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Neural Computation - Volume 29 / Issue 10

Title
Authors Volume Issue Page Year PKV
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 29 10 2581–2632 2017 18.23
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Active Inference, Curiosity and Insight
Karl J. Friston, Marco Lin, Christopher D. Frith, Giovanni Pezzulo, J. Allan Hobson 29 10 2633–2683 2017 14.39
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Memory States and Transitions between Them in Attractor Neural Networks
Stefano Recanatesi, Mikhail Katkov, Misha Tsodyks 29 10 2684–2711 2017 20.14
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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 29 10 2712–2741 2017 14.28
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Toward an Open-Ended BCI: A User-Centered Coadaptive Design
Kiret Dhindsa, Dean Carcone, Suzanna Becker 29 10 2742–2768 2017 18.15
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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 29 10 2769–2799 2017 29.58
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Nonconvex Policy Search Using Variational Inequalities
Yusen Zhan, Haitham Bou Ammar, Matthew E. Taylor 29 10 2800–2824 2017 20.1
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Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective
Jia Cai, Hongwei Sun 29 10 2825–2859 2017 11.69
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