Neural Computation, Volume 14

Volume 14, Number 1, January 2002

• Mladen I. Glavinovic:
  Mechanisms Shaping Fast Excitatory Postsynaptic Currents in the Central Nervous System. 1-19
  

• Marco Saerens, Patrice Latinne, Christine Decaestecker:
  Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure. 21-41
  

• Sonja Grün, Markus Diesmann, Ad Aertsen:
  Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance. 43-80
  
• Sonja Grün, Markus Diesmann, Ad Aertsen:
  Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data. 81-119
  
• Robert Gütig, Ad Aertsen, Stefan Rotter:
  Statistical Significance of Coincident Spikes: Count-Based Versus Rate-Based Statistics. 121-153
  
• Stefan D. Wilke, Christian W. Eurich:
  Representational Accuracy of Stochastic Neural Populations. 155-189
  
• Nikos A. Vlassis, Yoichi Motomura, Ben J. A. Kröse:
  Supervised Dimension Reduction of Intrinsically Low-Dimensional Data. 191-215
  
• Janne Sinkkonen, Samuel Kaski:
  Clustering Based on Conditional Distributions in an Auxiliary Space. 217-239
  

Volume 14, Number 2, February 2002

• Michael Schmitt:
  On the Complexity of Computing and Learning with Multiplicative Neural Networks. 241-301
  

• Chuangyin Dang, Lei Xu:
  A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem. 303-324
  
• Emery N. Brown, Riccardo Barbieri, Valérie Ventura, Robert E. Kass, Loren M. Frank:
  The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis. 325-346
  

• Amit Manwani, Peter N. Steinmetz, Christof Koch:
  The Impact of Spike Timing Variability on the Signal-Encoding Performance of Neural Spiking Models. 347-367
  
• Carsten Meyer, Carl van Vreeswijk:
  Temporal Correlations in Stochastic Networks of Spiking Neurons. 369-404
  
• Michele Bezzi, Inés Samengo, Stefan Leutgeb, Sheri J. Mizumori:
  Measuring Information Spatial Densities. 405-420
  
• Magnus Rattray:
  Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis. 421-435
  
• Alessio Plebe, Angelo Marcello Anile:
  A Neural-Network-Based Approach to the Double Traveling Salesman Problem. 437-471
  

Volume 14, Number 3, March 2002

• Paul C. Bressloff, Jack D. Cowan, Martin Golubitsky, Peter J. Thomas, Matthew C. Wiener:
  What Geometric Visual Hallucinations Tell Us about the Visual Cortex. 473-491
  

• Paul C. Bressloff, Jack D. Cowan:
  An Amplitude Equation Approach to Contextual Effects in Visual Cortex. 493-525
  
• Allan Gottschalk:
  Derivation of the Visual Contrast Response Function by Maximizing Information Rate. 527-542
  
• Norberto M. Grzywacz, Rosario M. Balboa:
  A Bayesian Framework for Sensory Adaptation. 543-559
  
• Adam L. Taylor, Garrison W. Cottrell, William B. Kristan Jr.:
  Analysis of Oscillations in a Reciprocally Inhibitory Network with Synaptic Depression. 561-581
  
• Walter Senn, Martin Schneider, Berthold Ruf:
  Activity-Dependent Development of Axonal and Dendritic Delays, or, Why Synaptic Transmission Should Be Unreliable. 583-619
  
• Jianfeng Feng, Guibin Li:
  Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis. 621-640
  
• Lehel Csató, Manfred Opper:
  Sparse On-Line Gaussian Processes. 641-668
  
• Mark Girolami:
  Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem. 669-688
  
• Jiann-Ming Wu:
  Natural Discriminant Analysis Using Interactive Potts Models. 689-713
  

Volume 14, Number 4, April 2002

• Laurenz Wiskott, Terrence J. Sejnowski:
  Slow Feature Analysis: Unsupervised Learning of Invariances. 715-770
  

• Inés Samengo:
  Information Loss in an Optimal Maximum Likelihood Decoding. 771-779
  
• Khashayar Pakdaman:
  The Reliability of the Stochastic Active Rotator. 781-792
  

