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ORCIDNeural 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 G. Smithies, Saïd 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 O. 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, Julián 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 - Rodrigo Quian Quiroga, Zoltan Nadasdy, Yoram 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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