Author

G. Deco

Universitat Pompeu Fabra

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2 Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:clustering· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1

Frequent Co-Authors

Elvira BratticoiD· 2 shared Gabriele DonatiiD· 2 shared Leonardo BonettiiD· 2 shared M. L. Kringelbach· 2 shared Morten L. KringelbachiD· 2 shared Peter VuustiD· 2 shared A. Goriely· 1 shared C. Pallacivini· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersNeuroscience

Elvira BratticoORCID

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Author profile →

4 papers

Recent·Most cited

Multilevel irreversibility reveals higher-order organisation of non-equilibrium interactions in human brain dynamics

R. Nartallo-Kaluarachchi, L. Bonetti, G. Fernandez-Rubio, P. Vuust, G. Deco, M. L. Kringelbach, R. Lambiotte, A. Goriely

This paper introduces a framework to quantify irreversibility in brain network dynamics across multiple levels and identifies higher-order organizational patterns in human brain interactions.

bioRxiv · May 2, 2024 · PreprintBiophysics

Temporal pattern recognition in the human brain: a dual simultaneous processing

Leonardo Bonetti, Elvira Brattico, S.E.P. Bruzzone, Gabriele Donati, G. Deco, Dimitrios Pantazis, Peter Vuust, Morten L. Kringelbach

The paper identifies a dual simultaneous processing mechanism in the human brain for temporal pattern recognition using MEG and MRI.

bioRxiv · Oct 21, 2021 · PreprintNeuroscience

Rapid encoding of temporal sequences discovered in brain dynamics

Leonardo Bonetti, Elvira Brattico, Francesco Carlomagno, Gabriele Donati, Joana Cabral, Niels Trusbak Haumann, G. Deco, Peter Vuust, Morten L. Kringelbach

The paper investigates rapid brain mechanisms for encoding and predicting complex temporal sound sequences using MEG data from 68 participants.

bioRxiv · Dec 11, 2020 · PreprintNeuroscience

Data augmentation based on dynamical systems for the classification of brain states

Y. Sanz Perl, C. Pallacivini, I. Perez Ipina, M. L. Kringelbach, G. Deco, H. Laufs, E. Tagliazucchi

This paper uses whole-brain computational models to generate synthetic data for brain state classification, achieving comparable accuracy to empirical data.

bioRxiv · Jan 8, 2020Biophysics