Recording
Speaker
Toby Wise
Bio
Toby Wise is a Senior Research Fellow in the Department of Neuroimaging at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London.Toby started his academic career with a BSc in Psychology and MSc in Cognitive Neuroscience at the University of Sussex, before completing a PhD at the Institute of Psychiatry, Psychology and Neuroscience at King’s College London, where he focused on neuroimaging markers of depression and bipolar disorder. He then completed postdoctoral work at UCL and Caltech supported by a Sir Henry Wellcome postdoctoral fellowship from the Wellcome Trust. He returned to King’s College London in 2021 supported by a King’s Prize Fellowship, before starting his lab in 2023 supported by a Career Development Award from the Wellcome Trust.
Abstract
Estimating and responding to uncertainty appropriately is critical for learning, especially in environments that are changeable and difficult to predict. Simultaneously, perceptions of uncertainty are intimately linked to mental health problems such as anxiety disorders. In this talk, I will cover a set of studies that have used computational modelling to understand how humans learn about uncertainty, quantify individual-level estimates of uncertainty, and link these estimates to symptoms of common mental health problems. The results of these studies provide insights into how uncertainty guides learning across different contexts, and how the process of estimating uncertainty may go awry in mental health conditions.