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Volume 21, Issue 7
July 2009
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Articles

Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States
Zhe Chen, Sujith Vijayan, Riccardo Barbieri, Matthew A. Wilson, Emery N. Brown
Neural Computation (2009) 21 (7): 1797–1862.
View articletitled, Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States
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Maximally Reliable Markov Chains Under Energy Constraints
Sean Escola, Michael Eisele, Kenneth Miller, Liam Paninski
Neural Computation (2009) 21 (7): 1863–1912.
View articletitled, Maximally Reliable Markov Chains Under Energy Constraints
Supplementary data
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Letters

Generalization of the Event-Based Carnevale-Hines Integration Scheme for Integrate-and-Fire Models
Ronald A. J. van Elburg, Arjen van Ooyen
Neural Computation (2009) 21 (7): 1913–1930.
View articletitled, Generalization of the Event-Based Carnevale-Hines Integration Scheme for Integrate-and-Fire Models
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Estimating Instantaneous Irregularity of Neuronal Firing
Takeaki Shimokawa, Shigeru Shinomoto
Neural Computation (2009) 21 (7): 1931–1951.
View articletitled, Estimating Instantaneous Irregularity of Neuronal Firing
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Combining Feature- and Correspondence-Based Methods for Visual Object Recognition
Günter Westphal, Rolf P. Würtz
Neural Computation (2009) 21 (7): 1952–1989.
View articletitled, Combining Feature- and Correspondence-Based Methods for Visual Object Recognition
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Stochastic Variance Models in Discrete Time with Feedforward Neural Networks
Charles Andoh
Neural Computation (2009) 21 (7): 1990–2008.
View articletitled, Stochastic Variance Models in Discrete Time with Feedforward Neural Networks
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An Internal Model for Acquisition and Retention of Motor Learning During Arm Reaching
Luca Lonini, Laura Dipietro, Loredana Zollo, Eugenio Guglielmelli, Hermano Igo Krebs
Neural Computation (2009) 21 (7): 2009–2027.
View articletitled, An Internal Model for Acquisition and Retention of Motor Learning During Arm Reaching
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Estimation of Positive Semidefinite Correlation Matrices by Using Convex Quadratic Semidefinite Programming
Tadayoshi Fushiki
Neural Computation (2009) 21 (7): 2028–2048.
View articletitled, Estimation of Positive Semidefinite Correlation Matrices by Using Convex Quadratic Semidefinite Programming
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A Multiclass Classification Method Based on Decoding of Binary Classifiers
Takashi Takenouchi, Shin Ishii
Neural Computation (2009) 21 (7): 2049–2081.
View articletitled, A Multiclass Classification Method Based on Decoding of Binary Classifiers
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Validation-Based Sparse Gaussian Process Classifier Design
Shirish Shevade, S. Sundararajan
Neural Computation (2009) 21 (7): 2082–2103.
View articletitled, Validation-Based Sparse Gaussian Process Classifier Design
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