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Decoding of temporal intervals and predictive errors in neural signals.

Grant number: 16/24951-2
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): May 01, 2017
Effective date (End): August 31, 2021
Field of knowledge:Humanities - Psychology - Cognitive Psychology
Principal researcher:André Mascioli Cravo
Grantee:Mateus Silvestrin
Home Institution: Centro de Matemática, Computação e Cognição (CMCC). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil

Abstract

Interactions between expectations and sensory information are an important part of percptual processing. There are known evidences of how such interactions are reflected on neural correlates and how they modulate human senses like vision and audition. Evidences alike for time perception are scarse. Some models of perceptual processing propose that the difference between prediction about sensory stimulation and stimulation actually received, the predictive error, is a key element in neural processing. Some works have identified dynamic representations of the predictive error in neural patterns of sensorial processing. Studies investigating the presence of a similar mechaninsm for timing are lacking. This project proposes the use of experiments with EEG acquisition and methods of multivariate pattern analysis to investigate: (1) if time intervals are represented in neural signal patterns, (2) if predicive errors are represented in those same patterns and (3) if these representations vary with sensory quality of the stimulus and with expectation certanty. (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)
SILVEIRA, MARCELO V.; SILVESTRIN, MATEUS; VILELA, EDUARDO C.; DE ROSE, JULIO C.; ARNTZEN, ERIK; CAETANO, MARCELO S. Equivalence relations do exist before they are tested: Confirmatory evidence revealed by EEG measurements. JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR, v. 115, n. 1, SI, p. 284-295, JAN 2021. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.