Emotion-Antecedent Appraisal Checks: EEG and EMG datasets for Novelty and Pleasantness [Data set]

Coutinho, E ORCID: 0000-0001-5234-1497, van Peer, J, Grandjean, D and Scherer, KR (2017) Emotion-Antecedent Appraisal Checks: EEG and EMG datasets for Novelty and Pleasantness [Data set]. Zenodo.

Text
study1_dataset_description.pdf - Unspecified
Download (204kB)

Official URL: https://doi.org/10.5281/zenodo.197404

Abstract

This document describes the full details of the first data set (Study 1) used in Coutinho et al., to appear. The Electroencephalography (EEG) and facial Electromyography (EMG) signals included in this dataset, and now made public, were collected in the context of a previous study by Peer, Grandjean, and Scherer, 2014 that addressed three fundamental questions regarding the mechanisms underlying the appraisal process: Whether appraisal criteria are processed (a) in a fixed sequence, (b) independent of each other, and (c) by different neural structures or circuits. In that study, an oddball paradigm with affective pictures was used to experimentally manipulate novelty and intrinsic pleasantness appraisals. EEG was recorded during task performance, together with facial EMG, to measure, respectively, cognitive processing and efferent responses stemming from the appraisal manipulations.

Item Type:	Other
Uncontrolled Keywords:	Appraisal, Classification, Machine Learning, Pleasantness,, Novelty, EEG, EMG
Depositing User:	Symplectic Admin
Date Deposited:	04 Dec 2017 11:59
Last Modified:	19 Jan 2023 06:48
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3013394