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dc.contributor.author
de la Fuente de la Torre, Laura Alethia
dc.contributor.author
Zamberlan, Federico
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Bocaccio, Hernan
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Kringelbach, Morten
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Deco, Gustavo
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Sanz Perl Hernandez, Yonatan
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Pallavicini, Carla
dc.contributor.author
Tagliazucchi, Enzo Rodolfo
dc.date.available
2023-12-19T13:27:42Z
dc.date.issued
2023-03
dc.identifier.citation
de la Fuente de la Torre, Laura Alethia; Zamberlan, Federico; Bocaccio, Hernan; Kringelbach, Morten; Deco, Gustavo; et al.; Temporal irreversibility of neural dynamics as a signature of consciousness; Oxford Univ Press Inc; Cerebral Cortex; 33; 5; 3-2023; 1856-1865
dc.identifier.issn
1047-3211
dc.identifier.uri
http://hdl.handle.net/11336/220764
dc.description.abstract
Dissipative systems evolve in the preferred temporal direction indicated by the thermodynamic arrow of time. The fundamental nature of this temporal asymmetry led us to hypothesize its presence in the neural activity evoked by conscious perception of the physical world, and thus its covariance with the level of conscious awareness. We implemented a data-driven deep learning framework to decode the temporal inversion of electrocorticography signals acquired from non-human primates. Brain activity time series recorded during conscious wakefulness could be distinguished from their inverted counterparts with high accuracy, both using frequency and phase information. However, classification accuracy was reduced for data acquired during deep sleep and under ketamine-induced anesthesia; moreover, the predictions obtained from multiple independent neural networks were less consistent for sleep and anesthesia than for conscious wakefulness. Finally, the analysis of feature importance scores highlighted transitions between slow (|$approx$|20 Hz) and fast frequencies (>40 Hz) as the main contributors to the temporal asymmetry observed during conscious wakefulness. Our results show that a preferred temporal direction is manifest in the neural activity evoked by conscious mentation and in the phenomenology of the passage of time, establishing common ground to tackle the relationship between brain and subjective experience.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Oxford Univ Press Inc
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
states of Consciousness
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neural dynamics
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deep learning
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temporal irreversibility
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Otras Ciencias Físicas
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Temporal irreversibility of neural dynamics as a signature of consciousness
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-12-19T12:21:31Z
dc.journal.volume
33
dc.journal.number
5
dc.journal.pagination
1856-1865
dc.journal.pais
Reino Unido
dc.journal.ciudad
Oxford
dc.description.fil
Fil: de la Fuente de la Torre, Laura Alethia. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina
dc.description.fil
Fil: Zamberlan, Federico. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Tilburg University; Países Bajos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Bocaccio, Hernan. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Kringelbach, Morten. Tilburg University; Países Bajos. University of Oxford; Reino Unido
dc.description.fil
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Monash University; Australia. Max Planck Institute for Human Cognitive and Brain Sciences; Alemania
dc.description.fil
Fil: Sanz Perl Hernandez, Yonatan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universitat Pompeu Fabra; España
dc.description.fil
Fil: Pallavicini, Carla. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Tagliazucchi, Enzo Rodolfo. Universidad Adolfo Ibañez; Chile. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Cerebral Cortex
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/cercor/article/33/5/1856/6577164
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1093/cercor/bhac177
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