Suitability of a neuronal dynamics model to neurophysiological properties of time perception

• Grant number: 16/19691-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: December 01, 2016
• End date: December 31, 2016
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Marcelo Bussotti Reyes
• Grantee: Thiago Tarraf Varella
• Host Institution: Centro de Matemática, Computação e Cognição (CMCC). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil

Abstract

A major issue on the understanding of cognition is temporal judgement. Mechanisms behind this judgment are not fully understood yet. With this project, we will analyze different models of time perception and develop a stochastic neuronal model. The model aims to describe psychophysical properties observed experimentally, such as the scalar property and the interval bisection at the geometric mean. We will also seek to relate these psychophysical results with the observation of time cells in electrophysiological experiments. (AU)

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)

VARELLA, THIAGO T.; REYES, MARCELO BUSSOTTI; CAETANO, MARCELO S.; DE CAMARGO, RAPHAEL Y.. A model for the peak-interval task based on neural oscillation-delimited states. Behavioural Processes, v. 168, NOV 2019. (16/19691-1)