram Emil Shi. A Preference for Phase-Based Disparity in a Neuromorphic Implementation of the Binocular Energy Model
1601 -- 1640Ramón Huerta, Thomas Nowotny, Marta García-Sánchez, Henry D. I. Abarbanel, Mikhail I. Rabinovich. Learning Classification in the Olfactory System of Insects
1641 -- 1660Ji-Min Ye, Xiao-Long Zhu, Xian-Da Zhang. Adaptive Blind Separation with an Unknown Number of Sources
1661 -- 1687R. Quian Quiroga, Z. Nadasdy, Y. Ben-Shaul. Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering
1689 -- 1704Wei-Chun Kao, Kai-Min Chung, Chia-Liang Sun, Chih-Jen Lin. Decomposition Methods for Linear Support Vector Machines
1705 -- 1719Kazushi Ikeda. An Asymptotic Statistical Theory of Polynomial Kernel Methods
1721 -- 1762De-Shuang Huang, Horace Ho-Shing Ip, Zheru Chi. A Neural Root Finder of Polynomials Based on Root Moments

Volume 16, Issue 7

1325 -- 1343Sidney R. Lehky. Bayesian Estimation of Stimulus Responses in Poisson Spike Trains
1345 -- 1351Xiaomei Liu, Lawrence O. Hall, Kevin W. Bowyer. Comments on A Parallel Mixture of SVMs for Very Large Scale Problems
1353 -- 1383Christina M. Weaver, Patrick R. Hof, Susan L. Wearne, W. Brent Lindquist. Automated Algorithms for Multiscale Morphometry of Neuronal Dendrites
1385 -- 1412Peter E. Latham, Sheila Nirenberg. Computing and Stability in Cortical Networks
1413 -- 1436Nils Bertschinger, Thomas Natschläger. Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks
1437 -- 1481Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi. Information Geometry of U-Boost and Bregman Divergence
1483 -- 1523Juan R. Rabuñal, Julian Dorado, Alejandro Pazos, Javier Pereira, Daniel Rivero. A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP
1525 -- 1544Jayanta Basak, Ravi Kothari. A Classification Paradigm for Distributed Vertically Partitioned Data

Volume 16, Issue 6

1105 -- 1136Maoz Shamir, Haim Sompolinsky. Nonlinear Population Codes
1137 -- 1162Mark S. Goldman. Enhancement of Information Transmission Efficiency by Synaptic Failures
1163 -- 1191Hitoshi Imaoka, Kenji Okajima. An Algorithm for the Detection of Faces on the Basis of Gabor Features and Information Maximization
1193 -- 1234Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari. Analysis of Sparse Representation and Blind Source Separation
1235 -- 1252Deniz Erdogmus, Kenneth E. Hild II, Yadunandana N. Rao, José Carlos Príncipe. Minimax Mutual Information Approach for Independent Component Analysis
1253 -- 1282Miroslaw Galicki, Lutz Leistritz, Ernst Bernhard Zwick, Herbert Witte. Improving Generalization Capabilities of Dynamic Neural Networks
1283 -- 1297Wenming Zheng, Li Zhao, Cairong Zou. A Modified Algorithm for Generalized Discriminant Analysis
1299 -- 1323Tilman Lange, Volker Roth, Mikio L. Braun, Joachim M. Buhmann. Stability-Based Validation of Clustering Solutions

Volume 16, Issue 5

885 -- 94Anthony N. Burkitt, Hamish Meffin, David B. Grayden. Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point
941 -- 970George N. Reeke Jr., Allan D. Coop. Estimating the Temporal Interval Entropy of Neuronal Discharge
971 -- 998Uri T. Eden, Loren M. Frank, Riccardo Barbieri, Victor Solo, Emery N. Brown. Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering
999 -- 1012Roberto Fdez. Galán, Silke Sachse, C. Giovanni Galizia, Andreas V. M. Herz. Odor-Driven Attractor Dynamics in the Antennal Lobe Allow for Simple and Rapid Olfactory Pattern Classification
1013 -- 1037Thorsten Hansen, Heiko Neumann. Neural Mechanisms for the Robust Representation of Junctions
1039 -- 1062Christopher K. I. Williams, Michalis K. Titsias. Greedy Learning of Multiple Objects in Images Using Robust Statistics and Factorial Learning
1063 -- 107Lorenzo Rosasco, Ernesto De Vito, Andrea Caponnetto, Michele Piana, Alessandro Verri. Are Loss Functions All the Same?
1077 -- 1104Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller. Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression

