Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire

TL;DR

This paper investigates how synchronization patterns emerge and persist in a random network of adaptive exponential integrate-and-fire neurons, highlighting the conditions that promote robust bursting synchronization.

Contribution

It introduces a detailed analysis of synchronization phenomena in adaptive exponential integrate-and-fire neuron networks, including robustness to external perturbations.

Findings

Bursting synchronization is more robust than spike synchronization.

Synchronization depends on coupling strength and connection probability.

External perturbations affect synchronization stability.

Abstract

We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections, by constructing parameter spaces that identify these synchronous behaviours from measurements of the inter-spike interval and the calculation of the order parameter. Moreover, we verify the robustness of synchronisaton by applying an external perturbation to each neuron. The simulations show that bursting synchronisation is more robust than spike synchronisation.