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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pizarro, J., Jerónimo, R. & Kotz, S. A. (2017). Predictive coding as a fundamental mechanism underlying emotion recognition and social cognition: A neuroendocrinological approach. XIII PhD Meeting in Social and Organizational Psychology.
Exportar Referência (IEEE) 
J. P. Pizarro et al.,  "Predictive coding as a fundamental mechanism underlying emotion recognition and social cognition: A neuroendocrinological approach", in XIII PhD Meeting in Social and Organizational Psychology, Lisbon, 2017
Exportar BibTeX 
@misc{pizarro2017_1767088689860,
	author = "Pizarro, J. and Jerónimo, R. and Kotz, S. A.",
	title = "Predictive coding as a fundamental mechanism underlying emotion recognition and social cognition: A neuroendocrinological approach",
	year = "2017",
	url = "http://phdmeeting.dpso.iscte.pt/"
}
Exportar RIS 
TY  - CPAPER
TI  - Predictive coding as a fundamental mechanism underlying emotion recognition and social cognition: A neuroendocrinological approach
T2  - XIII PhD Meeting in Social and Organizational Psychology
AU  - Pizarro, J.
AU  - Jerónimo, R.
AU  - Kotz, S. A.
PY  - 2017
CY  - Lisbon
UR  - http://phdmeeting.dpso.iscte.pt/
AB  - Interpersonal coordination in the social world relies on various social
cues includingemotionalexpressions.Becauseemotionalinformationarrivesfrom
multiple sensorial modalities, multisensory emotion integration(MEI)–the process
involved in synthetizing emotional information from cross-modal stimuli –
is crucial for social cognition. Predictive coding(PC) –the capacity that our brain has
to make predictions about future events based on previous ones –has been
considered one of the best candidate mechanism underlying MEI. To further
explore this hypothesis, PC in MEI will be studied in this project by manipulating
exogenousfactorsinfluencingthepredictabilityofemotionalinformation.
Furthermore,the influence of endogenous factors, such as reward-based
motivation and the neuropeptide oxytocin in PC,will also be approached. Behavioral
and electrophysiological (N1, P2 ERPs, and alpha/beta oscillations) measures will be
adopted.
ER  -