The effect of time delay for synchronisation suppression in neuronal networks

TL;DR

This paper investigates how synaptic time delays influence spike synchronization in Hodgkin Huxley neuronal networks, revealing conditions that suppress synchrony and how external inputs affect network dynamics.

Contribution

It provides a detailed analysis of the role of synaptic delay in neuronal synchronization and identifies key parameters that control oscillatory behavior in delayed networks.

Findings

Time delay can effectively suppress spike synchronization.

Neuronal dynamics are linked to synaptic conductance distributions.

External inputs influence synchronization depending on delay parameters.

Abstract

We study the time delay in the synaptic conductance for suppression of spike synchronisation in a random network of Hodgkin Huxley neurons coupled by means of chemical synapses. In the first part, we examine in detail how the time delay acts over the network during the synchronised and desynchronised neuronal activities. We observe a relation between the neuronal dynamics and the syaptic conductance distributions. We find parameter values in which the time delay has high effectiveness in promoting the suppression of spike synchronisation. In the second part, we analyse how the delayed neuronal networks react when pulsed inputs with different profiles (periodic, random, and mixed) are applied on the neurons. We show the main parameters responsible for inducing or not synchronous neuronal oscillations in delayed networks.