Volume 20, Number 1, January 2008

Article

• 
  Arvind Kumar, Sven Schrader, Ad Aertsen, Stefan Rotter: The High-Conductance State of Cortical Networks. 1-43

Letters

• 
  Bernhard Englitz, Klaus M. Stiefel, Terrence J. Sejnowski: Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms. 44-64
• 
  Jeffrey J. Lovelace, Krzysztof J. Cios: A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems. 65-90
• 
  Sophie Denève: Bayesian Spiking Neurons I: Inference. 91-117
• 
  Sophie Denève: Bayesian Spiking Neurons II: Learning. 118-145
• 
  F. Klam, Richard S. Zemel, Alexandre Pouget: Population Coding with Motion Energy Filters: The Impact of Correlations. 146-175
• 
  Nicholas V. Swindale: Feedback Decoding of Spatially Structured Population Activity in Cortical Maps. 176-204
• 
  Aaron Raftery, Joseph Cusumano, Dagmar Sternad: Chaotic Frequency Scaling in a Coupled Oscillator Model for Free Rhythmic Actions. 205-226
• 
  Yutaka Sakai, Tomoki Fukai: The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors. 227-251
• 
  Vera Kurková: Minimization of Error Functionals over Perceptron Networks. 252-270
• 
  Tilman Knebel, Sepp Hochreiter, Klaus Obermayer: An SMO Algorithm for the Potential Support Vector Machine. 271-287
• 
  Robert A. Legenstein, Wolfgang Maass: On the Classification Capability of Sign-Constrained Perceptrons. 288-309

Volume 20, Number 2, February 2008

Articles

• 
  David C. Sterratt, David J. Willshaw: Inhomogeneities in Heteroassociative Memories with Linear Learning Rules. 311-344
• 
  Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen: A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting. 345-373

Note

• 
  Tobias Glasmachers, Christian Igel: Second-Order SMO Improves SVM Online and Active Learning. 374-382

Letters

• 
  Christoph Börgers, Nancy Kopell: Gamma Oscillations and Stimulus Selection. 383-414
• 
  Ryosuke Hosaka, Osamu Araki, Tohru Ikeguchi: STDP Provides the Substrate for Igniting Synfire Chains by Spatiotemporal Input Patterns. 415-435
• 
  Natalia Toporikova, Joël Tabak, Marc E. Freeman, Richard Bertram: A-Type K⁺ Current Can Act as a Trigger for Bursting in the Absence of a Slow Variable. 436-451
• 
  Christian K. Machens, Carlos D. Brody: Design of Continuous Attractor Networks with Monotonic Tuning Using a Symmetry Principle. 452-485
• 
  Stephen Jose Hanson, Yaroslav O. Halchenko: Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area. 486-503
• 
  Tatiana Miazhynskaia, Sylvia Frühwirth-Schnatter, Georg Dorffner: Neural Network Models for Conditional Distribution Under Bayesian Analysis. 504-522
• 
  Geert Gins, Ilse Y. Smets, Jan F. M. Van Impe: Efficient Tracking of the Dominant Eigenspace of a Normalized Kernel Matrix. 523-554
• 
  Junbin Gao: Robust L1 Principal Component Analysis and Its Bayesian Variational Inference. 555-572
• 
  Matthias Ihme, Alison L. Marsden, Heinz Pitsch: Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems. 573-601

Volume 20, Number 3, March 2008

Article

• 
  Murat Aytekin, Cynthia F. Moss, Jonathan Z. Simon: A Sensorimotor Approach to Sound Localization. 603-635

Note

• 
  Zhaoshui He, Shengli Xie, Liqing Zhang, Andrzej Cichocki: A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations. 636-643

