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dc.contributor.author
Cofré, Rodrigo  
dc.contributor.author
Herzog, Rubén  
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Mediano, Pedro A.M.  
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Piccinini, Juan Ignacio  
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Rosas, Fernando E.  
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Sanz Perl Hernandez, Yonatan  
dc.contributor.author
Tagliazucchi, Enzo Rodolfo  
dc.date.available
2021-11-05T10:43:05Z  
dc.date.issued
2020-09  
dc.identifier.citation
Cofré, Rodrigo; Herzog, Rubén; Mediano, Pedro A.M.; Piccinini, Juan Ignacio; Rosas, Fernando E.; et al.; Whole-brain models to explore altered states of consciousness from the bottom up; Molecular Diversity Preservation International; Brain Sciences; 10; 9; 9-2020; 1-29  
dc.identifier.issn
2076-3425  
dc.identifier.uri
http://hdl.handle.net/11336/146072  
dc.description.abstract
The scope of human consciousness includes states departing from what most of us experience as ordinary wakefulness. These altered states of consciousness constitute a prime opportunity to study how global changes in brain activity relate to different varieties of subjective experience. We consider the problem of explaining how global signatures of altered consciousness arise from the interplay between large-scale connectivity and local dynamical rules that can be traced to known properties of neural tissue. For this purpose, we advocate a research program aimed at bridging the gap between bottom-up generative models of whole-brain activity and the top-down signatures proposed by theories of consciousness. Throughout this paper, we define altered states of consciousness, discuss relevant signatures of consciousness observed in brain activity, and introduce whole-brain models to explore the biophysics of altered consciousness from the bottom-up. We discuss the potential of our proposal in view of the current state of the art, give specific examples of how this research agenda might play out, and emphasize how a systematic investigation of altered states of consciousness via bottom-up modeling may help us better understand the biophysical, informational, and dynamical underpinnings of consciousness.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Molecular Diversity Preservation International  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ALTERED STATES OF CONSCIOUSNESS  
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INTEGRATED INFORMATION THEORY  
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PSYCHEDELICS  
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SIGNATURES OF CONSCIOUSNESS  
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WHOLE-BRAIN MODELS  
dc.subject.classification
Otras Ciencias Físicas  
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Ciencias Físicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Whole-brain models to explore altered states of consciousness from the bottom up  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-09-07T18:22:00Z  
dc.journal.volume
10  
dc.journal.number
9  
dc.journal.pagination
1-29  
dc.journal.pais
Países Bajos  
dc.description.fil
Fil: Cofré, Rodrigo. Universidad de Valparaíso; Chile  
dc.description.fil
Fil: Herzog, Rubén. Universidad de Valparaíso; Chile  
dc.description.fil
Fil: Mediano, Pedro A.M.. University of Cambridge; Estados Unidos  
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Fil: Piccinini, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina  
dc.description.fil
Fil: Rosas, Fernando E.. Imperial College London; Reino Unido  
dc.description.fil
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Tagliazucchi, Enzo Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina  
dc.journal.title
Brain Sciences  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/brainsci10090626