Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators

1 code implementation • 17 Feb 2021 • Teresa Chouzouris, Nicolas Roth, Caglar Cakan, Klaus Obermayer

Optimal control inputs to nodes are determined by minimizing a cost functional that penalizes the deviations from a desired network dynamic, the control energy, and spatially non-sparse control inputs.

Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleep

2 code implementations • 30 Nov 2020 • Caglar Cakan, Cristiana Dimulescu, Liliia Khakimova, Daniela Obst, Agnes Flöel, Klaus Obermayer

We address the mechanism of how SOs emerge and recruit large parts of the brain using a whole-brain model constructed from empirical connectivity data in which SOs are induced independently in each brain area by a local adaptation mechanism.

EEG

Biophysically grounded mean-field models of neural populations under electrical stimulation

2 code implementations • 3 Jun 2019 • Caglar Cakan, Klaus Obermayer

We evaluate a reduced mean-field model of excitatory and inhibitory adaptive exponential integrate-and-fire (AdEx) neurons which can be used to efficiently study the effects of electrical stimulation on large neural populations.