• Michael E. Hasselmo, Clara Bodelón, Bradley P. Wyble:
  A Proposed Function for Hippocampal Theta Rhythm: Separate Phases of Encoding and Retrieval Enhance Reversal of Prior Learning. 793-817
  
• Hiroyuki Nakahara, Shun-ichi Amari, Okihide Hikosaka:
  Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals. 819-844
  
• Pierre Baraduc, Emmanuel Guigon:
  Population Computation of Vectorial Transformations. 845-871
  
• Gail A. Carpenter, Boriana L. Milenova:
  Redistribution of Synaptic Efficacy Supports Stable Pattern Learning in Neural Networks. 873-888
  
• Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen:
  Mean-Field Approaches to Independent Component Analysis. 889-918
  
• Michael Schmitt:
  Neural Networks with Local Receptive Fields and Superlinear VC Dimension. 919-956
  

Volume 14, Number 5, May 2002

• A. R. R. Casti, A. Omurtag, A. Sornborger, E. Kaplan, Bruce W. Knight, J. Victor, L. Sirovich:
  A Population Study of Integrate-and-Fire-or-Burst Neurons. 957-986
  

• Werner M. Kistler, Wulfram Gerstner:
  Stable Propagation of Activity Pulses in Populations of Spiking Neurons. 987-997
  

• Si Wu, Shun-ichi Amari, Hiroyuki Nakahara:
  Population Coding and Decoding in a Neural Field: A Computational Study. 999-1026
  
• Sorinel Adrian Oprisan, Carmen C. Canavier:
  The Influence of Limit Cycle Topology on the Phase Resetting Curve. 1027-1057
  
• Philip R. Van Loocke:
  Fields as Limit Functions of Stochastic Discrimination and Their Adaptability. 1059-1070
  
• Dan Roth, Ming-Hsuan Yang, Narendra Ahuja:
  Learning to Recognize Three-Dimensional Objects. 1071-1103
  
• Ronan Collobert, Samy Bengio, Yoshua Bengio:
  A Parallel Mixture of SVMs for Very Large Scale Problems. 1105-1114
  
• Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle:
  Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis. 1115-1147
  
• Donald E. Duckro, Dennis W. Quinn, Samuel J. Gardner III:
  Neural Network Pruning with Tukey-Kramer Multiple Comparison Procedure. 1149-1168
  
• Christopher K. I. Williams, Felix V. Agakov:
  Products of Gaussians and Probabilistic Minor Component Analysis. 1169-1182
  
• Ingo Galleske, Juan Castellanos:
  Optimization of the Kernel Functions in a Probabilistic Neural Network Analyzing the Local Pattern Distribution. 1183-1194
  
• Douglas L. T. Rohde:
  Methods for Binary Multidimensional Scaling. 1195-1232
  

Volume 14, Number 6, June 2002

• Emanuel Todorov:
  Cosine Tuning Minimizes Motor Errors. 1233-1260
  

• Akihiro Minagawa, Norio Tagawa, Toshiyuki Tanaka:
  SMEM Algorithm Is Not Fully Compatible with Maximum-Likelihood Framework. 1261-1266
  
• Shuo-Peng Liao, Hsuan-Tien Lin, Chih-Jen Lin:
  A Note on the Decomposition Methods for Support Vector Regression. 1267-1281
  

• Ingrid Y. Y. Koh, W. Brent Lindquist, Karen Zito, Esther A. Nimchinsky, Karel Svoboda:
  An Image Analysis Algorithm for Dendritic Spines. 1283-1310
  
• Terry Elliott, Nigel Shadbolt:
  Multiplicative Synaptic Normalization and a Nonlinear Hebb Rule Underlie a Neurotrophic Model of Competitive Synaptic Plasticity. 1311-1322
  
• Susanne Schreiber, Christian K. Machens, Andreas V. M. Herz, Simon B. Laughlin:
  Energy-Efficient Coding with Discrete Stochastic Events. 1323-1346
  
• Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato:
  Multiple Model-Based Reinforcement Learning. 1347-1369
  
• Jenny C. A. Read:
  A Bayesian Approach to the Stereo Correspondence Problem. 1371-1392
  
• Peter Sollich, Anason Halees:
  Learning Curves for Gaussian Process Regression: Approximations and Bounds. 1393-1428
  
• Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
  A Global Optimum Approach for One-Layer Neural Networks. 1429-1449
  
• Tommi Kärkkäinen:
  MLP in Layer-Wise Form with Applications to Weight Decay. 1451-1480
  
• Gaétan Monari, Gérard Dreyfus:
  Local Overfitting Control via Leverages. 1481-1506
  

Volume 14, Number 7, July 2002

• Javier R. Movellan, Paul Mineiro, Ruth J. Williams:
  A Monte Carlo EM Approach for Partially Observable Diffusion Processes: Theory and Applications to Neural Networks. 1507-1544
  

• Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill:
  Are Visual Cortex Maps Optimized for Coverage? 1545-1560
  
• Marc M. Van Hulle:
  Kernel-Based Topographic Map Formation by Local Density Modeling. 1561-1573
  

• Relly Brandman, Mark E. Nelson:
  A Simple Model of Long-Term Spike Train Regularization. 1575-1597
  
• Naoki Masuda, Kazuyuki Aihara:
  Spatiotemporal Spike Encoding of a Continuous External Signal. 1599-1628
  
• Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski:
  Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains. 1629-1650
  
• Daniel Cremers, Andreas V. M. Herz:
  Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics. 1651-1667
  
• Richard H. R. Hahnloser, Rodney J. Douglas, Klaus Hepp:
  Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control. 1669-1689
  
• Alan L. Yuille:
  CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation. 1691-1722
  
• Nicol N. Schraudolph:
  Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent. 1723-1738
  
• Antony Browne:
  Representation and Extrapolation in Multilayer Perceptrons. 1739-1754
  
• Robert M. French, Nick Chater:
  Using Noise to Compute Error Surfaces in Connectionist Networks: A Novel Means of Reducing Catastrophic Forgetting. 1755-1769
  

Volume 14, Number 8, August 2002

• Geoffrey E. Hinton:
  Training Products of Experts by Minimizing Contrastive Divergence. 1771-1800
  

• Thomas Wennekers:
  Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models. 1801-1825
  
• Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung, Bethany C. Reeb:
  Independent Components of Magnetoencephalography: Localization. 1827-1858
  
• Mihoko Minami, Shinto Eguchi:
  Robust Blind Source Separation by Beta Divergence. 1859-1886
  
• Marc M. Van Hulle:
  Joint Entropy Maximization in Kernel-Based Topographic Maps. 1887-190
  
• Alex Aussem:
  Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks. 1907-1927
  
• James M. Coughlan, Alan L. Yuille:
  Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking. 1929-1958
  
• Chih-Chung Chang, Chih-Jen Lin:
  Training v -Support Vector Regression: Theory and Algorithms. 1959-1977
  
• Katsuyuki Hagiwara:
  On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario. 1979-2002
  

Volume 14, Number 9, September 2002

• Rahul Sarpeshkar, Micah O'Halloran:
  Scalable Hybrid Computation with Spikes. 2003-2038
  

• Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
  Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM. 2039-2041
  
• Boonyanit Mathayomchan, Randall D. Beer:
  Center-Crossing Recurrent Neural Networks for the Evolution of Rhythmic Behavior. 2043-2051
  
• Nicholas V. Swindale, Doron Shoham, Amiram Grinvald, Tobias Bonhoeffer, Mark Hübener:
  Reply to Carreira-Perpiñán and Goodhill. 2053-2056
  

• Nicolas Fourcaud, Nicolas Brunel:
  Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons. 2057-2110
  
• Emilio Salinas, Terrence J. Sejnowski:
  Integrate-and-Fire Neurons Driven by Correlated Stochastic Input. 2111-2155
  
• Michael W. Spratling, M. H. Johnson:
  Preintegration Lateral Inhibition Enhances Unsupervised Learning. 2157-2179
  
• Mattias F. Karlsson, John W. C. Robinson:
  On Optimality in Auditory Information Processing. 2181-2200
  
• Nestor Caticha, J. E. Palo Tejada, Doron Lancet, Eytan Domany:
  Computational Capacity of an Odorant Discriminator: The Linear Separability of Curves. 2201-2220
  
• Michalis K. Titsias, Aristidis Likas:
  Mixture of Experts Classification Using a Hierarchical Mixture Model. 2221-2244
  
