The development of technologies for brain stimulation provides a means for scientists and
clinicians to directly actuate the brain and nervous system. Brain stimulation has shown …

Learning is a key function in the brain to be able to achieve the activity patterns required to
perform various activities. While specific behaviors are determined by activity in localized …

Miniaturized electrical stimulation (ES) implants show great promise in practice, but their real-
time control by means of biophysical mechanistic algorithms is not feasible due to …

Controlling a population of neurons with one or a few control signals is challenging due to
the severely underactuated nature of the control system and the inherent nonlinear …

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 …

The brain, composed of billions of interconnected neurons, forms a complex network that
exhibits an incredibly wide array of behaviors. Treating this structure as a dynamical system …

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

Population-level neurocontrol has been advanced predominately through the
miniaturization of hardware, such as MEMS-based electrodes. However, miniaturization …