AUTHOR=Rosenblum Michael TITLE=Feedback control of collective dynamics in an oscillator population with time-dependent connectivity JOURNAL=Frontiers in Network Physiology VOLUME=4 YEAR=2024 URL=https://www.frontiersin.org/journals/network-physiology/articles/10.3389/fnetp.2024.1358146 DOI=10.3389/fnetp.2024.1358146 ISSN=2674-0109 ABSTRACT=

We present a numerical study of pulsatile feedback-based control of synchrony level in a highly-interconnected oscillatory network. We focus on a nontrivial case when the system is close to the synchronization transition point and exhibits collective rhythm with strong amplitude modulation. We pay special attention to technical but essential steps like causal real-time extraction of the signal of interest from a noisy measurement and estimation of instantaneous phase and amplitude. The feedback loop’s parameters are tuned automatically to suppress synchrony. Though the study is motivated by neuroscience, the results are relevant to controlling oscillatory activity in ensembles of various natures and, thus, to the rapidly developing field of network physiology.