Neural Computation, Volume 15

Volume 15, Number 1, January 2003

• David Hansel, Germán Mato:
  Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory Neurons. 1-56
  

• Jong-Hoon Ahn, Jong-Hoon Oh:
  A Constrained EM Algorithm for Principal Component Analysis. 57-65
  

• Alexandre Kuhn, Ad Aertsen, Stefan Rotter:
  Higher-Order Statistics of Input Ensembles and the Response of Simple Model Neurons. 67-101
  
• Naoki Masuda, Kazuyuki Aihara:
  Duality of Rate Coding and Temporal Coding in Multilayered Feedforward Networks. 103-125
  
• Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai:
  Synchronous Firing and Higher-Order Interactions in Neuron Pool. 127-142
  
• Henry C. Tuckwell, Roger Rodriguez, Frederic Y. M. Wan:
  Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model. 143-159
  
• Melissa Dominguez, Robert A. Jacobs:
  Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities. 161-182
  
• Xiaoqin Zeng, Daniel S. Yeung:
  A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation. 183-212
  
• Rizwan Choudrey, Stephen Roberts:
  Variational Mixture of Bayesian Independent Component Analyzers. 213-252
  

Volume 15, Number 2, February 2003

• Maurice J. Chacron, Khashayar Pakdaman, André Longtin:
  Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-Fire Model with Threshold Fatigue. 253-278
  
• Romain Brette, Emmanuel Guigon:
  Reliability of Spike Timing Is a General Property of Spiking Model Neurons. 279-308
  
• Brigitte Quenet, David Horn:
  The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding. 309-329
  
• Malte Boegershausen, Pascal Suter, Shih-Chii Liu:
  Modeling Short-Term Synaptic Depression in Silicon. 331-348
  
• Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski:
  Dictionary Learning Algorithms for Sparse Representation. 349-396
  
• Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski:
  Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes. 397-417
  
• Fabian J. Theis, Andreas Jung, Carlos García Puntonet, Elmar Wolfgang Lang:
  Linear Geometric ICA: Fundamentals and Algorithms. 419-439
  
• Xiaohui Xie, H. Sebastian Seung:
  Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network. 441-454
  
• Irwin W. Sandberg:
  Indexed Families of Functionals and Gaussian Radial Basis Functions. 455-468
  
• Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse:
  Efficient Greedy Learning of Gaussian Mixture Models. 469-485
  
• S. Sathiya Keerthi, Shirish Krishnaj Shevade:
  SMO Algorithm for Least-Squares SVM Formulation. 487-507
  

Volume 15, Number 3, March 2003

• Christoph Börgers, Nancy Kopell:
  Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity. 509-538
  

• Shawn Mikula, Ernst Niebur:
  The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution. 539-547
  
• Geoffrey J. Goodhill:
  A Theoretical Model of Axon Guidance by the Robo Code. 549-564
  

• Daniel J. Amit, Gianluigi Mongillo:
  Spike-Driven Synaptic Dynamics Generating Working Memory States. 565-596
  
• Hideyuki Câteau, Tomoki Fukai:
  A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent Plasticity. 597-620
  
• Richard H. R. Hahnloser, H. Sebastian Seung, Jean-Jacques E. Slotine:
  Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. 621-638
  
• Zhang Yi, K. K. Tan, T. H. Lee:
  Multistability Analysis for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions. 639-662
  
• Jarmo Hurri, Aapo Hyvärinen:
  Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video. 663-691
  
• Jirí Síma, Pekka Orponen:
  Continuous-Time Symmetric Hopfield Nets Are Computationally Universal. 693-733
  

Volume 15, Number 4, April 2003

• Chun-Hui Mo, Christof Koch:
  Modeling Reverse-Phi Motion-Selective Neurons in Cortex: Double Synaptic-Veto Mechanism. 735-759
  

• Robert A. Jacobs, Melissa Dominguez:
  Visual Development and the Acquisition of Motion Velocity Sensitivities. 761-781
  
