Higher-Order Organization in the Human Brain From Matrix-Based Rényi’s Entropy-Reference-Cited by-同舟云学术

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Higher-Order Organization in the Human Brain From Matrix-Based Rényi’s Entropy

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
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Author:

Li Qiang¹,Yu Shujian²,Madsen Kristoffer H³,Calhoun Vince D⁴,Iraji Armin⁴

Affiliation:

1. University of Valencia,Image Processing Laboratory,Spain

2. Vrije Universiteit Amsterdam,Department of Computer Science,The Netherlands

3. Technical University of Denmark,Department of Applied Mathematics and Computer Science,Denmark

4. Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS),USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192576/10192577/10193346.pdf?arnumber=10193346

Reference27 articles.

1. Nonnegative entropy measures of multivariate symmetric correlations

2. Multiple mutual informations and multiple interactions in frequency data

3. How should complexity scale with system size?

4. Anatomy of a Spin: The Information-Theoretic Structure of Classical Spin Systems

5. The Multiinformation Function as a Tool for Measuring Stochastic Dependence

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1. Revealing complex functional topology brain network correspondences between humans and marmosets;Neuroscience Letters;2024-02

2. Visual Image Reconstructed Without Semantics from Human Brain Activity Using Linear Image Decoders and Nonlinear Noise Suppression;2023-09-25

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