Volume 16, Issue 4

665 -- 672Rick L. Jenison, Richard A. Reale. The Shape of Neural Dependence
673 -- 715Eric Brown 0002, Jeff Moehlis, Philip Holmes. On the Phase Reduction and Response Dynamics of Neural Oscillator Populations
717 -- 736José M. Amigó, Janusz Szczepanski, Elek Wajnryb, Maria V. Sanchez-Vives. Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity
737 -- 765Masami Tatsuno, Masato Okada. Investigation of Possible Neural Architectures Underlying Information-Geometric Measures
767 -- 787Takashi Takenouchi, Shinto Eguchi. Robustifying AdaBoost by Adding the Naive Error Rate
789 -- 810Wenxin Jiang. Boosting with Noisy Data: Some Views from Statistical Theory
811 -- 836Gilles Blanchard. Different Paradigms for Choosing Sequential Reweighting Algorithms
837 -- 862Tommi Kärkkäinen, Erkki Heikkola. Robust Formulations for Training Multilayer Perceptrons
863 -- 883Youshen Xia. An Extended Projection Neural Network for Constrained Optimization

Volume 16, Issue 3

445 -- 476Ohad Ben-Shahar, Steven W. Zucker. Geometrical Computations Explain Projection Patterns of Long-Range Horizontal Connections in Visual Cortex
477 -- 489Petr Lánský, Roger Rodriguez, Laura Sacerdote. Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate
491 -- 499Istvan Szita, András Lörincz. Kalman Filter Control Embedded into the Reinforcement Learning Framework
501 -- 533Jörg Lücke, Christoph von der Malsburg. Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn
535 -- 561Reiner Schulz, James A. Reggia. Temporally Asymmetric Learning Supports Sequence Processing in Multi-Winner Self-Organizing Maps
563 -- 594Osamu Hoshino. Neuronal Bases of Perceptual Learning Revealed by a Synaptic Balance Scheme
595 -- 625Ausra Saudargiene, Bernd Porr, Florentin Wörgötter. How the Shape of Pre- and Postsynaptic Signals Can Influence STDP: A Biophysical Model
627 -- 663. Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity

Volume 16, Issue 2

223 -- 250Tatyana Sharpee, Nicole C. Rust, William Bialek. Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions
251 -- 275Paul H. E. Tiesinga, Terrence J. Sejnowski. Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks
277 -- 307Riccardo Barbieri, Loren M. Frank, David P. Nguyen, Michael C. Quirk, Victor Solo, Matthew A. Wilson, Emery N. Brown. Dynamic Analyses of Information Encoding in Neural Ensembles
309 -- 331Yoichi Miyawaki, Masato Okada. A Network Model of Perceptual Suppression Induced by Transcranial Magnetic Stimulation
333 -- 354Tzu-Chao Lin, Pao-Ta Yu. Adaptive Two-Pass Median Filter Based on Support Vector Machines for Image Restoration
355 -- 382Hyeyoung Park, Noboru Murata, Shun-ichi Amari. Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC
383 -- 399Zhiyong Liu, Kai Chun Chiu, Lei Xu. One-Bit-Matching Conjecture for Independent Component Analysis
401 -- 418Isabelle Rivals, Léon Personnaz. Jacobian Conditioning Analysis for Model Validation
419 -- 443Yacine Oussar, Gaétan Monari, Gérard Dreyfus. Reply to the Comments on Local Overfitting Control via Leverages in Jacobian Conditioning Analysis for Model Validation by I. Rivals and L. Personnaz

