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Unsupervised Analysis of Event-related Potentials (ERPs) during an emotional Go/NoGo Task

Type of publication Peer-reviewed
Publikationsform Contribution to book (peer-reviewed)
Author Masulli Paolo, Masulli Francesco, Rovetta Stefano, Lintas Alessandra, Villa Alessandro E.P.,
Project NeurEcA: Does working memory training affect decision making? A NeuroEconomic study of ADHD adults and healthy controls
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Contribution to book (peer-reviewed)

Book Fuzzy Logic and Applications WILF 2016
Editor , Loia Vincenzo
Publisher Springer Verlag, Switzerland
Title of proceedings Fuzzy Logic and Applications WILF 2016

Open Access

URL https://serval.unil.ch/resource/serval:BIB_0E3E2E8A87BD.P001/REF
Type of Open Access Repository (Green Open Access)

Abstract

We propose a framework for an unsupervised analysis of electroencephalography (EEG) data based on possibilistic clustering, including a preliminary noise and artefact rejection. The proposed data flow identifies the existing similarities in a set of segments of EEG signals and their grouping according to relevant experimental conditions. The analysis is applied to a set of event-related potentials (ERPs) recorded during the performance of an emotional Go/NoGo task. We show that the clusterization rate of trials in two experimental conditions is able to characterize the participants. The extension of the method and its generalization is discussed.
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