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Volume 29, Issue 10
October 2017
Neural Computation Cover Image for Volume 29, Issue 10
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Articles

Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings
Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski
Neural Computation (2017) 29 (10): 2581–2632.
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Active Inference, Curiosity and Insight
Karl J. Friston, Marco Lin, Christopher D. Frith, Giovanni Pezzulo, J. Allan Hobson ...
Neural Computation (2017) 29 (10): 2633–2683.
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Letters

Memory States and Transitions between Them in Attractor Neural Networks
Stefano Recanatesi, Mikhail Katkov, Misha Tsodyks
Neural Computation (2017) 29 (10): 2684–2711.
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Infinite von Mises–Fisher Mixture Modeling of Whole Brain fMRI Data
Rasmus E. Røge, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten Mørup
Neural Computation (2017) 29 (10): 2712–2741.
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Toward an Open-Ended BCI: A User-Centered Coadaptive Design
Kiret Dhindsa, Dean Carcone, Suzanna Becker
Neural Computation (2017) 29 (10): 2742–2768.
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The Two-Dimensional Gabor Function Adapted to Natural Image Statistics: A Model of Simple-Cell Receptive Fields and Sparse Structure in Images
P. N. Loxley
Neural Computation (2017) 29 (10): 2769–2799.
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Nonconvex Policy Search Using Variational Inequalities
Yusen Zhan, Haitham Bou Ammar, Matthew E. Taylor
Neural Computation (2017) 29 (10): 2800–2824.
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Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective
Jia Cai, Hongwei Sun
Neural Computation (2017) 29 (10): 2825–2859.
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