| Grant number: | 13/24889-7 |
| Support Opportunities: | Regular Research Grants |
| Start date: | March 01, 2014 |
| End date: | February 29, 2016 |
| Field of knowledge: | Humanities - Psychology - Cognitive Psychology |
| Principal Investigator: | André Mascioli Cravo |
| Grantee: | André Mascioli Cravo |
| 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 |
| Associated researchers: | Marcelo Bussotti Reyes ; Marcelo Salvador Caetano |
Abstract
We constantly learn and update our beliefs about when certain events will occur. For example, we know the expected interval between a button press on the remote control and the change of the channel, or the interval between a tennis player making its movement to serve and the moment when we should start our response. However, the mechanisms that govern learning of these temporal expectations are still widely unknown. In other words, how do we adapt to a remote control that has a longer delay between pressing the button and the channel change? Or how do we adapt the moment of our motor response when we face a new tennis opponent? In this project, we aim to study: 1. how we learn and update temporal expectations and 2.the neural mechanisms underlying this process. To this end, we propose three sets of experiments that investigate different aspects of temporal learning. In Experiment 1 the objective is to investigate how we learn to allocate our attention to relevant moments. In Experiment 2, we will investigate how we update the time of our motor actions so that events caused by us occur at specific times. In Experiment 3 the aim is to investigate how we store and retrieve information about temporal intervals in our long-term memory. All experiments consist of psychophysical tasks with concurrent EEG recording. The results of each experiment and of the set of experiments at the end of the project will help to elucidade the effects and mechanisms of temporal learning. (AU)
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