Journal: Neural Computation

Volume 12, Issue 9

1987 -- 2008François Fleuret, Eric Brunet. DEA: An Architecture for Goal Planning and Classification
2009 -- 2012Gavin C. Cawley. On a Fast, Compact Approximation of the Exponential Function
2013 -- 2036Vladimir Vapnik, Olivier Chapelle. Bounds on Error Expectation for Support Vector Machines
2037 -- 2062Svetlana Levitan, James A. Reggia. A Computational Model of Lateralization and Asymmetries in Cortical Maps
2063 -- 2082Arup Roy, Peter N. Steinmetz, Ernst Niebur. Rate Limitations of Unitary Event Analysis
2083 -- 2107Shun-ichi Amari. Estimating Functions of Independent Component Analysis for Temporally Correlated Signals
2109 -- 2128Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton. SMEM Algorithm for Mixture Models
2129 -- 2174Rafael C. Carrasco, Mikel L. Forcada, M. Ángeles Valdés-Muñoz, Ramón P. Ñeco. Stable Encoding of Finite-State Machines in Discrete-Time Recurrent Neural Nets with Sigmoid Units
2175 -- 2207David J. Miller, Lian Yan. Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification
2209 -- 2225Shin Ishii, Hirotaka Niitsuma. -Opt Neural Approaches to Quadratic Assignment Problems

Volume 12, Issue 8

1743 -- 1772Wolfgang Maass, Eduardo D. Sontag. Neural Systems as Nonlinear Filters
1773 -- 1787Giovanni Settanni, Alessandro Treves. Analytical Model for the Effects of Learning on Spike Count Distributions
1789 -- 1820Anthony N. Burkitt, Graeme M. Clark. Calculation of Interspike Intervals for Integrate-and-Fire Neurons with Poisson Distribution of Synaptic Inputs
1821 -- 1838Olivier François, L. M. Ould Mohamed Abdallahi, J. Horikawa, I. Taniguchi, Thierry Hervé. Statistical Procedures for Spatiotemporal Neuronal Data with Applications to Optical Recording of the Auditory Cortex
1839 -- 1867Pierre-Yves Burgi, Alan L. Yuille, Norberto M. Grzywacz. Probabilistic Motion Estimation Based on Temporal Coherence
1869 -- 1887Holger Schwenk, Yoshua Bengio. Boosting Neural Networks
1889 -- 1900Yoshua Bengio. Gradient-Based Optimization of Hyperparameters
1901 -- 1927Paolo Campolucci, Aurelio Uncini, Francesco Piazza. A Signal-Flow-Graph Approach to On-line Gradient Calculation
1929 -- 1949Jürgen Franke II, Michael H. Neumann. Bootstrapping Neural Networks
1951 -- 1968Toshiyuki Tanaka. Information Geometry of Mean-Field Approximation
1969 -- 1986Xuhui Shao, Vladimir Cherkassky, William Li. Measuring the VC-Dimension Using Optimized Experimental Design

Volume 12, Issue 7

1485 -- 1517Rosario M. Balboa, Norberto M. Grzywacz. The Minimal Local-Asperity Hypothesis of Early Retinal Lateral Inhibition
1519 -- 1529Christian W. Eurich, Stefan D. Wilke. Multidimensional Encoding Strategy of Spiking Neurons
1531 -- 1552Naama Brenner, Steven P. Strong, Roland Koberle, William Bialek, Robert R. de Ruyter van Steveninck. Synergy in a Neural Code
1553 -- 1571Elizabeth Thomas, Thierry Grisar. Increased Synchrony with Increase of a Low-Threshold Calcium Conductance in a Model Thalamic Network: A Phase-Shift Mechanism
1573 -- 1606Jan Karbowski, Nancy Kopell. Multispikes and Synchronization in a Large Neural Network with Temporal Delays
1607 -- 1641L. Neltner, David Hansel, Germán Mato, Claude Meunier. Synchrony in Heterogeneous Networks of Spiking Neurons
1643 -- 1678Carson C. Chow, Nancy Kopell. Dynamics of Spiking Neurons with Electrical Coupling
1679 -- 1704Wolfgang Maass, Thomas Natschläger. A Model for Fast Analog Computation Based on Unreliable Synapses
1705 -- 1720Aapo Hyvärinen, Patrik O. Hoyer. Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces
1721 -- 1740James A. Bednar, Risto Miikkulainen. Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex

