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Attention and expectation effects on neural processing

Grant number: 16/04258-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): July 01, 2017
Effective date (End): February 29, 2020
Field of knowledge:Humanities - Psychology - Cognitive Psychology
Cooperation agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
Principal researcher:André Mascioli Cravo
Grantee:Louise Catheryne Barne
Home Institution: Centro de Matemática, Computação e Cognição (CMCC). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil
Associated scholarship(s):18/08844-7 - Neural mechanisms of temporal anticipation in vision and audition., BE.EP.DR


Attention is a fundamental process to optimize the computational capacity of a biological system. Knowing when and where something will happen facilitates the stimuli processing. In some situations, however, predictive mechanisms can also be used to inhibit responses, such as the attempting to ignore certain sound or visual stimulation. In both cases, we use anticipatory information, but with different purposes. While attentional processes have been extensively studied in recent years, expectation effects to inhibit processing are not well known. One alternative to study the processes separately is by using tasks where the expected stimuli do not require a behavioral response, that is, do not require attention. However, this protocol strategy complicates the inference about how the stimulus is being processed. Recently, studies have been developing new brain state decoding methods using EEG/MEG responses. Under these circumstances, we aim to use such methods to investigate the effects of attention and expectation on sensory processing. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BARNE, LOUISE C.; DE LANGE, FLORIS P.; CRAVO, ANDRE M. Prestimulus alpha power is related to the strength of stimulus representation. CORTEX, v. 132, p. 250-257, NOV 2020. Web of Science Citations: 0.

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