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Volume 29, Issue 11
November 2017
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Articles

Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics
Alex T. Piet, Jeffrey C. Erlich, Charles D. Kopec, Carlos D. Brody
Neural Computation (2017) 29 (11): 2861–2886.
View articletitled, Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics
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Simultaneous Estimation of Nongaussian Components and Their Correlation Structure
Hiroaki Sasaki, Michael U. Gutmann, Hayaru Shouno, Aapo Hyvärinen
Neural Computation (2017) 29 (11): 2887–2924.
View articletitled, Simultaneous Estimation of Nongaussian Components and Their Correlation Structure
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Letters

Blind Nonnegative Source Separation Using Biological Neural Networks
Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii
Neural Computation (2017) 29 (11): 2925–2954.
View articletitled, Blind Nonnegative Source Separation Using Biological Neural Networks
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Effect of Morphologic Features of Neurons on the Extracellular Electric Potential: A Simulation Study Using Cable Theory and Electro-Quasi-Static Equations
R. Bestel, R. Appali, U. van Rienen, C. Thielemann
Neural Computation (2017) 29 (11): 2955–2978.
View articletitled, Effect of Morphologic Features of Neurons on the Extracellular Electric Potential: A Simulation Study Using Cable Theory and Electro-Quasi-Static Equations
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Discrete Sparse Coding
Georgios Exarchakis, Jörg Lücke
Neural Computation (2017) 29 (11): 2979–3013.
View articletitled, Discrete Sparse Coding
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A Robust Regression Framework with Laplace Kernel-Induced Loss
Liming Yang, Zhuo Ren, Yidan Wang, Hongwei Dong
Neural Computation (2017) 29 (11): 3014–3039.
View articletitled, A Robust Regression Framework with Laplace Kernel-Induced Loss
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Sparse Covariance Matrix Estimation by DCA-Based Algorithms
Duy Nhat Phan, Hoai An Le Thi, Tao Pham Dinh
Neural Computation (2017) 29 (11): 3040–3077.
View articletitled, Sparse Covariance Matrix Estimation by DCA-Based Algorithms
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Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces
Liangzhi Chen, Haizhang Zhang
Neural Computation (2017) 29 (11): 3078–3093.
View articletitled, Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces
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An Initialization Method Based on Hybrid Distance for k-Means Algorithm
Jie Yang, Yan Ma, Xiangfen Zhang, Shunbao Li, Yuping Zhang
Neural Computation (2017) 29 (11): 3094–3117.
View articletitled, An Initialization Method Based on Hybrid Distance for <em>k</em>-Means Algorithm
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