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Issues

Volume 25, Issue 6
June 2013
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Articles

Emergence of Optimal Decoding of Population Codes Through STDP
Stefan Habenschuss, Helmut Puhr, Wolfgang Maass
Neural Computation (2013) 25 (6): 1371–1407.
View articletitled, Emergence of Optimal Decoding of Population Codes Through STDP
Supplementary data
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Randomly Connected Networks Have Short Temporal Memory
Edward Wallace, Hamid Reza Maei, Peter E. Latham
Neural Computation (2013) 25 (6): 1408–1439.
View articletitled, Randomly Connected Networks Have Short Temporal Memory
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Letters

New Supervised Learning Theory Applied to Cerebellar Modeling for Suppression of Variability of Saccade End Points
Masahiko Fujita
Neural Computation (2013) 25 (6): 1440–1471.
View articletitled, New Supervised Learning Theory Applied to Cerebellar Modeling for Suppression of Variability of Saccade End Points
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A New Supervised Learning Algorithm for Spiking Neurons
Yan Xu, Xiaoqin Zeng, Shuiming Zhong
Neural Computation (2013) 25 (6): 1472–1511.
View articletitled, A New Supervised Learning Algorithm for Spiking Neurons
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Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration
Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama
Neural Computation (2013) 25 (6): 1512–1547.
View articletitled, Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration
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The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data
Sascha Klement, Silke Anders, Thomas Martinetz
Neural Computation (2013) 25 (6): 1548–1584.
View articletitled, The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data
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Parameter Learning for Alpha Integration
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
Neural Computation (2013) 25 (6): 1585–1604.
View articletitled, Parameter Learning for Alpha Integration
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Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders
Zhitang Chen, Laiwan Chan
Neural Computation (2013) 25 (6): 1605–1641.
View articletitled, Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders
Supplementary data
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Simple Neural-Like P Systems for Maximal Independent Set Selection
Lei Xu, Peter Jeavons
Neural Computation (2013) 25 (6): 1642–1659.
View articletitled, Simple Neural-Like P Systems for Maximal Independent Set Selection
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