Search Results for author: Enzo Tagliazucchi

Found 6 papers, 0 papers with code

Entropy production of Multivariate Ornstein-Uhlenbeck processes correlates with consciousness levels in the human brain

no code implementations11 Jul 2022 Matthieu Gilson, Enzo Tagliazucchi, Rodrigo Cofre

Consciousness is supported by complex patterns of brain activity which are indicative of irreversible non-equilibrium dynamics.

Model-based machine learning of critical brain dynamics

no code implementations10 Jun 2022 Hernan Bocaccio, Enzo Tagliazucchi

Criticality can be exactly demonstrated in certain models of brain activity, yet it remains challenging to identify in empirical data.

BIG-bench Machine Learning

Cognitive forces shape the dynamics of word usage across multiple languages

no code implementations12 Jan 2022 Alejandro Pardo Pintos, Diego E Shalom, Enzo Tagliazucchi, Gabriel Mindlin, Marcos A Trevisan

The analysis of thousands of time series in different languages reveals that word usage presents oscillations with a prevalence of 16-year cycles, mounted on slowly varying trends.

Time Series Time Series Analysis

Non-equilibrium brain dynamics as a signature of consciousness

no code implementations19 Dec 2020 Yonatan Sanz Perl, Hernan Bocaccio, Ignacio Perez-Ipina, Steven Laureys, Helmut Laufs, Morten Kringelbach, Gustavo Deco, Enzo Tagliazucchi

The cognitive functions of human and non-human primates rely on the dynamic interplay of distributed neural assemblies.

Unconsciousness reconfigures modular brain network dynamics

no code implementations19 Dec 2020 Sofia Morena del Pozo, Helmut Laufs, Vincent Bonhomme, Steven Laureys, Pablo Balenzuela, Enzo Tagliazucchi

The dynamic core hypothesis posits that consciousness is correlated with simultaneously integrated and differentiated assemblies of transiently synchronized brain regions.

Generative embeddings of brain collective dynamics using variational autoencoders

no code implementations2 Jul 2020 Yonatan Sanz Perl, Hernán Boccacio, Ignacio Pérez-Ipiña, Federico Zamberlán, Helmut Laufs, Morten Kringelbach, Gustavo Deco, Enzo Tagliazucchi

We consider the problem of encoding pairwise correlations between coupled dynamical systems in a low-dimensional latent space based on few distinct observations.

Neurons and Cognition

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