Multivariate Mutual Information Measures Functional Connectivity Accurately-Reference-Cited by-同舟云学术

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Multivariate Mutual Information Measures Functional Connectivity Accurately

Published:2021-12-29 Issue: Volume: Page:
ISSN:
Container-title:2021 7th International Conference on Signal Processing and Intelligent Systems (ICSPIS)
language:
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Author:

Ashrafi Mahnaz¹,Soltanian-Zadeh Hamid¹

Affiliation:

1. School of Electrical and Computer Engineering, University of Tehran,Control and Intelligent Processing Center of Excellence (CIPCE),Tehran,Iran

Funder

Cognitive Sciences and Technologies Council, Tehran, Iran

Iran National Science Foundation, Tehran, Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9729328/9729329/09729361.pdf?arnumber=9729361

Reference13 articles.

1. Connectivity Analysis of Human Functional MRI Data: From Linear to Nonlinear and Static to Dynamic

2. An information network flow approach for measuring functional connectivity and predicting behavior

3. A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

4. Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing);cover;Wiley-Interscience,2006

5. Representational similarity analysis – connecting the branches of systems neuroscience

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