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Temporal perception: central or distributed processes?

Abstract

The perception of time intervals is an important feature of cognition. However, the mechanisms underlying this process are still widely discussed. A key question is whether our central nervous system has a central "clock" or different neural networks have mechanisms that can estimate time independently. Professor Dean Buonomano is a leading researcher who defends the idea that temporal perception is a distributed process that can be performed by different neuronal networks. In this project we aim to evaluate this model by testing: (1) if different neural networks can be susceptible to different types of temporal illusions; (2) how neural networks learn and update the estimated time between two events. (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)
BUENO, FERNANDA DANTAS; MORITA, VANESSA C.; DE CAMARGO, RAPHAEL Y.; REYES, MARCELO B.; CAETANO, MARCELO S.; CRAVO, ANDRE M.. Dynamic representation of time in brain states. SCIENTIFIC REPORTS, v. 7, . (15/00794-2, 13/24889-7, 15/04554-6)

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