Dr Emanuele De Luca
- Lecturer (Psychology)
CONSULTATION HOURS: Thursday 10-12 (email please for appointments)
My contribution to teaching includes supervision, formal lectures, tutorials and laboratories at both undergraduate and postgraduate level (mainly research methods, physiological psychology, cognitive neuroscience). I am particularly interested in the development of new technologies for distance learning. Currently involved in the development of online postgraduate courses (BOLD initiative). I am interested in the neural mechanisms underlying human decision making and learning under uncertainty (neuroeconomics). Recently, we combined ideas from a range of disciplines (psychology, neuroscience, engineering and economics) and used a variety of neuroimaging techniques to provide a spatiotemporal characterisation of reward and risk prediction errors, and how these signals are processed in social and non-social contexts. Earlier work employed a combination of economic games and fMRI to directly compare the neural networks representing social and non-social prediction errors in the human brain. We also used vision science techniques (e.g. retinotopic mapping) to investigate risk-reward predictions in primary visual areas.