This workshop will explore a unique combination of data- and model-driven approach by inviting mathematicians and scientists focusing on neurosciences and beyond. We will have an in-depth discussion of data-driven modeling techniques, dynamics reconstruction and characterization over multiple scales treating the underlying systems as structures in space as well as structures in time. Problems to be discussed include: predicting critical transitions from multivariate time series; extracting interactions between brain areas and the effects of anaesthetics; understanding the effects pathologies in the network connectivity and modeling ways to alleviate them; introducing and studying models that depart from functional connectivity.
This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.
Tiago Pereira (University of São Paulo (USP))
Aneta Stefanovska (Lancaster University)
Sebastian van Strien (Imperial College)