Journal: Neural Computation

Volume 14, Issue 9

2003 -- 2038Rahul Sarpeshkar, Micah O Halloran. Scalable Hybrid Computation with Spikes
2039 -- 2041Jürgen Schmidhuber, Felix A. Gers, Douglas Eck. Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM
2043 -- 2051Boonyanit Mathayomchan, Randall D. Beer. Center-Crossing Recurrent Neural Networks for the Evolution of Rhythmic Behavior
2053 -- 2056Nicholas V. Swindale, Doron Shoham, Amiram Grinvald, Tobias Bonhoeffer, Mark Hübener. Reply to Carreira-Perpiñán and Goodhill
2057 -- 2110Nicolas Fourcaud, Nicolas Brunel. Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons
2111 -- 2155Emilio Salinas, Terrence J. Sejnowski. Integrate-and-Fire Neurons Driven by Correlated Stochastic Input
2157 -- 2179Michael W. Spratling, M. H. Johnson. Preintegration Lateral Inhibition Enhances Unsupervised Learning
2181 -- 2200Mattias F. Karlsson, John W. C. Robinson. On Optimality in Auditory Information Processing
2201 -- 2220Nestor Caticha, J. E. Palo Tejada, Doron Lancet, Eytan Domany. Computational Capacity of an Odorant Discriminator: The Linear Separability of Curves
2221 -- 2244Michalis K. Titsias, Aristidis Likas. Mixture of Experts Classification Using a Hierarchical Mixture Model
2245 -- 2268Stephen Jose Hanson, Michiro Negishi. On the Emergence of Rules in Neural Networks

Volume 14, Issue 8

1771 -- 1800Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence
1801 -- 1825Thomas Wennekers. Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models
1827 -- 1858Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung, Bethany C. Reeb. Independent Components of Magnetoencephalography: Localization
1859 -- 1886Mihoko Minami, Shinto Eguchi. Robust Blind Source Separation by Beta Divergence
1887 -- 190Marc M. Van Hulle. Joint Entropy Maximization in Kernel-Based Topographic Maps
1907 -- 1927Alex Aussem. Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks
1929 -- 1958James M. Coughlan, Alan L. Yuille. Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking
1959 -- 1977Chih-Chung Chang, Chih-Jen Lin. Training ::::v:::: -Support Vector Regression: Theory and Algorithms
1979 -- 2002Katsuyuki Hagiwara. On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario

Volume 14, Issue 7

1507 -- 1544Javier R. Movellan, Paul Mineiro, Ruth J. Williams. A Monte Carlo EM Approach for Partially Observable Diffusion Processes: Theory and Applications to Neural Networks
1545 -- 1560Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill. Are Visual Cortex Maps Optimized for Coverage?
1561 -- 1573Marc M. Van Hulle. Kernel-Based Topographic Map Formation by Local Density Modeling
1575 -- 1597Relly Brandman, Mark E. Nelson. A Simple Model of Long-Term Spike Train Regularization
1599 -- 1628Naoki Masuda, Kazuyuki Aihara. Spatiotemporal Spike Encoding of a Continuous External Signal
1629 -- 1650Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski. Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains
1651 -- 1667Daniel Cremers, Andreas V. M. Herz. Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics
1669 -- 1689Richard H. R. Hahnloser, Rodney J. Douglas, Klaus Hepp. Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control
1691 -- 1722Alan L. Yuille. CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation
1723 -- 1738Nicol N. Schraudolph. Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent
1739 -- 1754Antony Browne. Representation and Extrapolation in Multilayer Perceptrons
1755 -- 1769Robert M. French, Nick Chater. Using Noise to Compute Error Surfaces in Connectionist Networks: A Novel Means of Reducing Catastrophic Forgetting

Volume 14, Issue 6

1233 -- 1260Emanuel Todorov. Cosine Tuning Minimizes Motor Errors
1261 -- 1266Akihiro Minagawa, Norio Tagawa, Toshiyuki Tanaka. SMEM Algorithm Is Not Fully Compatible with Maximum-Likelihood Framework
1267 -- 1281Shuo-Peng Liao, Hsuan-Tien Lin, Chih-Jen Lin. A Note on the Decomposition Methods for Support Vector Regression
1283 -- 1310Ingrid Y. Y. Koh, W. Brent Lindquist, Karen Zito, Esther A. Nimchinsky, Karel Svoboda. An Image Analysis Algorithm for Dendritic Spines
1311 -- 1322Terry Elliott, Nigel Shadbolt. Multiplicative Synaptic Normalization and a Nonlinear Hebb Rule Underlie a Neurotrophic Model of Competitive Synaptic Plasticity
1323 -- 1346Susanne Schreiber, Christian K. Machens, Andreas V. M. Herz, Simon B. Laughlin. Energy-Efficient Coding with Discrete Stochastic Events
1347 -- 1369Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato. Multiple Model-Based Reinforcement Learning
1371 -- 1392Jenny C. A. Read. A Bayesian Approach to the Stereo Correspondence Problem
1393 -- 1428Peter Sollich, Anason Halees. Learning Curves for Gaussian Process Regression: Approximations and Bounds
1429 -- 1449Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos. A Global Optimum Approach for One-Layer Neural Networks
1451 -- 1480Tommi Kärkkäinen. MLP in Layer-Wise Form with Applications to Weight Decay
1481 -- 1506Gaétan Monari, Gérard Dreyfus. Local Overfitting Control via Leverages

