- Wednesday, January 31st 2024 at 16:00 - 17:00 UK (Other timezones)
- General participation info | Participate online | + Phone in Meeting ID: 972 4297 4350 Passcode: 205293 Find your local number: https://ucl.zoom.us/u/aedyEiW1A6
Computational psychiatry is a rapidly growing field. As it matures, questions about how to synthesise the burgeoning literature become ever-more important. In this talk, I will briefly summarise and introduce meta-analytic considerations and techniques that can be used, particularly those that exploit some of the unique properties of computational modelling. I will then highlight a specific application from my own research – a meta-analysis of reinforcement learning in mood and anxiety disorders. Finally, I will discuss how, in the context of computational psychiatry, some general meta-analytic limitations are overcome, whilst other novel limitations arise – and the broader field-specific assumptions that these issues shed light on.
Dr. Alexandra Pike
Lecturer, Department of Psychology, University of York