302 citations · 601 across the 8 of their papers we have counts for
8 papers
Oscillation Quenching Induced By Time-Varying Coupling Functions
Dushko Stavrov, Aneta Koseska, Tomislav Stankovski
The oscillatory dynamics of natural and man-made systems can be disrupted by their time-varying interactions, leading to oscillation quenching phenomena in which the oscillations a…
Delta-alpha cross-frequency coupling for different brain regions
Dushko Lukarski, Spase Petkoski, Peng Ji +1
Neural interactions occur on different levels and scales. It is of particular importance to understand how they are distributed among different neuroanatomical and physiological re…
Coupling Functions in Neuroscience
Tomislav Stankovski
The interactions play one of the central roles in the brain mediating various processes and functions. They are particularly important for the brain as a complex system that has ma…
Coupling functions: Universal insights into dynamical interaction mechanisms
Tomislav Stankovski, Tiago Pereira, Peter V. E. McClintock +1
The dynamical systems found in Nature are rarely isolated. Instead they interact and influence each other. The coupling functions that connect them contain detailed information abo…
Time-varying coupling functions: dynamical inference and cause of synchronization transitions
Tomislav Stankovski
Interactions in nature can be described by their coupling strength, direction of coupling and coupling function. The coupling strength and directionality are relatively well unders…
A Tutorial on Time-Evolving Dynamical Bayesian Inference
Tomislav Stankovski, Andrea Duggento, Peter V. E. McClintock +1
In view of the current availability and variety of measured data, there is an increasing demand for powerful signal processing tools that can cope successfully with the associated…
Dynamical Bayesian Inference of Time-evolving Interactions: From a Pair of Coupled Oscillators to Networks of Oscillators
Andrea Duggento, Tomislav Stankovski, Peter V. E. McClintock +1
Living systems have time-evolving interactions that, until recently, could not be identified accurately from recorded time series in the presence of noise. Stankovski et al. (Phys.…
Inference of Time-Evolving Coupled Dynamical Systems in the Presence of Noise
Tomislav Stankovski, Andrea Duggento, Peter V. E. McClintock +1
A new method is introduced for analysis of interactions between time-dependent coupled oscillators, based on the signals they generate. It distinguishes unsynchronized dynamics fro…