Volume 16, Issue 12

2483 -- 2506Susanne Still, William Bialek. How Many Clusters? An Information-Theoretic Perspective
2507 -- 2532Chun-Hui Mo, Ming Gu, Christof Koch. A Learning Rule for Local Synaptic Interactions Between Excitation and Shunting Inhibition
2533 -- 2561Liam Paninski, Jonathan Pillow, Eero P. Simoncelli. Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model
2563 -- 2575Ingo J. Wundrich, Christoph von der Malsburg, Rolf P. Würtz. Image Representation by Complex Cell Responses
2577 -- 2595Erez Persi, David Horn, Vladislav Volman, Ronen Segev, Eshel Ben-Jacob. Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity
2597 -- 2637Emanuele Curti, Gianluigi Mongillo, Giancarlo La Camera, Daniel J. Amit. Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories
2639 -- 2664David R. Hardoon, Sándor Szedmák, John Shawe-Taylor. Canonical Correlation Analysis: An Overview with Application to Learning Methods
2665 -- 2697Hiroaki Wagatsuma, Yoko Yamaguchi. Cognitive Map Formation Through Sequence Encoding by Theta Phase Precession
2699 -- 2713Su Lee Goh, Danilo P. Mandic. A Complex-Valued RTRL Algorithm for Recurrent Neural Networks

Volume 16, Issue 11

2221 -- 2243Geoffrey J. Goodhill, Ming Gu, Jeffrey S. Urbach. Predicting Axonal Response to Molecular Gradients with a Computational Model of Filopodial Dynamic
2245 -- 2260Matthias O. Franz, Javaan S. Chahl, Holger G. Krapp. Insect-Inspired Estimation of Egomotion
2261 -- 2291Garrett T. Kenyon, James Theiler, John S. George, Bryan J. Travis, David W. Marshak. Correlated Firing Improves Stimulus Discrimination in a Retinal Model
2293 -- 2321Muhua Li, James J. Clark. A Temporal Stability Approach to Position and Attention-Shift-Invariant Recognition
2323 -- 2349Valérie Ventura. Testing for and Estimating Latency Effects for Poisson and Non-Poisson Spike Trains
2351 -- 2378Andrea Benucci, Paul F. M. J. Verschure, Peter König. Two-State Membrane Potential Fluctuations Driven by Weak Pairwise Correlations
2379 -- 2413Tom Heskes. On the Uniqueness of Loopy Belief Propagation Fixed Points
2415 -- 2458F. Aires, C. Prigent, W. B. Rossow. Neural Network Uncertainty Assessment Using Bayesian Statistics: A Remote Sensing Application
2459 -- 2481Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, José Muñoz-Pérez, José Antonio Gómez-Ruiz. Principal Components Analysis Competitive Learning

Volume 16, Issue 10

1983 -- 2020Jenny C. A. Read, Bruce G. Cumming. Understanding the Cortical Specialization for Horizontal Disparity
2021 -- 2040Hirokazu Tanaka, Meihua Tai, Ning Qian. Different Predictions by the Minimum Variance and Minimum Torque-Change Models on the Skewness of Movement Velocity Profiles
2041 -- 2066Pierre Bayerl, Heiko Neumann. Disambiguating Visual Motion Through Contextual Feedback Modulation
2067 -- 2078Dmitri B. Chklovskii. Exact Solution for the Optimal Neuronal Layout Problem
2079 -- 2100Philipp Knüsel, Reto Wyss, Peter König, Paul F. M. J. Verschure. Decoding a Temporal Population Code
2101 -- 2124Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Walter Senn, Stefano Fusi. Minimal Models of Adapted Neuronal Response to In Vivo-Like Input Currents
2125 -- 2195B. Scott Jackson. Including Long-Range Dependence in Integrate-and-Fire Models of the High Interspike-Interval Variability of Cortical Neurons
2197 -- 2219Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet. Learning Eigenfunctions Links Spectral Embedding and Kernel PCA

Volume 16, Issue 1

1 -- 38Rajesh P. N. Rao. Bayesian Computation in Recurrent Neural Circuits
39 -- 58Burak Güçlü, Stanley J. Bolanowski. Probability of Stimulus Detection in a Model Population of Rapidly Adapting Fibers
59 -- 71A. Vahed, Christian W. Omlin. A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks
73 -- 97Tohru Nitta. Orthogonality of Decision Boundaries in Complex-Valued Neural Networks
99 -- 114Taichi Hayasaka, Masashi Kitahara, Shiro Usui. On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models
115 -- 137Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller. Asymptotic Properties of the Fisher Kernel
139 -- 157Rob Smithies, Said Salhi, Nat Queen. Adaptive Hybrid Learning for Neural Networks
159 -- 195Jun Zhang. Divergence Function, Duality, and Convex Analysis
197 -- 221Max Welling, Yee Whye Teh. Linear Response Algorithms for Approximate Inference in Graphical Models