• Paul E. Patton, Thomas J. Anastasio:
  Modeling Cross-Modal Enhancement and Modality-Specific Suppression in Multisensory Neurons. 783-810
  
• Jan Reutimann, Michele Giugliano, Stefano Fusi:
  Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics. 811-830
  
• Bernd Porr, Florentin Wörgötter:
  Isotropic Sequence Order Learning. 831-864
  
• Bernd Porr, Christian von Ferber, Florentin Wörgötter:
  ISO Learning Approximates a Solution to the Inverse-Controller Problem in an Unsupervised Behavioral Paradigm. 865-884
  
• Ranit Aharonov, Lior Segev, Isaac Meilijson, Eytan Ruppin:
  Localization of Function via Lesion Analysis. 885-913
  
• Alan L. Yuille, Anand Rangarajan:
  The Concave-Convex Procedure. 915-936
  
• Terry Elliott:
  An Analysis of Synaptic Normalization in a General Class of Hebbian Models. 937-963
  

Volume 15, Number 5, May 2003

• Anne C. Smith, Emery N. Brown:
  Estimating a State-Space Model from Point Process Observations. 965-991
  

• Si Wu, Danmei Chen, Mahesan Niranjan, Shun-ichi Amari:
  Sequential Bayesian Decoding with a Population of Neurons. 993-1012
  

• Sumio Watanabe, Shun-ichi Amari:
  Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities. 1013-1033
  
• Toshio Aoyagi, Takashi Takekawa, Tomoki Fukai:
  Gamma Rhythmic Bursts: Coherence Control in Networks of Cortical Pyramidal Neurons. 1035-1061
  
• James M. Coughlan, Alan L. Yuille:
  Manhattan World: Orientation and Outlier Detection by Bayesian Inference. 1063-1088
  
• Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller:
  Kernel-Based Nonlinear Blind Source Separation. 1089-1124
  
• Zheng Tang, XuGang Wang, Hiroki Tamura, Masahiro Ishii:
  An Algorithm of Supervised Learning for Multilayer Neural Networks. 1125-1142
  
• Jan C. Wiemer:
  The Time-Organized Map Algorithm: Extending the Self-Organizing Map to Spatiotemporal Signals. 1143-1171
  
• Wenlian Lu, Tianping Chen:
  New Conditions on Global Stability of Cohen-Grossberg Neural Networks. 1173-1189
  

Volume 15, Number 6, June 2003

• Guilherme De A. Barreto, Aluizio F. R. Araújo, Stefan C. Kremer:
  A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. 1255-1320
  

• Liam Paninski:
  Estimation of Entropy and Mutual Information. 1191-1253
  

• Yuval Aviel, C. Mehring, Moshe Abeles, David Horn:
  On Embedding Synfire Chains in a Balanced Network. 1321-1340
  

• Naoki Masuda, Kazuyuki Aihara:
  Ergodicity of Spike Trains: When Does Trial Averaging Make Sense? 1341-1372
  
• Mikhail Belkin, Partha Niyogi:
  Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. 1373-1396
  
• Tong Zhang:
  Leave-One-Out Bounds for Kernel Methods. 1397-1437
  

Volume 15, Number 7, July 2003

• Emilio Salinas:
  Background Synaptic Activity as a Switch Between Dynamical States in a Network. 1439-1475
  

• Trevor Hastie, Robert Tibshirani, Jerome Friedman:
  Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma. 1477-1480
  

• Gal Chechik:
  Spike-Timing-Dependent Plasticity and Relevant Mutual Information Maximization. 1481-1510
  
• Eugene M. Izhikevich, Niraj S. Desai:
  Relating STDP to BCM. 1511-1523
  
• James A. Bednar, Risto Miikkulainen:
  Learning Innate Face Preferences. 1525-1557
  
• Heiko Wersing, Edgar Körner:
  Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. 1559-1588
  
