Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

The chapters of the book are state-of-the-art review articles and should be of interest to
graduate students and researchers; theoretical and experimental physicists, applied …

In this paper, we discuss recent progress in research of ensembles of mean field coupled
oscillators. Without an ambition to present a comprehensive review, we outline most …

Background Millions of patients around the world are affected by neurological and
psychiatric disorders. Deep brain stimulation (DBS) is a device-based therapy that could …

Ever since the pioneering work of Hodgkin and Huxley, biological neuron models have
consisted of ODEs representing the evolution of the transmembrane voltage and the …

Time-delayed feedback control is well known as a practical method for stabilizing unstable
periodic orbits embedded in chaotic attractors. The method is based on applying feedback …

Oscillatory behaviour is essential for proper functioning of various physical and biological
processes. However, diffusive coupling is capable of suppressing intrinsic oscillations due to …

We refute an often invoked theorem which claims that a periodic orbit with an odd number of
real Floquet multipliers greater than unity can never be stabilized by time-delayed feedback …

In this paper, we present a novel Bayesian adaptive dual controller (ADC) for autonomously
programming deep brain stimulation devices. We evaluated the Bayesian ADC's …

We propose a novel, closed-loop approach to tuning deep brain stimulation (DBS) for
Parkinson's disease (PD). The approach, termed Phasic Burst Stimulation (PhaBS), applies …