Volume 12, Issue 6

1247 -- 1283Joshua B. Tenenbaum, William T. Freeman. Separating Style and Content with Bilinear Models
1285 -- 1292Danilo P. Mandic, Jonathon A. Chambers. Relationships Between the A Priori and A Posteriori Errors in Nonlinear Adaptive Neural Filters
1293 -- 1301Wenxin Jiang. The VC Dimension for Mixtures of Binary Classifiers
1303 -- 1312Malik Magdon-Ismail, Amir F. Atiya. The Early Restart Algorithm
1313 -- 1335Lawrence K. Saul, Michael I. Jordan. Attractor Dynamics in Feedforward Neural Networks
1337 -- 1353Tony Plate, Joel Bert, John Grace, Pierre Band. Visualizing the Function Computed by a Feedforward Neural Network
1355 -- 1370Diego Sona, Alessandro Sperduti, Antonina Starita. Discriminant Pattern Recognition Using Transformation-Invariant Neurons
1371 -- 1398Herbert Jaeger. Observable Operator Models for Discrete Stochastic Time Series
1399 -- 1409Shun-ichi Amari, Hyeyoung Park, Kenji Fukumizu. Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons
1411 -- 1427Shotaro Akaho, Hilbert J. Kappen. Nonmonotonic Generalization Bias of Gaussian Mixture Models
1429 -- 1447Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal. Efficient Block Training of Multilayer Perceptrons
1449 -- 1462Jooyoung Park, Yonmook Park. An Optimization Approach to Design of Generalized BSB Neural Associative Memories
1463 -- 1484Shun-ichi Amari, Tianping Chen, Andrzej Cichocki. Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation

Volume 12, Issue 5

995 -- 1007Michael L. Hines, Nicholas T. Carnevale. Expanding NEURON s Repertoire of Mechanisms with NMODL
1009 -- 1043Simona Doboli, Ali A. Minai, Phillip J. Best. Latent Attractors: A Model for Context-Dependent Place Representations in the Hippocampus
1045 -- 1055Bruce W. Knight, A. Omurtag, L. Sirovich. The Approach of a Neuron Population Firing Rate to a New Equilibrium: An Exact Theoretical Result
1057 -- 1066Brian S. Blais, Leon N. Cooper, Harel Z. Shouval. Formation of Direction Selectivity in Natural Scene Environments
1067 -- 1093Peter Roper, Paul C. Bressloff, André Longtin. A Phase Model of Temperature-Dependent Mammalian Cold Receptors
1095 -- 1139David Golomb, David Hansel. The Number of Synaptic Inputs and the Synchrony of Large, Sparse Neuronal Networks
1141 -- 1164Yali Amit. A Neural Network Architecture for Visual Selection
1165 -- 1187Thomas J. Anastasio, Paul E. Patton, Kamel Belkacem-Boussaid. Using Bayes Rule to Model Multisensory Enhancement in the Superior Colliculus
1189 -- 1205Panayiota Poirazi, Bartlett W. Mel. Choice and Value Flexibility Jointly Contribute to the Capacity of a Subsampled Quadratic Classifier
1207 -- 1245Bernhard Schölkopf, Alex J. Smola, Robert C. Williamson, Peter L. Bartlett. New Support Vector Algorithms

Volume 12, Issue 4

731 -- 762Bartlett W. Mel, József Fiser. Minimizing Binding Errors Using Learned Conjunctive Features
763 -- 793Antonio Turiel, Néstor Parga. The Multifractal Structure of Contrast Changes in Natural Images: From Sharp Edges to Textures
795 -- 809Hanzhong Gu, Haruhisa Takahashi. Exponential or Polynomial Learning Curves? Case-Based Studies
811 -- 829Eric Hartman. Training Feedforward Neural Networks with Gain Constraints
831 -- 864Zoubin Ghahramani, Geoffrey E. Hinton. Variational Learning for Switching State-Space Models
865 -- 880Chengxiang Zhang, Chandan Dasgupta, Manoranjan P. Singh. Retrieval Properties of a Hopfield Model with Random Asymmetric Interactions
881 -- 901Tom Heskes. On Natural Learning and Pruning in Multilayered Perceptrons
903 -- 931Michele Giugliano. Synthesis of Generalized Algorithms for the Fast Computation of Synaptic Conductances with Markov Kinetic Models in Large Network Simulations
933 -- 953João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee. Hierarchical Bayesian Models for Regularization in Sequential Learning
955 -- 993João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee, Arnaud Doucet. Sequential Monte Carlo Methods to Train Neural Network Models

