Developments on the relevance of SYNERGistic INFOrmation sharing modes

Informazioni relative al progetto

SYNERGINFO

ID dell’accordo di sovvenzione: 702981

DOI 10.3030/702981

Progetto chiuso

Data della firma CE 29 Febbraio 2016

Data di avvio 1 Maggio 2017

Data di completamento 30 Aprile 2019

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale € 183 454,80

Contributo UE € 183 454,80

Coordinato da

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
United Kingdom

Pubblicazioni

Peer reviewed articles (4)

Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains

Autori: Rodrigo Cofré, Cesar Maldonado, Fernando Rosas
Pubblicato in: Entropy, Numero 20/8, 2018, Pagina/e 573, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e20080573

Social learning for resilient data fusion against data falsification attacks

Autori: Fernando Rosas, Kwang-Cheng Chen, Deniz Gündüz
Pubblicato in: Computational Social Networks, Numero 5/1, 2018, ISSN 2197-4314
Editore: Springer Nature
DOI: 10.1186/s40649-018-0057-7

An Information-Theoretic Approach to Self-Organisation: Emergence of Complex Interdependencies in Coupled Dynamical Systems

Autori: Fernando Rosas, Pedro Mediano, Martín Ugarte, Henrik Jensen
Pubblicato in: Entropy, Numero 20/10, 2018, Pagina/e 793, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e20100793

The Improvisational State of Mind: A Multidisciplinary Study of an Improvisatory Approach to Classical Music Repertoire Performance

Autori: David Dolan, Henrik J. Jensen, Pedro A. M. Mediano, Miguel Molina-Solana, Hardik Rajpal, Fernando Rosas, John A. Sloboda
Pubblicato in: Frontiers in Psychology, Numero 9, 2018, ISSN 1664-1078
Editore: Frontiers Research Foundation
DOI: 10.3389/fpsyg.2018.01341

Conference proceedings (2)

“Latent feature disclosure under perfect sample privacy”

Autori: B. Rassouli, F. Rosas, M. Varasteh and D. Gündüz
Pubblicato in: Proceedings of the 2018 IEEE International Workshop on Information Forensics and Security (WIFS), Numero pg. 1-6, 2018
Editore: IEEE

Social diversity for reducing the impact of information cascades on social learning

Autori: Rosas, Fernando; Chen, Kwang-Cheng; Gunduz, Deniz
Pubblicato in: Proceedings of the 8th joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux, 2018, Pagina/e 172-180
Editore: WIC