Georgia Koppe

The paper uses a data-driven framework combining dynamical system reconstruction and model predictive control to analyze neural state transitions in fMRI data from individuals with remitted major depressive disorder and healthy controls.

This study identifies a species-conserved mechanism of hypothesis testing in rats and humans during rule learning, which enhances cognitive flexibility in complex environments.

This study investigates the neural correlates of self-referential belief processes using fMRI, finding distinct activation patterns in the vmPFC for belief and self-belief.

This paper reviews the use of recurrent neural networks for dynamical systems reconstruction in neuroscience, discussing methods, validation, and applications.