In this webinar, Dr Ashley Tyrer will first briefly introduce the concept of Dynamic Causal Modelling and how this framework may be optimal to address your specific research questions. We will then use data acquired from an event-related visual memory paradigm to construct potential networks of activity and perform Dynamic Causal Modelling of Evoked Responses, using a conductance-based neural mass model as an example. We will also work through the assumptions and parameterizations of the neural mass models, in addition learning how to use the SPM12 graphical user interface in MATLAB.
Register here: https://docs.google.com/forms/d/e/1FAIpQLSc5ANdXuWcS9UtznBzOojWJ82SfpXeTPPvTOOAlKmBGoC6DUQ/viewform
Ashley is a postdoctoral researcher in the Embodied Computation Group (ECG) at Aarhus University, Denmark. Her research focuses on the effects of noradrenaline on uncertainty and decision-making, and how these may be compromised in neurodevelopmental disorders such as ADHD. Ashley has contributed her expertise at the Computational Psychiatry Course at ETH Zurich and the SPM for M/EEG course at UCL, tutoring students on how to conduct Dynamic Causal Modelling for evoked responses in M/EEG data. Before moving to Denmark, Ashley completed her PhD as part of the Wellcome Trust Neural Dynamics PhD Programme at the University of Bristol, UK, with Prof Rosalyn Moran, during which she applied both Dynamic Causal Modelling of EEG and fMRI data, and Active Inference modelling of human decision making.