Volume 12, Issue 3

473 -- 518Bruce W. Knight. Dynamics of Encoding in Neuron Populations: Some General Mathematical Features
519 -- 529Manuel A. Sánchez-Montañés, Paul F. M. J. Verschure, Peter König. Local and Global Gating of Synaptic Plasticity
531 -- 545Nathalie Japkowicz, Stephen Jose Hanson, Mark A. Gluck. Nonlinear Autoassociation Is Not Equivalent to PCA
547 -- 564Malik Magdon-Ismail. No Free Lunch for Noise Prediction
565 -- 596Chris J. S. Webber. Self-Organization of Symmetry Networks: Transformation Invariance from the Spontaneous Symmetry-Breaking Mechanism
597 -- 645Jonathan E. Rubin, David Terman. Geometric Analysis of Population Rhythms in Synaptically Coupled Neuronal Networks
647 -- 669Quentin Pauluis, Stuart N. Baker. An Accurate Measure of the Instantaneous Discharge Probability, with Application to Unitary Joint-Event Analysis
671 -- 692Jianfeng Feng, David Brown. Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model
693 -- 707David M. Halliday. Weak, Stochastic Temporal Correlation of Large-Scale Synaptic Input Is a Major Determinant of Neuronal Bandwidth
709 -- 729Kazumi Saito, Ryohei Nakano. Second-Order Learning Algorithm with Squared Penalty Term

Volume 12, Issue 2

247 -- 278Bartlett W. Mel, József Fiser. Minimizing Binding Errors Using Learned Conjunctive Features
279 -- 292Ning Qian, Samuel Mikaelian. Relationship Between Phase and Energy Methods for Disparity Computation
293 -- 304Aleksander Kolcz. N-tuple Network, CART, and Bagging
305 -- 311Niall M. Adams, David J. Hand. Improving the Practice of Classifier Performance Assessment
313 -- 335Emilio Salinas, L. F. Abbott. Do Simple Cells in Primary Visual Cortex Form a Tight Frame?
337 -- 365Michael S. Lewicki, Terrence J. Sejnowski. Learning Overcomplete Representations
367 -- 384Hans E. Plesser, Wulfram Gerstner. Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates
385 -- 405Werner M. Kistler, J. Leo van Hemmen. Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials
407 -- 432Masa-aki Sato, Shin Ishii. On-line EM Algorithm for the Normalized Gaussian Network
433 -- 450Maxim Khaikine, Klaus Holthausen. A General Probability Estimation Approach for Neural Computation
451 -- 472Fation Sevrani, Kennichi Abe. On the Synthesis of Brain-State-in-a-Box Neural Models with Application to Associative Memory

Volume 12, Issue 12

2743 -- 2775Eric B. Baum, Igor Durdanovic. Evolution of Cooperative Problem Solving in an Artificial Economy
2777 -- 2795Henry C. Tuckwell. Cortical Potential Distributions and Information Processing
2797 -- 2804Jonathan D. Victor. Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials
2805 -- 2821D. Chawla, Erik D. Lumer, Karl J. Friston. Relating Macroscopic Measures of Brain Activity to Fast, Dynamic Neuronal Interactions
2823 -- 2855J. McIntyre, F. Stratta, Jacques Droulez, F. Lacquaniti. Analysis of Pointing Errors Reveals Properties of Data Representations and Coordinate Transformations Within the Central Nervous System
2857 -- 2880Giacomo Indiveri. Modeling Selective Attention Using a Neuromorphic Analog VLSI Device
2881 -- 2907Jinwen Ma, Lei Xu, Michael I. Jordan. Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures
2909 -- 2940Masashi Sugiyama, Hidemitsu Ogawa. Incremental Active Learning for Optimal Generalization
2941 -- 2964José Luis Bernier, Julio Ortega, Eduardo Ros Vidal, Ignacio Rojas, Alberto Prieto. A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs
2965 -- 2989Jirí Síma, Pekka Orponen, Teemu Antti-Poika. On the Computational Complexity of Binary and Analog Symmetric Hopfield Nets

