Quantifying high-order interdependencies via multivariate extensions of the mutual information-Reference-Cited by-同舟云学术

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Quantifying high-order interdependencies via multivariate extensions of the mutual information

Published:2019-09-13 Issue:3 Volume:100 Page:
ISSN:2470-0045
Container-title:Physical Review E
language:en
Short-container-title:Phys. Rev. E

Author:

Rosas Fernando E.,Mediano Pedro A. M.,Gastpar Michael,Jensen Henrik J.

Funder

École Polytechnique Fédérale de Lausanne

Horizon 2020

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.100.032305/fulltext

Reference55 articles.

1. The calculi of emergence: computation, dynamics and induction

2. Synergy, Redundancy, and Independence in Population Codes

3. Synergy, Redundancy, and Independence in Population Codes, Revisited

4. Sparse low-order interaction network underlies a highly correlated and learnable neural population code

5. Complexity and coherency: integrating information in the brain

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