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Authors: Solomon Zannos 1 ; Fotios Giannopoulos 1 ; Dimitrios Arabadjis 1 ; Panayiotis Rousopoulos 1 ; Panos Papageorgiou 2 ; Elias Koukoutsis 1 ; Constantin Papaodysseus 1 and Charalabos Papageorgiou 3

Affiliations: 1 National Technical University of Athens, Greece ; 2 University of Patras, Greece ; 3 University Mental Health Research Institute (UMHRI), National University of Athens, Medical School and Eginition Hospital, Greece

Keyword(s): Event related potentials (ERPs), Curve fitting, Valid reasoning, Paradox syllogism, Aristotle’s reasoning, Zeno’s paradoxes.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: In this paper, a new methodology is presented for comparing the ERPs of Aristotle's "valid reasoning" and Zeno's "paradoxes". To achieve that, the ERPs of each such syllogism are grouped, by means of a new care-fitting approach. This consists of a) application of time-domain and amplitude scaling to one ERP and b) optimal fit of two ERPs via minimization of a properly defined error function. Next, the optimally fit ERPs, which form a group, are averaged to obtain an ideal representative for the valid and paradoxes reasoning separately. These ideal representatives manifest essential statistical differences per subject for a considerable number of electrodes (18 electrodes). The latter supports the assumption that the underlying mental processes of the valid and paradoxes reasoning are, indeed, different and this difference reflects upon the corresponding ERPs and, in particular, upon the introduced ideal representatives.

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Paper citation in several formats:
Zannos, S.; Giannopoulos, F.; Arabadjis, D.; Rousopoulos, P.; Papageorgiou, P.; Koukoutsis, E.; Papaodysseus, C. and Papageorgiou, C. (2012). CLASSIFYING EVENT RELATED POTENTIALS FOR VALID AND PARADOX REASONING. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - BIOSIGNALS; ISBN 978-989-8425-89-8; ISSN 2184-4305, SciTePress, pages 218-225. DOI: 10.5220/0003767702180225

@conference{biosignals12,
author={Solomon Zannos. and Fotios Giannopoulos. and Dimitrios Arabadjis. and Panayiotis Rousopoulos. and Panos Papageorgiou. and Elias Koukoutsis. and Constantin Papaodysseus. and Charalabos Papageorgiou.},
title={CLASSIFYING EVENT RELATED POTENTIALS FOR VALID AND PARADOX REASONING},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - BIOSIGNALS},
year={2012},
pages={218-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003767702180225},
isbn={978-989-8425-89-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - BIOSIGNALS
TI - CLASSIFYING EVENT RELATED POTENTIALS FOR VALID AND PARADOX REASONING
SN - 978-989-8425-89-8
IS - 2184-4305
AU - Zannos, S.
AU - Giannopoulos, F.
AU - Arabadjis, D.
AU - Rousopoulos, P.
AU - Papageorgiou, P.
AU - Koukoutsis, E.
AU - Papaodysseus, C.
AU - Papageorgiou, C.
PY - 2012
SP - 218
EP - 225
DO - 10.5220/0003767702180225
PB - SciTePress