Volume 14, Issue 5

957 -- 986A. 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
987 -- 997Werner M. Kistler, Wulfram Gerstner. Stable Propagation of Activity Pulses in Populations of Spiking Neurons
999 -- 1026Si Wu, Shun-ichi Amari, Hiroyuki Nakahara. Population Coding and Decoding in a Neural Field: A Computational Study
1027 -- 1057Sorinel Adrian Oprisan, Carmen C. Canavier. The Influence of Limit Cycle Topology on the Phase Resetting Curve
1059 -- 1070Philip R. Van Loocke. Fields as Limit Functions of Stochastic Discrimination and Their Adaptability
1071 -- 1103Dan Roth, Ming-Hsuan Yang, Narendra Ahuja. Learning to Recognize Three-Dimensional Objects
1105 -- 1114Ronan Collobert, Samy Bengio, Yoshua Bengio. A Parallel Mixture of SVMs for Very Large Scale Problems
1115 -- 1147Tony 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
1149 -- 1168Donald E. Duckro, Dennis W. Quinn, Samuel J. Gardner III. Neural Network Pruning with Tukey-Kramer Multiple Comparison Procedure
1169 -- 1182Christopher K. I. Williams, Felix V. Agakov. Products of Gaussians and Probabilistic Minor Component Analysis
1183 -- 1194Ingo Galleske, Juan Castellanos. Optimization of the Kernel Functions in a Probabilistic Neural Network Analyzing the Local Pattern Distribution
1195 -- 1232Douglas L. T. Rohde. Methods for Binary Multidimensional Scaling

Volume 14, Issue 4

715 -- 770Laurenz Wiskott, Terrence J. Sejnowski. Slow Feature Analysis: Unsupervised Learning of Invariances
771 -- 779Inés Samengo. Information Loss in an Optimal Maximum Likelihood Decoding
781 -- 792Khashayar Pakdaman. The Reliability of the Stochastic Active Rotator
793 -- 817Michael 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
819 -- 844Hiroyuki Nakahara, Shun-ichi Amari, Okihide Hikosaka. Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals
845 -- 871Pierre Baraduc, Emmanuel Guigon. Population Computation of Vectorial Transformations
873 -- 888Gail A. Carpenter, Boriana L. Milenova. Redistribution of Synaptic Efficacy Supports Stable Pattern Learning in Neural Networks
889 -- 918Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen. Mean-Field Approaches to Independent Component Analysis
919 -- 956Michael Schmitt. Neural Networks with Local Receptive Fields and Superlinear VC Dimension

Volume 14, Issue 3

473 -- 491Paul C. Bressloff, Jack D. Cowan, Martin Golubitsky, Peter J. Thomas, Matthew C. Wiener. What Geometric Visual Hallucinations Tell Us about the Visual Cortex
493 -- 525Paul C. Bressloff, Jack D. Cowan. An Amplitude Equation Approach to Contextual Effects in Visual Cortex
527 -- 542Allan Gottschalk. Derivation of the Visual Contrast Response Function by Maximizing Information Rate
543 -- 559Norberto M. Grzywacz, Rosario M. Balboa. A Bayesian Framework for Sensory Adaptation
561 -- 581Adam L. Taylor, Garrison W. Cottrell, William B. Kristan Jr.. Analysis of Oscillations in a Reciprocally Inhibitory Network with Synaptic Depression
583 -- 619Walter Senn, Martin Schneider, Berthold Ruf. Activity-Dependent Development of Axonal and Dendritic Delays, or, Why Synaptic Transmission Should Be Unreliable
621 -- 640Jianfeng Feng, Guibin Li. Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis
641 -- 668Lehel Csató, Manfred Opper. Sparse On-Line Gaussian Processes
669 -- 688Mark Girolami. Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem
689 -- 713Jiann-Ming Wu. Natural Discriminant Analysis Using Interactive Potts Models

Volume 14, Issue 2

241 -- 301Michael Schmitt. On the Complexity of Computing and Learning with Multiplicative Neural Networks
303 -- 324Chuangyin Dang, Lei Xu. A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem
325 -- 346Emery 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
347 -- 367Amit Manwani, Peter N. Steinmetz, Christof Koch. The Impact of Spike Timing Variability on the Signal-Encoding Performance of Neural Spiking Models
369 -- 404Carsten Meyer, Carl van Vreeswijk. Temporal Correlations in Stochastic Networks of Spiking Neurons
405 -- 420Michele Bezzi, Inés Samengo, Stefan Leutgeb, Sheri J. Mizumori. Measuring Information Spatial Densities
421 -- 435Magnus Rattray. Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis
437 -- 471Alessio Plebe, Angelo Marcello Anile. A Neural-Network-Based Approach to the Double Traveling Salesman Problem