Letters

• 
  Vladimir Itskov, Carina Curto, Kenneth D. Harris: Valuations for Spike Train Prediction. 644-667
• 
  Christopher DiMattina, Kechen Zhang: How Optimal Stimuli for Sensory Neurons Are Constrained by Network Architecture. 668-708
• 
  Patrick Byrne, Suzanna Becker: A Principle for Learning Egocentric-Allocentric Transformation. 709-737
• 
  Daniel J. Jacobsen, Lars Kai Hansen, Kristoffer Hougaard Madsen: Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics. 738-755
• 
  Timothy M. Hospedales, Mark C. W. van Rossum, Bruce P. Graham, Mayank B. Dutia: Implications of Noise and Neural Heterogeneity for Vestibulo-Ocular Reflex Fidelity. 756-778
• 
  Shay Ben-Itzhak, Amir Karniel: Minimum Acceleration Criterion with Constraints Implies Bang-Bang Control as an Underlying Principle for Optimal Trajectories of Arm Reaching Movements. 779-812
• 
  Haikun Wei, Jun Zhang, Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari: Dynamics of Learning Near Singularities in Layered Networks. 813-843
• 
  Youshen Xia, Mohamed S. Kamel: A Cooperative Recurrent Neural Network for Solving L₁ Estimation Problems with General Linear Constraints. 844-872

Volume 20, Number 4, April 2008

Review

• 
  Roger Ratcliff, Gail McKoon: The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks. 873-922

Article

• 
  Valérie Ventura: Spike Train Decoding Without Spike Sorting. 923-963

Letters

• 
  Marc M. Van Hulle: Constrained Subspace ICA Based on Mutual Information Optimization Directly. 964-973
• 
  Arunava Banerjee, Peggy Seriès, Alexandre Pouget: Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks. 974-993
• 
  Si Wu, Kosuke Hamaguchi, Shun-ichi Amari: Dynamics and Computation of Continuous Attractors. 994-1025
• 
  Felix Creutzig, Henning Sprekeler: Predictive Coding and the Slowness Principle: An Information-Theoretic Approach. 1026-1041
• 
  Maciej Pedzisz, Danilo P. Mandic: A Homomorphic Neural Network for Modeling and Prediction. 1042-1064
• 
  Wenlian Lu, Tianping Chen: Almost Periodic Dynamics of a Class of Delayed Neural Networks with Discontinuous Activations. 1065-1090
• 
  Simone Fiori: A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group SU(3). 1091-1117

Volume 20, Number 5, May 2008

Article

• 
  John J. Hopfield: Searching for Memories, Sudoku, Implicit Check Bits, and the Iterative Use of Not-Always-Correct Rapid Neural Computation. 1119-1164

Note

• 
  Stephen Waydo, Christof Koch: Unsupervised Learning of Individuals and Categories from Images. 1165-1178

Letters

• 
  Lawrence Sirovich: Populations of Tightly Coupled Neurons: The RGC/LGN System. 1179-1210
• 
  Gaby Schneider: Messages of Oscillatory Correlograms: A Spike Train Model. 1211-1238
• 
  Brian Nils Lundstrom, Sungho Hong, Matthew H. Higgs, Adrienne L. Fairhall: Two Computational Regimes of a Single-Compartment Neuron Separated by a Planar Boundary in Conductance Space. 1239-1260
• 
  Cornelius Weber, Jochen Triesch: A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity. 1261-1284
• 
  Kay Thurley, Christian Leibold, Anja Gundlfinger, Dietmar Schmitz, Richard Kempter: Phase Precession Through Synaptic Facilitation. 1285-1324
• 
  Zbynek Pawlas, Lev Klebanov, Martin Prokop, Petr Lánský: Parameters of Spike Trains Observed in a Short Time Window. 1325-1343
• 
  Marc M. Van Hulle: Sequential Fixed-Point ICA Based on Mutual Information Minimization. 1344-1365
• 
  Qingshan Liu, Jun Wang: A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming. 1366-1383

Volume 20, Number 6, June 2008

Article

• 
  Gideon Gradwohl, Yoram Grossman: Analysis of the Interaction Between the Dendritic Conductance Density and Activated Area in Modulating alpha-Motoneuron EPSP: Statistical Computer Model. 1385-1410

Letters

• 
  Kukjin Kang, Shun-ichi Amari: Discrimination with Spike Times and ISI Distributions. 1411-1426
• 
  Minjoon Kouh, Tomaso Poggio: A Canonical Neural Circuit for Cortical Nonlinear Operations. 1427-1451
• 
  Xiangyu Tang, Christoph von der Malsburg: Figure-Ground Separation by Cue Integration. 1452-1472
• 
  Christopher Parisien, Charles H. Anderson, Chris Eliasmith: Solving the Problem of Negative Synaptic Weights in Cortical Models. 1473-1494
• 
  Conor Houghton, Kamal Sen: A New Multineuron Spike Train Metric. 1495-1511
• 
  José Ambros-Ingerson, Lawrence M. Grover, William R. Holmes: A Classification Method to Distinguish Cell-Specific Responses Elicited by Current Pulses in Hippocampal CA1 Pyramidal Cells. 1512-1536
• 
  Ben Willmore, Ryan J. Prenger, Michael C.-K. Wu, Jack L. Gallant: The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform. 1537-1564
• 
  Kar-Ann Toh: Deterministic Neural Classification. 1565-1595
• 
  Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori: Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. 1596-1630
• 
  Nicolas Le Roux, Yoshua Bengio: Representational Power of Restricted Boltzmann Machines and Deep Belief Networks. 1631-1649

