In this theme group we bring together researchers from different disciplines to discuss how to model and analyse sleep transitions. The group aims to develop a new theoretical framework for modelling sleep as a nonlinear dynamical system.
Sleep is one of the most mysterious biological mechanisms to study, and the importance of sleep is undeniable when we look at the consequences of insufficient sleep for our ability to learn and memorise, our health and safety, and our quality of life. Understanding different transitions within sleep - such as falling asleep or entering deep sleep - are therefore of great clinical importance, both for sleep disorders as other psychological comorbidities.
One of the challenges is detecting transitions in physiological data (i.e. EEG, fMRI) and how to predict them. Complexity science offers models for such nonlinear complex dynamical behaviour, where early warning signals can predict the tipping point of transitions.