Connectionists: NEURAL COMPUTATION - October 1, 2017

[Terry Sejnowski]

Neural Computation - Volume 29, Number 10 - October 1, 2017

Available online for download now:
http://www.mitpressjournals.org/toc/neco/29/10

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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,
and Terrence J Sejnowski

Active Inference, Curiosity and Insight
Karl Friston, Marco Lin, Christopher D Frith, Giovanni Pezzulo,
Allan Hobson, and Sasha Ondobaka

Letters

Memory States and Transitions Between Them in Attractor Neural Networks
Stefano Recanatesi, Mikhail Katkov, and Misha Tsodyks

Infinite Von Mises-Fisher Mixture Modeling of Whole-Brain fMRI Data
Rasmus Roge, Kristoffer Madsen, Mikkel N. Schmidt, and Morten Morup

Towards an Open-Ended BCI: A User-Centred Co-Adaptive Design Approach
Kiret Dhindsa, Dean Carcone, and Suzanna Becker

The Two-dimensional Gabor Function Adapted to Natural Image Statistics:
A Model of Simple-cell Receptive Fields and Sparse Structure in Images
Peter Loxley

Non-convex Policy Search Using Variational Inequalities
Yusen Zhan, Haitham Bou Ammar, and Matthew Taylor

Constrained ERM Learning of Canonical Correlation Analysis:
A Least Squares Perspective
Jia Cai, Hongwei Sun

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SUBSCRIPTIONS - 2017 - VOLUME 29 - 12 ISSUES

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