• Stephen Jose Hanson, Michiro Negishi:
  On the Emergence of Rules in Neural Networks. 2245-2268
  

Volume 14, Number 10, October 2002

• Hiroyuki Nakahara, Shun-ichi Amari:
  Information-Geometric Measure for Neural Spikes. 2269-2316
  

• Matthias Bethge, David Rotermund, Klaus Pawelzik:
  Optimal Short-Term Population Coding: When Fisher Information Fails. 2317-2351
  
• Terry Elliott, Jörg Kramer:
  Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography. 2353-2370
  
• Silvia Scarpetta, Zhaoping Li, John A. Hertz:
  Hebbian Imprinting and Retrieval in Oscillatory Neural Networks. 2371-2396
  
• Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller:
  A New Discriminative Kernel from Probabilistic Models. 2397-2414
  
• Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner:
  Factorial Hidden Markov Models and the Generalized Backfitting Algorithm. 2415-2437
  
• Aki Vehtari, Jouko Lampinen:
  Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities. 2439-2468
  
• Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori:
  Robust Regression with Asymmetric Heavy-Tail Noise Distributions. 2469-2496
  
• Paul E. Utgoff, David J. Stracuzzi:
  Many-Layered Learning. 2497-2529
  

Volume 14, Number 11, November 2002

• Wolfgang Maass, Thomas Natschläger, Henry Markram:
  Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations. 2531-2560
  

• Andrew D. Back, Tianping Chen:
  Universal Approximation of Multiple Nonlinear Operators by Neural Networks. 2561-2566
  

• Nathaniel D. Daw, David S. Touretzky:
  Long-Term Reward Prediction in TD Models of the Dopamine System. 2567-2583
  
• Simon M. Stringer, Edmund T. Rolls:
  Invariant Object Recognition in the Visual System with Novel Views of 3D Objects. 2585-2596
  
• Werner M. Kistler, Chris I. De Zeeuw:
  Dynamical Working Memory and Timed Responses: The Role of Reverberating Loops in the Olivo-Cerebellar System. 2597-2626
  
• Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung:
  Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition. 2627-2646
  
• Harri Valpola, Juha Karhunen:
  An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models. 2647-2692
  
• Danilo P. Mandic:
  Data-Reusing Recurrent Neural Adaptive Filters. 2693-2707
  
• Jirí Síma:
  Training a Single Sigmoidal Neuron Is Hard. 2709-2728
  
• P. S. Sastry, M. Magesh, K. P. Unnikrishnan:
  Two Timescale Analysis of the Alopex Algorithm for Optimization. 2729-2750
  
• Siu-Yeung Cho, Tommy W. S. Chow:
  A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method. 2751-2789
  

Volume 14, Number 12, December 2002

• Zhe Chen, Simon Haykin:
  On Different Facets of Regularization Theory. 2791-2846
  

• Simone Fiori:
  Notes on Bell-Sejnowski PDF-Matching Neuron. 2847-285
  

• Angela J. Yu, Martin A. Giese, Tomaso Poggio:
  Biophysiologically Plausible Implementations of the Maximum Operation. 2857-2881
  
• Narihisa Matsumoto, Masato Okada:
  Self-Regulation Mechanism of Temporally Asymmetric Hebbian Plasticity. 2883-2902
  
• Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen, Stan C. A. M. Gielen:
  Associative Memory with Dynamic Synapses. 2903-2923
  
• Garrett B. Stanley:
  Adaptive Spatiotemporal Receptive Field Estimation in the Visual Pathway. 2925-2946
  
• Tianping Chen, Wenlian Lu, Shun-ichi Amari:
  Global Convergence Rate of Recurrently Connected Neural Networks. 2947-2957
  
• Nihat Ay:
  Locality of Global Stochastic Interaction in Directed Acyclic Networks. 2959-2980
  
• Masahiro Kimura:
  On Unique Representations of Certain Dynamical Systems Produced by Continuous-Time Recurrent Neural Networks. 2981-2996
  
• Michael Schmitt:
  Descartes' Rule of Signs for Radial Basis Function Neural Networks. 2997-3011
  
• Tong Zhang:
  Approximation Bounds for Some Sparse Kernel Regression Algorithms. 3013-3042