Mostrar el registro sencillo del ítem

dc.contributor.author
Faivre, Nathan  
dc.contributor.author
Filevich, Elisa  
dc.contributor.author
Solovey, Guillermo  
dc.contributor.author
Kühn, Simone  
dc.contributor.author
Blanke, Olaf  
dc.date.available
2018-09-19T18:24:17Z  
dc.date.issued
2018-01  
dc.identifier.citation
Faivre, Nathan; Filevich, Elisa; Solovey, Guillermo; Kühn, Simone; Blanke, Olaf; Behavioral, modeling, and electrophysiological evidence for supramodality in human metacognition; Society for Neuroscience; Journal of Neuroscience; 38; 2; 1-2018; 263-277  
dc.identifier.issn
0270-6474  
dc.identifier.uri
http://hdl.handle.net/11336/60265  
dc.description.abstract
Human metacognition, or the capacity to introspect on one’s own mental states, has been mostly characterized through confidence reports in visual tasks. A pressing question is to what extent results from visual studies generalize to other domains. Answering this question allows determining whether metacognition operates through shared, supramodal mechanisms or through idiosyncratic, modality-specific mechanisms. Here, we report three new lines of evidence for decisional and postdecisional mechanisms arguing for the supramodality of metacognition. First, metacognitive efficiency correlated among auditory, tactile, visual, and audiovisual tasks. Second, confidence in an audiovisual task was best modeled using supramodal formats based on integrated representations of auditory and visual signals. Third, confidence in correct responses involved similar electrophysiological markers for visual and audiovisual tasks that are associated with motor preparation preceding the perceptual judgment. We conclude that the supramodality of metacognition relies on supramodal confidence estimates and decisional signals that are shared across sensory modalities.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Society for Neuroscience  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Audiovisual  
dc.subject
Confidence  
dc.subject
Eeg  
dc.subject
Metacognition  
dc.subject
Signal Detection Theory  
dc.subject
Supramodality  
dc.subject.classification
Bioquímica y Biología Molecular  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Behavioral, modeling, and electrophysiological evidence for supramodality in human metacognition  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-09-17T19:30:11Z  
dc.journal.volume
38  
dc.journal.number
2  
dc.journal.pagination
263-277  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Washington  
dc.description.fil
Fil: Faivre, Nathan. Swiss Federal Institute of Technology Zurich; Suiza. Centre National de la Recherche Scientifique; Francia  
dc.description.fil
Fil: Filevich, Elisa. Max Planck Institute for Human Development; Alemania. Humboldt Universität zu Berlin; Alemania. Bernstein Center for Computational Neuroscience Berlin; Alemania  
dc.description.fil
Fil: Solovey, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina  
dc.description.fil
Fil: Kühn, Simone. Max Planck Institute for Human Development; Alemania. University Medical Center Hamburg-Eppendorf; Alemania  
dc.description.fil
Fil: Blanke, Olaf. Swiss Federal Institute of Technology Zurich; Suiza. Universidad de Ginebra; Suiza  
dc.journal.title
Journal of Neuroscience  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1523/JNEUROSCI.0322-17.2017  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.jneurosci.org/content/38/2/263