We employ optimal control theory to design an event-based, minimum energy,
desynchronizing control stimulus for a network of pathologically synchronized …

We consider the problem of desynchronizing a network of synchronized, globally (all-to-all)
coupled neurons using an input to a single neuron. This is done by applying the discrete …

Objective. To demonstrate the applicability of optimal control theory for designing minimum
energy charge-balanced input waveforms for single periodically-firing in vitro neurons from …

By injecting an electrical current control stimulus into a neuron, one can change its inter-
spike intervals. In this paper, we investigate the time optimal control problem for periodically …

The collective behavior of biological oscillators has been recognized as an important
problem for several decades, but its control has come into limelight only recently. Much of …

In this article, we devise two related control algorithms to change the degree of synchrony of
a population of noise-free, identical, uncoupled neural oscillators using a single control …

Desynchronization is a powerful tool to achieve round-robin scheduling, which is crucial in
applications as diverse as media access control of communication networks, realization of …

The property of desynchronization in an all-to-all network of homogeneous impulse-coupled
oscillators is studied. Each impulse-coupled oscillator is modeled as a hybrid system with a …

The property of desynchronization in impulse-coupled oscillators is studied. Each impulsive
oscillator is modeled as a hybrid system with a single timer state that self-resets to zero …

With inspiration from Arthur Winfree's idea of randomizing the phase of an oscillator by
driving its state to a set in which the phase is not defined, ie, the phaseless set, we employ a …