SYNERGINFO
Developments on the relevance of SYNERGistic INFOrmation sharing modes
Total Cost €
0EC-Contrib. €
0Partnership
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0SYNERGINFO project word cloud
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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 contact info |
| 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.
| # | ||||
|---|---|---|---|---|
| 1 | IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE | UK (LONDON) | coordinator | 183˙454.00 |
Map
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 |
|---|---|---|---|
| 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, MartÃn 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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