Abstract
Brain activity is vastly multidimensional and complex. Not only across subjects, but also across experimental repetitions or trials, brain patterns show great variability that traditional methods are often limited to accommodate.
As a way to find structure within this complexity, thus enabling efforts to find meaningful associations to behaviour, the Hidden Markov Model (HMM) has emerged in the last years as a general family of models that can be used across data modalities.
In this talk, Professor Diego Vidaurre will introduce the HMM in its most general form, and discuss two problems/solutions:
- how the HMM can help us to describe the unique information that individual trials have above and beyond crude averages;
- how we can use the individual subject HMMs to predict individual traits such as brain age or intelligence.
Professor Diego Vidaurre has worked at the Oxford Center for Human Brain Activity from 2012-2019. He then moved to Aarhus University, Denmark, where he now runs the Analysis Group at the Center for Functionally Integrative Neuroscience.
Description:
The seminar is open to interested researchers and students.
The seminar will be in English.
No registration required.
Hosts
Department of Special Needs Education
Organizer
Vanja Kljajevic, Melanie Kirmess and Department of Special Needs Education