Volume 14, Issue 12

2791 -- 2846Zhe Chen, Simon Haykin. On Different Facets of Regularization Theory
2847 -- 285Simone Fiori. Notes on Bell-Sejnowski PDF-Matching Neuron
2857 -- 2881Angela J. Yu, Martin A. Giese, Tomaso Poggio. Biophysiologically Plausible Implementations of the Maximum Operation
2883 -- 2902Narihisa Matsumoto, Masato Okada. Self-Regulation Mechanism of Temporally Asymmetric Hebbian Plasticity
2903 -- 2923Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen, Stan C. A. M. Gielen. Associative Memory with Dynamic Synapses
2925 -- 2946Garrett B. Stanley. Adaptive Spatiotemporal Receptive Field Estimation in the Visual Pathway
2947 -- 2957Tianping Chen, Wenlian Lu, Shun-ichi Amari. Global Convergence Rate of Recurrently Connected Neural Networks
2959 -- 2980Nihat Ay. Locality of Global Stochastic Interaction in Directed Acyclic Networks
2981 -- 2996Masahiro Kimura. On Unique Representations of Certain Dynamical Systems Produced by Continuous-Time Recurrent Neural Networks
2997 -- 3011Michael Schmitt. Descartes Rule of Signs for Radial Basis Function Neural Networks
3013 -- 3042Tong Zhang. Approximation Bounds for Some Sparse Kernel Regression Algorithms

Volume 14, Issue 11

2531 -- 2560Wolfgang Maass, Thomas Natschläger, Henry Markram. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
2561 -- 2566Andrew D. Back, Tianping Chen. Universal Approximation of Multiple Nonlinear Operators by Neural Networks
2567 -- 2583Nathaniel D. Daw, David S. Touretzky. Long-Term Reward Prediction in TD Models of the Dopamine System
2585 -- 2596Simon M. Stringer, Edmund T. Rolls. Invariant Object Recognition in the Visual System with Novel Views of 3D Objects
2597 -- 2626Werner M. Kistler, Chris I. De Zeeuw. Dynamical Working Memory and Timed Responses: The Role of Reverberating Loops in the Olivo-Cerebellar System
2627 -- 2646Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung. Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition
2647 -- 2692Harri Valpola, Juha Karhunen. An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
2693 -- 2707Danilo P. Mandic. Data-Reusing Recurrent Neural Adaptive Filters
2709 -- 2728Jirí Síma. Training a Single Sigmoidal Neuron Is Hard
2729 -- 2750P. S. Sastry, M. Magesh, K. P. Unnikrishnan. Two Timescale Analysis of the Alopex Algorithm for Optimization
2751 -- 2789Siu-Yeung Cho, Tommy W. S. Chow. A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method

Volume 14, Issue 10

2269 -- 2316Hiroyuki Nakahara, Shun-ichi Amari. Information-Geometric Measure for Neural Spikes
2317 -- 2351Matthias Bethge, David Rotermund, Klaus Pawelzik. Optimal Short-Term Population Coding: When Fisher Information Fails
2353 -- 2370Terry Elliott, Jörg Kramer. Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography
2371 -- 2396Silvia Scarpetta, Zhaoping Li, John A. Hertz. Hebbian Imprinting and Retrieval in Oscillatory Neural Networks
2397 -- 2414Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller. A New Discriminative Kernel from Probabilistic Models
2415 -- 2437Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner. Factorial Hidden Markov Models and the Generalized Backfitting Algorithm
2439 -- 2468Aki Vehtari, Jouko Lampinen. Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
2469 -- 2496Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori. Robust Regression with Asymmetric Heavy-Tail Noise Distributions
2497 -- 2529Paul E. Utgoff, David J. Stracuzzi. Many-Layered Learning

Volume 14, Issue 1

1 -- 19Mladen I. Glavinovic. Mechanisms Shaping Fast Excitatory Postsynaptic Currents in the Central Nervous System
21 -- 41Marco Saerens, Patrice Latinne, Christine Decaestecker. Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure
43 -- 80Sonja Grün, Markus Diesmann, Ad Aertsen. Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance
81 -- 119Sonja Grün, Markus Diesmann, Ad Aertsen. Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data
121 -- 153Robert Gütig, Ad Aertsen, Stefan Rotter. Statistical Significance of Coincident Spikes: Count-Based Versus Rate-Based Statistics
155 -- 189Stefan D. Wilke, Christian W. Eurich. Representational Accuracy of Stochastic Neural Populations
191 -- 215Nikos A. Vlassis, Yoichi Motomura, Ben J. A. Kröse. Supervised Dimension Reduction of Intrinsically Low-Dimensional Data
217 -- 239Janne Sinkkonen, Samuel Kaski. Clustering Based on Conditional Distributions in an Auxiliary Space