• Sambu Seo, Klaus Obermayer:
  Soft Learning Vector Quantization. 1589-1604
  
• Rong Long Wang, Zheng Tang, Qi Ping Cao:
  An Efficient Approximation Algorithm for Finding a Maximum Clique Using Hopfield Network Learning. 1605-1619
  
• Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani:
  The Effect of Noise on a Class of Energy-Based Learning Rules. 1621-1640
  
• Taehwan Kim, Tülay Adali:
  Approximation by Fully Complex Multilayer Perceptrons. 1641-1666
  
• S. Sathiya Keerthi, Chih-Jen Lin:
  Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel. 1667-1689
  
• Vladimir Cherkassky, Yunqian Ma:
  Comparison of Model Selection for Regression. 1691-1714
  

Volume 15, Number 8, August 2003

• Blaise Agüera y Arcas, Adrienne L. Fairhall, William Bialek:
  Computation in a Single Neuron: Hodgkin and Huxley Revisited. 1715-1749
  

• Christoph Kayser, Konrad P. Körding, Peter König:
  Learning the Nonlinearity of Neurons from Natural Visual Stimuli. 1751-1759
  

• Benjamin Lindner, André Longtin, Adi R. Bulsara:
  Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise. 1761-1788
  
• Blaise Agüera y Arcas, Adrienne L. Fairhall:
  What Causes a Neuron to Spike? 1789-1807
  
• Oren Shriki, David Hansel, Haim Sompolinsky:
  Rate Models for Conductance-Based Cortical Neuronal Networks. 1809-1841
  
• Michael J. Barber, John W. Clark, Charles H. Anderson:
  Neural Representation of Probabilistic Information. 1843-1864
  
• Carsten Prodöhl, Rolf P. Würtz, Christoph von der Malsburg:
  Learning the Gestalt Rule of Collinearity from Object Motion. 1865-1896
  
• Barbara Hammer, Peter Tiño:
  Recurrent Neural Networks with Small Weights Implement Definite Memory Machines. 1897-1929
  
• Peter Tiño, Barbara Hammer:
  Architectural Bias in Recurrent Neural Networks: Fractal Analysis. 1931-1957
  
• Faming Liang:
  An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine. 1959-1989
  
• Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski:
  Variational Bayesian Learning of ICA with Missing Data. 1991-2011
  

Volume 15, Number 9, September 2003

• Theodore Holmes Bullock:
  Have Brain Dynamics Evolved? Should We Look for Unique Dynamics in the Sapient Species? 2013-2027
  

• David Philipona, J. K. O'Regan, Jean-Pierre Nadal:
  Is There Something Out There? Inferring Space from Sensorimotor Dependencies. 2029-2049
  

• Volodymyr Ivanchenko, Robert A. Jacobs:
  A Developmental Approach Aids Motor Learning. 2051-2065
  
• J. A. Turner, K. C. Anderson, Ralph M. Siegel:
  Cell Responsiveness in Macaque Superior Temporal Polysensory Area Measured by Temporal Discriminants. 2067-2090
  
• Michael H. Herzog, Udo A. Ernst, Axel Etzold, Christian W. Eurich:
  Local Interactions in Neural Networks Explain Global Effects in Gestalt Processing and Masking. 2091-2113
  
• Emmanuel Guigon:
  Computing with Populations of Monotonically Tuned Neurons. 2115-2127
  
• Marc de Kamps:
  A Simple and Stable Numerical Solution for the Population Density Equation. 2129-2146
  
• Laurenz Wiskott:
  Slow Feature Analysis: A Theoretical Analysis of Optimal Free Responses. 2147-2177
  
• Masaki Nomura, Tomoki Fukai, Toshio Aoyagi:
  Synchrony of Fast-Spiking Interneurons Interconnected by GABAergic and Electrical Synapses. 2179-2198
  
• Yoshifusa Ito:
  Activation Functions Defined on Higher-Dimensional Spaces for Approximation on Compact Sets with and without Scaling. 2199-2226
  
