A new approach for the classification of event related potentials for valid and paradox reasoning

• Autorzy: Papaodysseus C. , Zannos S. , Giannopoulos F. , Arabadjis D. , Rousopoulos P. , Stachtea X. , Papageorgiou C.

Identyfikatory

DOI

10.1016/j.bbe.2015.12.004

• Języki publikacji: EN

Abstrakty

EN

In the present paper, a novel approach is introduced for comparing and classifying recorded ERP signals from subjects applying valid (Aristotle's) and paradox (Zeno's) syllogisms. In fact, the authors conceived and realized a corresponding experiment, as well as a new method for processing, fitting and classifying the corresponding captured ERP signals into groups according to their similarity. Subsequently, for each such group, an ideal curve that represents all signals of the group has been evaluated for valid and paradox reasoning separately. These ‘‘ideal representatives’’ manifest essential statistical differences per subject for a considerable number of electrodes (5 electrodes with 99% level of confidence, 14 electrodes with 95% level of confidence, 17 electrodes with 90% level of confidence). These results support the assumption that the obtained ideal representatives may indeed reflect essential differences in the underlying brain functions which generated the obtained ERPs. Equivalently, one may claim that the performed experiment and the associated results manifest statistically essential differences between the mental functions during valid and paradox reasoning.

Słowa kluczowe

EN

event related potential; curve fitting; valid reasoning; paradox syllogism; Aristotle's reasoning; Zeno's paradoxes

PL

potencjały wywołane; dopasowywanie krzywej; rozumowanie Arystotelesa; paradoksy Zenona

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2016
• Tom: Vol. 36, no. 1
• Strony: 292--301
• Opis fizyczny: Bibliogr. 23 poz., rys., tab., wykr.

Twórcy

autor

Papaodysseus C.

• School of Electrical & Computer Engineering, National Technical University of Athens, Iroon Polytechneiou 9, Zografou 15773, Greece

autor

Zannos S.

• School of Electrical & Computer Engineering, National Technical University of Athens, Greece

autor

Giannopoulos F.

• School of Electrical & Computer Engineering, National Technical University of Athens, Greece

autor

Arabadjis D.

• School of Electrical & Computer Engineering, National Technical University of Athens, Greece

autor

Rousopoulos P.

• School of Electrical & Computer Engineering, National Technical University of Athens, Greece

autor

Stachtea X.

• University Mental Health Research Institute (UMHRI), Athens, Greece

autor

Papageorgiou C.

• University Mental Health Research Institute (UMHRI), Athens, Greece; 1 st Department of Psychiatry, National University of Athens, Medical School, Eginition Hospital, Athens, Greece

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.