New Insights into the Mechanisms of Human Observational Learning
The observation of others’ choices is an important means by which we can learn about the world and communicate with others. We propose a new uncertainty-based observational learning model in which individuals use not only information about observed choices themselves, but also the time taken to make them, allowing them to make inferences about others uncertainty. We show that this model efficiently learns observed values and describes the behaviour of subjects in a novel observational learning task with a computer agent whose reaction times are manipulated. The model predicts that specific quantities, namely value differences, individual uncertainty, and observed uncertainty, should each be co-represented in the brain. We tested this in a human versus human fMRI hyper-scanning task, and show that they have a convergent representation in lateral orbitofrontal cortex, suggesting this region is central to the social learning network.
Date: 13 June 2016, 13:00 (Monday, 8th week, Trinity 2016)
Venue: Tinbergen Building, South Parks Road OX1 3PS
Venue Details: C113 Weiskrantz Room
Speaker: Dr Wako Yoshida (ATR Institute International, Kyoto, Japan / Visiting Researcher, Cambridge)
Organising department: Department of Experimental Psychology
Host: Nils Kolling (Junior Research Fellow, Experimental Psychology, University of Oxford)
Booking required?: Not required
Audience: Members of the University only
Editor: Janice Young