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Issues

Volume 27, Issue 8
August 2015
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems
Johannes Schumacher, Thomas Wunderle, Pascal Fries, Frank Jäkel, Gordon Pipa
Neural Computation (2015) 27 (8): 1555–1608.
View articletitled, A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems
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Letters

An Empirical Model for Reliable Spiking Activity
Wanjie Wang, Shreejoy J. Tripathy, Krishnan Padmanabhan, Nathaniel N. Urban, Robert E. Kass
Neural Computation (2015) 27 (8): 1609–1623.
View articletitled, An Empirical Model for Reliable Spiking Activity
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Inheritance of Hippocampal Place Fields Through Hebbian Learning: Effects of Theta Modulation and Phase Precession on Structure Formation
Tiziano D’Albis, Jorge Jaramillo, Henning Sprekeler, Richard Kempter
Neural Computation (2015) 27 (8): 1624–1672.
View articletitled, Inheritance of Hippocampal Place Fields Through Hebbian Learning: Effects of Theta Modulation and Phase Precession on Structure Formation
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Competitive STDP Learning of Overlapping Spatial Patterns
Dalius Krunglevicius
Neural Computation (2015) 27 (8): 1673–1685.
View articletitled, Competitive STDP Learning of Overlapping Spatial Patterns
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A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker
Felix Leibfried, Daniel A. Braun
Neural Computation (2015) 27 (8): 1686–1720.
View articletitled, A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker
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Optimality of Upper-Arm Reaching Trajectories Based on the Expected Value of the Metabolic Energy Cost
Yoshiaki Taniai, Jun Nishii
Neural Computation (2015) 27 (8): 1721–1737.
View articletitled, Optimality of Upper-Arm Reaching Trajectories Based on the Expected Value of the Metabolic Energy Cost
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Active Learning Using Hint Information
Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin
Neural Computation (2015) 27 (8): 1738–1765.
View articletitled, Active Learning Using Hint Information
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Subsampled Hessian Newton Methods for Supervised Learning
Chien-Chih Wang, Chun-Heng Huang, Chih-Jen Lin
Neural Computation (2015) 27 (8): 1766–1795.
View articletitled, Subsampled Hessian Newton Methods for Supervised Learning
Supplementary data
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Minimal Sign Representation of Boolean Functions: Algorithms and Exact Results for Low Dimensions
Can Eren Sezener, Erhan Oztop
Neural Computation (2015) 27 (8): 1796–1823.
View articletitled, Minimal Sign Representation of Boolean Functions: Algorithms and Exact Results for Low Dimensions
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