Volume 20, Number 7, July 2008

Article

• 
  Rubén Moreno-Bote, Alfonso Renart, Néstor Parga: Theory of Input Spike Auto- and Cross-Correlations and Their Effect on the Response of Spiking Neurons. 1651-1705

Note

• 
  Gianluigi Mongillo, Sophie Denève: Online Learning with Hidden Markov Models. 1706-1716

Letters

• 
  Xiaoshen Li, Giorgio A. Ascoli: Effects of Synaptic Synchrony on the Neuronal Input-Output Relationship. 1717-1731
• 
  Claude Meunier, Boris Lamotte d'Incamps: Extending Cable Theory to Heterogeneous Dendrites. 1732-1775
• 
  Shinsuke Koyama, Robert E. Kass: Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons. 1776-1795
• 
  Thomas Burwick: Temporal Coding: Assembly Formation Through Constructive Interference. 1796-1820
• 
  J. H. Van Hateren: Fast Recursive Filters for Simulating Nonlinear Dynamic Systems. 1821-1846
• 
  Mark C. W. van Rossum, Matthijs A. A. van der Meer, Dengke Xiao, Mike W. Oram: Adaptive Integration in the Visual Cortex by Depressing Recurrent Cortical Circuits. 1847-1872
• 
  L. Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ernesto De Vito, Alessandro Verri: Spectral Algorithms for Supervised Learning. 1873-1897

Volume 20, Number 8, August 2008

Articles

• 
  Yong Zhang, Xiaobo Zhou, Ju Lu, Jeff Lichtman, Donald A. Adjeroh, Stephen T. C. Wong: 3D Axon Structure Extraction and Analysis in Confocal Fluorescence Microscopy Images. 1899-1927
• 
  Sandro Romani, Daniel J. Amit, Yali Amit: Optimizing One-Shot Learning with Binary Synapses. 1928-1950

Letter

• 
  Takashi Kanamaru, Kazuyuki Aihara: Stochastic Synchrony of Chaos in a Pulse-Coupled Neural Network with Both Chemical and Electrical Synapses Among Inhibitory Neurons. 1951-1972
• 
  Benjamin Staude, Stefan Rotter, Sonja Grün: Can Spike Coordination Be Differentiated from Rate Covariation? 1973-1999
• 
  Paul A. Rhodes: Recoding Patterns of Sensory Input: Higher-Order Features and the Function of Nonlinear Dendritic Trees. 2000-2036
• 
  Xi Shen, Xiaobin Lin, Philippe De Wilde: Oscillations and Spiking Pairs: Behavior of a Neuronal Model with STDP Learning. 2037-2069
• 
  Joshua N. Milstein, Christof Koch: Dynamic Moment Analysis of the Extracellular Electric Field of a Biologically Realistic Spiking Neuron. 2070-2084
• 
  M. N. Abdelghani, T. P. Lillicrap, D. B. Tweed: Sensitivity Derivatives for Flexible Sensorimotor Learning. 2085-2111
• 
  Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred: Algorithms for Sparse Nonnegative Tucker Decompositions. 2112-2131

Volume 20, Number 9, September 2008

Articles

• 
  Tom Tetzlaff, Stefan Rotter, Eran Stark, Moshe Abeles, Ad Aertsen, Markus Diesmann: Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics. 2133-2184
• 
  Birgit Kriener, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, Stefan Rotter: Correlations and Population Dynamics in Cortical Networks. 2185-2226

Note

• 
  Youshen Xia, Dongyi Ye: On Exponential Convergence Conditions of an Extended Projection Neural Network. 2227-2237

