Neural Computation, Volume 16

Volume 16, Number 1, January 2004

• Rajesh P. N. Rao:
  Bayesian Computation in Recurrent Neural Circuits. 1-38
  

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

Volume 16, Number 2, February 2004

• Tatyana Sharpee, Nicole C. Rust, William Bialek:
  Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions. 223-250
  

• Paul H. E. Tiesinga, Terrence J. Sejnowski:
  Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks. 251-275
  
• Riccardo 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. 277-307
  
• Yoichi Miyawaki, Masato Okada:
  A Network Model of Perceptual Suppression Induced by Transcranial Magnetic Stimulation. 309-331
  
• Tzu-Chao Lin, Pao-Ta Yu:
  Adaptive Two-Pass Median Filter Based on Support Vector Machines for Image Restoration. 333-354
  
• Hyeyoung Park, Noboru Murata, Shun-ichi Amari:
  Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC. 355-382
  
• Zhiyong Liu, Kai Chun Chiu, Lei Xu:
  One-Bit-Matching Conjecture for Independent Component Analysis. 383-399
  
• Isabelle Rivals, Léon Personnaz:
  Jacobian Conditioning Analysis for Model Validation. 401-418
  
• Yacine 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. 419-443
  

Volume 16, Number 3, March 2004

• Ohad Ben-Shahar, Steven W. Zucker:
  Geometrical Computations Explain Projection Patterns of Long-Range Horizontal Connections in Visual Cortex. 445-476
  

• Petr Lánský, Roger Rodriguez, Laura Sacerdote:
  Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate. 477-489
  
• Istvan Szita, András Lörincz:
  Kalman Filter Control Embedded into the Reinforcement Learning Framework. 491-499
  

• Jörg Lücke, Christoph von der Malsburg:
  Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn. 501-533
  
• Reiner Schulz, James A. Reggia:
  Temporally Asymmetric Learning Supports Sequence Processing in Multi-Winner Self-Organizing Maps. 535-561
  
• Osamu Hoshino:
  Neuronal Bases of Perceptual Learning Revealed by a Synaptic Balance Scheme. 563-594
  
• Ausra Saudargiene, Bernd Porr, Florentin Wörgötter:
  How the Shape of Pre- and Postsynaptic Signals Can Influence STDP: A Biophysical Model. 595-625
  
• Naoki Masuda, Kazuyuki Aihara:
  Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity. 627-663
  

Volume 16, Number 4, April 2004

• Rick L. Jenison, Richard A. Reale:
  The Shape of Neural Dependence. 665-672
  

• Eric Brown, Jeff Moehlis, Philip Holmes:
  On the Phase Reduction and Response Dynamics of Neural Oscillator Populations. 673-715
  

• José M. Amigó, Janusz Szczepanski, Elek Wajnryb, Maria V. Sanchez-Vives:
  Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity. 717-736
  
• Masami Tatsuno, Masato Okada:
  Investigation of Possible Neural Architectures Underlying Information-Geometric Measures. 737-765
  
• Takashi Takenouchi, Shinto Eguchi:
  Robustifying AdaBoost by Adding the Naive Error Rate. 767-787
  
• Wenxin Jiang:
  Boosting with Noisy Data: Some Views from Statistical Theory. 789-810
  
• Gilles Blanchard:
  Different Paradigms for Choosing Sequential Reweighting Algorithms. 811-836
  
• Tommi Kärkkäinen, Erkki Heikkola:
  Robust Formulations for Training Multilayer Perceptrons. 837-862
  
• Youshen Xia:
  An Extended Projection Neural Network for Constrained Optimization. 863-883
  

Volume 16, Number 5, May 2004

• Anthony 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. 885-94
  
• George N. Reeke Jr., Allan D. Coop:
  Estimating the Temporal Interval Entropy of Neuronal Discharge. 941-970
  
• Uri T. Eden, Loren M. Frank, Riccardo Barbieri, Victor Solo, Emery N. Brown:
  Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering. 971-998
  
• Roberto 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. 999-1012
  
• Thorsten Hansen, Heiko Neumann:
  Neural Mechanisms for the Robust Representation of Junctions. 1013-1037
  
• Christopher K. I. Williams, Michalis K. Titsias:
  Greedy Learning of Multiple Objects in Images Using Robust Statistics and Factorial Learning. 1039-1062
  
• Lorenzo Rosasco, Ernesto De Vito, Andrea Caponnetto, Michele Piana, Alessandro Verri:
  Are Loss Functions All the Same?. 1063-107
  
• Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller:
  Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression. 1077-1104
  

Volume 16, Number 6, June 2004

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

Volume 16, Number 7, July 2004

• Sidney R. Lehky:
  Bayesian Estimation of Stimulus Responses in Poisson Spike Trains. 1325-1343
  
• Xiaomei Liu, Lawrence O. Hall, Kevin W. Bowyer:
  Comments on "A Parallel Mixture of SVMs for Very Large Scale Problems". 1345-1351
  

• Christina M. Weaver, Patrick R. Hof, Susan L. Wearne, W. Brent Lindquist:
  Automated Algorithms for Multiscale Morphometry of Neuronal Dendrites. 1353-1383
  
• Peter E. Latham, Sheila Nirenberg:
  Computing and Stability in Cortical Networks. 1385-1412
  
• Nils Bertschinger, Thomas Natschläger:
  Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks. 1413-1436
  
• Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi:
  Information Geometry of U-Boost and Bregman Divergence. 1437-1481
  
• Juan 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. 1483-1523
  
• Jayanta Basak, Ravi Kothari:
  A Classification Paradigm for Distributed Vertically Partitioned Data. 1525-1544
  

Volume 16, Number 8, August 2004

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

Volume 16, Number 9, September 2004

• Daniel J. Navarro:
  A Note on the Applied Use of MDL Approximations. 1763-1768
  
• Thorsten Thies, Frank Weber:
  Optimal Reduced-Set Vectors for Support Vector Machines with a Quadratic Kernel. 1769-1777
  

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

Volume 16, Number 10, October 2004

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

Volume 16, Number 11, November 2004

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

Volume 16, Number 12, December 2004

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

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