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SYNERGINFO

Developments on the relevance of SYNERGistic INFOrmation sharing modes

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EC-Contrib. €

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Project "SYNERGINFO" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://www.information-dynamics.org
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2019-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 183˙454.00

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 Project objective

Recently, researchers have developed a new framework for decomposing the information that is shared by a number of variables, which characterizes public information that is shared by all the variables and private information that is contained only in specific elements. The main contribution of this work has been to distinguish between redundant and synergistic interdependencies: the former corresponds to variables that share the same information, while the latter refers to information sharing modes where the statistical dependency exists within the whole but not between the parts.

The objective of this project is to analyze the relevance of synergistic modes of information sharing in different contexts, developing a deeper understanding of their nature and consequences. For this, the project has as specific goals (a) to further develop the theoretical framework for studying synergistic information sharing structures, and to use this framework to bring new light in important applications: (b) biometric databases and privacy due to its relevance for our modern society and (c) the study of brain activity due to its fascinating structure and function.

 Publications

year authors and title journal last update
List of publications.
2018 Cofre, Rodrigo; Maldonado, Cesar; Rosas, Fernando
Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains
published pages: , ISSN: 1099-4300, DOI: 10.20944/PREPRINTS201806.0114.V1
Entropy 1 2019-10-28
2017 R. Torrea-Duran, F. Rosas, S. Pollin, L. Vandendorpe and M. Moonen
Exploiting the overhearing capabilities of transmitting nodes to increase the energy efficiency in dense networks
published pages: , ISSN: 1687-1499, DOI:
EURASIP Journal on Wireless Communications and Networking 2019-10-28
2018 Rosas, Fernando; Chen, Kwang-Cheng; Gunduz, Deniz
Social diversity for reducing the impact of information cascades on social learning
published pages: , ISSN: , DOI:
Proceedings of the 8th joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux 2019-10-28
2018 B. Rassouli, F. Rosas, M. Varasteh and D. Gündüz
“Latent feature disclosure under perfect sample privacy”
published pages: , ISSN: , DOI:
Proceedings of the 2018 IEEE International Workshop on Information Forensics and Security (WIFS) pg. 1-6 2019-10-28
2019 Rosas, Fernando; Mediano, Pedro A. M.; Gastpar, Michael; Jensen, Henrik J.
Quantifying High-order Interdependencies via Multivariate Extensions of the Mutual Information
published pages: , ISSN: 2470-0045, DOI:
Physical Review E 2 2019-10-28
2018 D. Dolan, H.J. Jensen, P.A. Mediano, M. Molina-Solana, H. Rajpal, F. Rosas and J. Sloboda
“The improvisational state of mind: a multidisciplinary study of an improvisatory approach to classical music repertoire performance
published pages: , ISSN: 1663-4365, DOI:
Frontiers in Psychology 2019-10-28
2018 Fernando Rosas, Pedro Mediano, Martín Ugarte, Henrik Jensen
An Information-Theoretic Approach to Self-Organisation: Emergence of Complex Interdependencies in Coupled Dynamical Systems
published pages: 793, ISSN: 1099-4300, DOI: 10.3390/e20100793
Entropy 20/10 2019-10-28
2018 Fernando Rosas, Kwang-Cheng Chen, Deniz Gündüz
Social learning for resilient data fusion against data falsification attacks
published pages: , ISSN: 2197-4314, DOI: 10.1186/s40649-018-0057-7
Computational Social Networks 5/1 2019-10-28
2018 R. Torrea-Duran, F. Rosas, S. Pollin, L. Vandendorpe and M. Moonen
A Multiple-Relay Communica- tion Protocol for Achieving Fairness in Dense Networks
published pages: , ISSN: 2169-3536, DOI:
IEEE Access 2019-10-28

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