Letters

• 
  Javier R. Movellan: Contrastive Divergence in Gaussian Diffusions. 2238-2252
• 
  Terry Elliott: Temporal Dynamics of Rate-Based Synaptic Plasticity Rules in a Stochastic Model of Spike-Timing-Dependent Plasticity. 2253-2307
• 
  Erol Gelenbe, Stelios Timotheou: Random Neural Networks with Synchronized Interactions. 2308-2324
• 
  Rama Natarajan, Quentin J. M. Huys, Peter Dayan, Richard S. Zemel: Encoding and Decoding Spikes for Dynamic Stimuli. 2325-2360
• 
  Leon Barrett, Jerome Feldman, Liam MacDermed: A (Somewhat) New Solution to the Variable Binding Problem. 2361-2378

Volume 20, Number 10, October 2008

Article

• 
  Maxim Nikitchenko, Alexei A. Koulakov: Neural Integrator: A Sandpile Model. 2379-2417

Letters

• 
  Germán Mato, Inés Samengo: Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features. 2418-2440
• 
  Jörg Lücke, Christian Keck, Christoph von der Malsburg: Rapid Convergence to Feature Layer Correspondences. 2441-2463
• 
  Eric K. C. Tsang, Bertram Emil Shi: Normalization Enables Robust Validation of Disparity Estimates from Neural Populations. 2464-2490
• 
  Garipelli Gangadhar, Denny Joseph, V. Srinivasa Chakravarthy: Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia. 2491-2525
• 
  Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen: Sparse Coding via Thresholding and Local Competition in Neural Circuits. 2526-2563
• 
  Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen: Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof. 2564-2596

Volume 20, Number 11, November 2008

Article

• 
  Daniel J. Navarro, Thomas L. Griffiths: Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach. 2597-2628

Note

• 
  Ilya Sutskever, Geoffrey E. Hinton: Deep, Narrow Sigmoid Belief Networks Are Universal Approximators. 2629-2636

Letters

• 
  Shawn Mikula, Ernst Niebur: Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors. 2637-2661
• 
  A. Scaglione, G. Foffani, G. Scannella, Sergio Cerutti, Karen A. Moxon: Mutual Information Expansion for Studying the Role of Correlations in Population Codes: How Important Are Autocorrelations? 2662-2695
• 
  Umberto Picchini, Susanne Ditlevsen, Andrea De Gaetano, Petr Lánský: Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal. 2696-2714
• 
  Aurel A. Lazar, Eftychios A. Pnevmatikakis: Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons. 2715-2744
• 
  William W. Lytton, Ahmet Omurtag, Samuel A. Neymotin, Michael L. Hines: Just-in-Time Connectivity for Large Spiking Networks. 2745-2756
• 
  Yoshifusa Ito: Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks. 2757-2791
• 
  Masanori Kawakita, Shinto Eguchi: Boosting Method for Local Learning in Statistical Pattern Recognition. 2792-2838
• 
  Dit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. 2839-2861

Volume 20, Number 12, December 2008

• 
  Eric Shea-Brown, Mark S. Gilzenrat, Jonathan D. Cohen: Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus. 2863-2894
• 
  Jonathan D. Victor, Sheila Nirenberg: Indices for Testing Neural Codes. 2895-2936
• 
  Benoît Siri, Hugues Berry, Bruno Cessac, Bruno Delord, Mathias Quoy: A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural Networks. 2937-2966

Note

• 
  J. J. Milner, A. J. Grandison: A Fast, Streaming SIMD Extensions 2, Logistic Squashing Function. 2967-2972

Letters

• 
  Brice Bathellier, Alan Carleton, Wulfram Gerstner: Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks. 2973-3002
• 
  Henry C. Tuckwell: Analytical and Simulation Results for the Stochastic Spatial Fitzhugh-Nagumo Model Neuron. 3003-3033
• 
  Elliot A. Ludvig, Richard S. Sutton, E. James Kehoe: Stimulus Representation and the Timing of Reward-Prediction Errors in Models of the Dopamine System. 3034-3054
• 
  Osamu Hoshino: An Ongoing Subthreshold Neuronal State Established Through Dynamic Coassembling of Cortical Cells. 3055-3086
• 
  Aapo Hyvärinen: Optimal Approximation of Signal Priors. 3087-3110
• 
  Thomas J. Sullivan, Virginia R. de Sa: Sleeping Our Way to Weight Normalization and Stable Learning. 3111-3130