• Wei Chu, S. Sathiya Keerthi, Chong Jin Ong:
  Bayesian Trigonometric Support Vector Classifier. 2227-225
  

Volume 15, Number 10, October 2003

• Maneesh Sahani, Peter Dayan:
  Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity. 2255-2279
  
• Nicolas Brunel, Peter E. Latham:
  Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron. 2281-2306
  
• Zhiyi Chi, Peter L. Rauske, Daniel Margoliash:
  Pattern Filtering for Detection of Neural Activity, with Examples from HVc Activity During Sleep in Zebra Finches. 2307-2337
  
• Shawn Mikula, Ernst Niebur:
  Synaptic Depression Leads to Nonmonotonic Frequency Dependence in the Coincidence Detector. 2339-2358
  
• Liqiang Zhu, Ying-Cheng Lai, Frank Hoppensteadt, Jiping He:
  Probing Changes in Neural Interaction During Adaptation. 2359-2377
  
• Naoyuki Sato, Yoko Yamaguchi:
  Memory Encoding by Theta Phase Precession in the Hippocampal Network. 2379-2397
  
• Songnian Zhao, Xiaoyun Xiong, Guozheng Yao, Zhi Fu:
  A Computational Model as Neurodecoder Based on Synchronous Oscillation in the Visual Cortex. 2399-2418
  
• Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov:
  Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach. 2419-2455
  
• Konstantinos Koutroumbas:
  On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes. 2457-2481
  

Volume 15, Number 11, November 2003

• Bard Ermentrout:
  Dynamical Consequences of Fast-Rising, Slow-Decaying Synapses in Neuronal Networks. 2483-2522
  

• Jan Benda, Andreas V. M. Herz:
  A Universal Model for Spike-Frequency Adaptation. 2523-2564
  
• Matthew C. Wiener:
  An Adjustment to the Time-Rescaling Method for Application to Short-Trial Spike Train Data. 2565-2576
  
• Michael Rudolph, Alain Destexhe:
  Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes. 2577-2618
  
• David J. Reinkensmeyer, Mario G. Iobbi, Leonard E. Kahn, Derek G. Kamper, Craig D. Takahashi:
  Modeling Reaching Impairment After Stroke Using a Population Vector Model of Movement Control That Incorporates Neural Firing-Rate Variability. 2619-2642
  
• Kai-Min Chung, Wei-Chun Kao, Chia-Liang Sun, Li-Lun Wang, Chih-Jen Lin:
  Radius Margin Bounds for Support Vector Machines with the RBF Kernel. 2643-2681
  
• Junshui Ma, James Theiler, Simon Perkins:
  Accurate On-line Support Vector Regression. 2683-2703
  
• Hussein A. Abbass:
  Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms. 2705-2726
  

Volume 15, Number 12, December 2003

• Jirí Síma, Pekka Orponen:
  General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results. 2727-2778
  

• Carlo R. Laing, André Longtin:
  Dynamics of Deterministic and Stochastic Paired Excitatory-Inhibitory Delayed Feedback. 2779-2822
  
• Shigeru Shinomoto, Keisetsu Shima, Jun Tanji:
  Differences in Spiking Patterns Among Cortical Neurons. 2823-2842
  
• Barbara J. Breen, William C. Gerken, Robert J. Butera:
  Hybrid Integrate-and-Fire Model of a Bursting Neuron. 2843-2862
  
• Lars Stollenwerk, Mathias Bode:
  Lateral Neural Model of Binocular Rivalry. 2863-2882
  
• Gopathy Purushothaman, Haluk Ögmen, Harold E. Bedell:
  Suprathreshold Intrinsic Dynamics of the Human Visual System. 2883-2908
  
• Simone Fiori:
  Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons. 2909-2929
  
• Jens Kaae Christensen, Kasper Lamberth, Morten Nielsen, Claus Lundegaard, Peder Worning, Sanne Lise Lauemøller, Søren Buus, Søren Brunak, Ole Lund:
  Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach. 2931-2942