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Tytuł pozycji:

What if you are not sure? Electroencephalographic correlates of subjective confidence level about a decision

Tytuł :
What if you are not sure? Electroencephalographic correlates of subjective confidence level about a decision
Autorzy :
SELIMBEYOGLU, A
KESKIN-ERGEN, Y
DEMIRALP, T
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Temat :
Electrophysiologie
Electrophysiology
Electrofisiología
Analyse phase
Phase analysis
Análisis fase
Analyse temporelle
Time analysis
Análisis temporal
Décision
Decision
Decisión
Electroencéphalographie
Electroencephalography
Electroencefalografía
Homme
Human
Hombre
Incertitude
Uncertainty
Incertidumbre
Monitorage
Monitoring
Monitoreo
Potentiel évoqué cognitif
Event evoked potential
Potencial evocado cognitivo
Prise de décision
Decision making
Toma decision
Précision
Accuracy
Precisión
Synchronisation
Synchronization
Sincronización
Sélection
Selection
Selección
Tâche discrimination
Discrimination task
Tarea discriminatoria
ERN
Error monitoring
P3
Pe
Subjective confidence
Sciences biologiques et medicales
Biological and medical sciences
Sciences biologiques fondamentales et appliquees. Psychologie
Fundamental and applied biological sciences. Psychology
Psychologie. Psychophysiologie
Psychology. Psychophysiology
Perception
Vision
Sciences medicales
Medical sciences
Techniques d'exploration et de diagnostic (generalites)
Investigative techniques, diagnostic techniques (general aspects)
Electrodiagnostic. Enregistrement des activités électriques
Electrodiagnosis. Electric activity recording
Système nerveux
Nervous system
Psychologie. Psychanalyse. Psychiatrie
Psychology. Psychoanalysis. Psychiatry
Neurology
Neurologie
Źródło :
Clinical neurophysiology. 123(6):1158-1167
Wydawca :
Oxford: Elsevier, 2012.
Rok publikacji :
2012
Opis fizyczny :
print; 10; 3/4 p
Materiał oryginalny :
INIST-CNRS
Typ dokumentu :
Article
Opis pliku :
text
Język :
English
Afiliacje autora :
Istanbul University, Institute for Experimental Medical Research, Department of Neurosciences, 34093 Capa-Istanbul, Turkey
Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA, United States
Istanbul University, Istanbul Faculty of Medicine, Department of Physiology, 34093 Capa-Istanbul, Turkey
ISSN :
1388-2457
Dostęp URL :
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=25952201
Prawa :
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Numer akcesji :
edsfra.25952201
Czasopismo naukowe
Objective: Action monitoring has been studied in terms of EEG correlates of accuracy/inaccuracy. EEG signals related to the confidence level (uncertainty) of the subject about given responses remain to be clarified. Methods: Two discrimination tasks that create difficulty in stimulus processing and response selection stages of decision making were used. Conditions were certain-hit (hit trials where subjects were certain), certain-error (trials where subject was aware of the error), uncertain (trials where subject was uncertain). Analyzes of event-related potentials (ERP) (ERN, Pe, P3) in the time domain were extended by time-frequency analysis of both phase-locked and non-phase-locked oscillatory activities. Results: Errors caused by difficulty in stimulus processing led more uncertainty than the ones related to the response selection, and tended to elicit ERN with shorter latency. Each condition was discriminated from the others by at least one parameter. Uncertainty was discriminated by total theta activity following response, total delta activity following stimulus and mean P3 amplitude. Conclusions: Subjective confidence levels of decision making can be discriminated by time and time-frequency analyses of ERPs and EEG. Significance: Time-frequency parameters of EEG can be useful in the detection of subjective confidence in single-trials, which might be efficiently used for faster human-computer interaction.

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