Daniel Durstewitz: Deep Learning of dynamical systems for mechanistic insight and prediction in...

Computational Psychiatry 2020 “Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry“ Daniel Durstewitz - Ruprecht-Karls-Universität Heidelberg Abstract: Dynamical systems theory (DST) provides a unifying formal language within which many natural and real world phenomena at multiple time scales can be described, analyzed, and predicted. In particular, neural and behavioral phenomena evolve in time, and this temporal dynamics is essential for understanding the underlying p