Volume 12, Issue 11

2473 -- 2511Paul C. Bressloff, N. W. Bressloff, Jack D. Cowan. Dynamical Mechanism for Sharp Orientation Tuning in an Integrate-and-Fire Model of a Cortical Hypercolumn
2513 -- 2518Quentin Pauluis. Statistical Signs of Common Inhibitory Feedback with Delay
2519 -- 2535Wolfgang Maass. On the Computational Power of Winner-Take-All
2537 -- 2546Alejandro Sierra, Fernando J. Corbacho. Reclassification as Supervised Clustering
2547 -- 2572Edmund T. Rolls, T. Milward. A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures
2573 -- 2595T. Müller, Martin Stetter, Mark Hübener, F. Sengpiel, Tobias Bonhoeffer, I. Gödecke, B. Chapman, Siegrid Löwel, Klaus Obermayer. An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets
2597 -- 2620Stuart N. Baker, George L. Gerstein. Improvements to the Sensitivity of Gravitational Clustering for Multiple Neuron Recordings
2621 -- 2653Laura Martignon, Gustavo Deco, Kathryn B. Laskey, Mathew E. Diamond, Winrich Freiwald, Eilon Vaadia. Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies
2655 -- 2684Manfred Opper, Ole Winther. Gaussian Processes for Classification: Mean-Field Algorithms
2685 -- 2717Dirk Husmeier. The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks
2719 -- 2741Volker Tresp. A Bayesian Committee Machine

Volume 12, Issue 10

2227 -- 2258Stefano Fusi, Mario Annunziato, Davide Badoni, Andrea Salamon, Daniel J. Amit. Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation
2259 -- 2278Gennady S. Cymbalyuk, Girish N. Patel, Ronald L. Calabrese, Stephen P. DeWeerth, Avis H. Cohen. Modeling Alternation to Synchrony with Inhibitory Coupling: A Neuromorphic VLSI Approach
2279 -- 2290Radim Belohlávek. Representation of Concept Lattices by Bidirectional Associative Memories
2291 -- 2304Reid R. Harrison, Christof Koch. A Silicon Implementation of the Fly s Optomotor Control System
2305 -- 2329Maurizio Mattia, Paolo Del Giudice. Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses
2331 -- 2353Hod Lipson, Hava T. Siegelmann. Clustering Irregular Shapes Using High-Order Neurons
2355 -- 2383Rembrandt Bakker, Jaap C. Schouten, C. Lee Giles, Floris Takens, Cor M. van den Bleek. Learning Chaotic Attractors by Neural Networks
2385 -- 2404G. Baudat, Fatiha Anouar. Generalized Discriminant Analysis Using a Kernel Approach
2405 -- 2426Leonardo Franco, Sergio A. Cannas. Generalization and Selection of Examples in Feedforward Neural Networks
2427 -- 2450Adrian Trapletti, Friedrich Leisch, Kurt Hornik. Stationary and Integrated Autoregressive Neural Network Processes
2451 -- 2471Felix A. Gers, Jürgen Schmidhuber, Fred A. Cummins. Learning to Forget: Continual Prediction with LSTM

Volume 12, Issue 1

1 -- 41Yair Weiss. Correctness of Local Probability Propagation in Graphical Models with Loops
43 -- 89Wulfram Gerstner. Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking
91 -- 129Paul C. Bressloff, Stephen Coombes. Dynamics of Strongly Coupled Spiking Neurons
131 -- 139DeLiang L. Wang. On Connectedness: A Solution Based on Oscillatory Correlation
141 -- 152Miguel Á. Carreira-Perpiñán, Steve Renals. Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions
153 -- 179Sander M. Bohte, H. Spekreijse, P. R. Roelfsema. The Effects of Pair-wise and Higher-order Correlations on the Firing Rate of a Postsynaptic Neuron
181 -- 194Erik D. Lumer. Effects of Spike Timing on Winner-Take-All Competition in Model Cortical Circuits
195 -- 217Hiroyuki Ito, Satoshi Tsuji. Model Dependence in Quantification of Spike Interdependence by Joint Peri-Stimulus Time Histogram
219 -- 245Kenji Doya. Reinforcement Learning in Continuous Time and Space