numerical integration; frequency-tagged EEG; number processing
Résumé :
[en] How humans integrate and abstract numerical information across different formats is one of the most debated questions in human cognition. We addressed the neuronal signatures of the numerical integration using an EEG technique tagged at the frequency of visual stimulation. In an oddball design, participants were stimulated with standard sequences of numbers (<5) depicted in single (digits, dots, number words) or mixed notation (dots – digits, number words – dots, digits – number words), presented at 10Hz. Periodically, a deviant stimulus (>5) was inserted at 1.25 Hz. We observed significant oddball amplitudes for all single notations, showing for the first time using this EEG technique, that the magnitude information is spontaneously and unintentionally abstracted, irrespectively of the numerical format. Significant amplitudes were also observed for digits – number words and number words – dots, but not for digits – dots, suggesting an automatic integration across some numerical formats. These results imply that direct and indirect neuro-cognitive links exist across the different numerical formats.
Disciplines :
Neurosciences & comportement
Auteur, co-auteur :
MARINOVA, Mila ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
GEORGES, Carrie ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
Guillaume, Mathieu; Stanford University > Graduate School of Education
Reynvoet, Bert; KU Leuven > Faculty of Psychology and Educational Sciences
Van Rinsveld, Amandine; Stanford University > Graduate School of Education
SCHILTZ, Christine ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Automatic Integration of Numerical Formats Examined with Frequency-tagged EEG