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Temporal perception: central or distributed processes?

Grant number:15/00794-2
Support Opportunities:Research Grants - Visiting Researcher Grant - International
Start date: July 11, 2015
End date: July 18, 2015
Field of knowledge:Humanities - Psychology - Cognitive Psychology
Principal Investigator:André Mascioli Cravo
Grantee:André Mascioli Cravo
Visiting researcher:Dean Buonomano
Visiting researcher institution: University of California, Los Angeles (UCLA) , United States
Host Institution: Centro de Matemática, Computação e Cognição (CMCC). Universidade Federal do ABC (UFABC). Santo André , SP, Brazil
City of the host institution:Santo André

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)

Articles published in Agência FAPESP Newsletter about the research grant:
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Articles published in other media outlets ( ):
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Scientific publications
(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)
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)