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ORCIDNeural Computation, Volume 20
Volume 20, Number 1, January 2008
- Arvind Kumar, Sven Schrader, Ad Aertsen, Stefan Rotter:
The High-Conductance State of Cortical Networks. 1-43
- 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 Legenstein, Wolfgang Maass:
On the Classification Capability of Sign-Constrained Perceptrons. 288-309
Volume 20, Number 2, February 2008
- 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
- Tobias Glasmachers, Christian Igel:
Second-Order SMO Improves SVM Online and Active Learning. 374-382
- 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
- Murat Aytekin, Cynthia F. Moss, Jonathan Z. Simon:
A Sensorimotor Approach to Sound Localization. 603-635
- Zhaoshui He, Shengli Xie, Liqing Zhang, Andrzej Cichocki:
A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations. 636-643
- 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
- Roger Ratcliff, Gail McKoon:
The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks. 873-922
- Valérie Ventura:
Spike Train Decoding Without Spike Sorting. 923-963
- 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 G. O. 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
- John J. Hopfield:
Searching for Memories, Sudoku, Implicit Check Bits, and the Iterative Use of Not-Always-Correct Rapid Neural Computation. 1119-1164
- Stephen Waydo, Christof Koch:
Unsupervised Learning of Individuals and Categories from Images. 1165-1178
- 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
- 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
- Kukjin Kang, Shun-ichi Amari:
Discrimination with Spike Times and ISI Distributions. 1411-1426 - Minjoon Kouh, Tomaso A. 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 J. 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 D. B. 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
- 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
- Gianluigi Mongillo, Sophie Denève:
Online Learning with Hidden Markov Models. 1706-1716
- 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
- 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
- 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, Timothy P. Lillicrap, Douglas 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
- 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
- Youshen Xia, Dongyi Ye:
On Exponential Convergence Conditions of an Extended Projection Neural Network. 2227-2237
- 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
- Maxim Nikitchenko, Alexei A. Koulakov:
Neural Integrator: A Sandpile Model. 2379-2417
- 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
- Daniel J. Navarro, Thomas L. Griffiths:
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach. 2597-2628
- Ilya Sutskever, Geoffrey E. Hinton:
Deep, Narrow Sigmoid Belief Networks Are Universal Approximators. 2629-2636
- Shawn Mikula, Ernst Niebur:
Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors. 2637-2661 - Alessandro Scaglione, Guglielmo 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
- J. J. Milner, A. J. Grandison:
A Fast, Streaming SIMD Extensions 2, Logistic Squashing Function. 2967-2972
- 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
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