@misc{
 title = {Emotion-Antecedent Appraisal Checks: EEG and EMG datasets for Novelty and Pleasantness},
 type = {misc},
 year = {2017},
 keywords = {dataset},
 pages = {1-4},
 websites = {https://doi.org/10.5281/zenodo.197404},
 month = {12},
 publisher = {Zenodo},
 id = {6d777035-0e68-3ddd-a2ba-ffee48b7536f},
 created = {2024-08-09T12:19:59.450Z},
 file_attached = {true},
 profile_id = {ffa9027c-806a-3827-93a1-02c42eb146a1},
 group_id = {da2a8249-fdf4-3036-ba56-7358198a1600},
 last_modified = {2024-08-09T12:20:19.499Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {coutinho2017emotionantecedentset},
 source_type = {DATASET},
 private_publication = {false},
 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.},
 bibtype = {misc},
 author = {van Peer, J. and Coutinho, E. and Grandjean, D. and Scherer, K. R.},
 doi = {10.5281/zenodo.197404}
}

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