Impact of Connection Topology in Neuronal Communication

Synchronization of an ensemble of neurons is an emergent phenomenon explaining the complexities of cognitive dynamics. This work intends to understand the mechanism underlying the synchronous behaviour of the interacting neurons. For this purpose, an all-to-all connected network with a combination of inhibitory and excitatory neurons are considered wherein, the strength of the coupling between the neurons is assumed to be randomly distributed. Synchronization parameter is measured by varying the proportion of inhibitory neurons. The intensity of synchrony varies with the proportion of inhibitory neurons. Moreover, the emergence of synchronization transition in the vicinity of equalisation of inhibitory and excitatory neurons is a novel outcome of the cognitive dynamics of coupled neurons. The robustness of this response is tested by varying mean coupling strength and its standard deviation. The findings can be helpful to understand the complex firing behaviour of the biological neurons and provide scope of medical research for physiological and neurological disorders.