Many challenging problems that consider the analysis and control of neural brain rhythms
have been motivated by the advent of deep brain stimulation as a therapeutic treatment for a …

The emergence of collective behaviors in networks of dynamical units in pairwise interaction
has been explained as the effect of diffusive coupling. How does the presence of higher …

We present a framework for designing optimal optical pulses for the matter-wave splitting of
a Bose-Einstein Condensate (BEC) under the influence of experimental inhomogeneities, so …

Controlling complex networks of nonlinear limit-cycle oscillators is an important problem
pertinent to various applications in engineering and natural sciences. While in recent years …

Modulation of the firing times of neural oscillators has long been an important control
objective, with applications including Parkinson's disease, Tourette's syndrome, epilepsy …

Controlling complex networks of nonlinear neurons is an important problem pertinent to
various applications in engineering and natural sciences. While in recent years the control of …

Learning to control complex systems using non-traditional feedback, eg, in the form of
snapshot images, is an important task encountered in diverse domains such as robotics …

Optimal transport has gained widespread recognition in diverse areas from economics and
fluid mechanics, lately, to machine learning. However, its connection and potential …