Inferring coupling strength from event-related dynamics

TL;DR

This paper introduces a method to infer coupling strength between systems based on their transient dynamics, crucial for analyzing evoked potentials in electrophysiology, validated on models including thalamocortical loops and coupled oscillators.

Contribution

It presents a novel approach for estimating coupling strength from transient signals, applicable to both linear and nonlinear synchronization measures.

Findings

Method successfully infers coupling strength in simulated models.

Applicable to both nonlinear and linear synchronization measures.

Validated on thalamocortical and oscillator models.

Abstract

We propose an approach for inferring strength of coupling between two systems from their transient dynamics. This is of vital importance in cases where most information is carried by the transients, for instance in evoked potentials measured commonly in electrophysiology. We show viability of our approach using nonlinear and linear measures of synchronization on a population model of thalamocortical loop and on a system of two coupled Roessler-type oscillators in non-chaotic regime.