Synchronous behaviour in network model based on human cortico-cortical connections

• Published in: Physiological measurement Vol. 39; no. 7; p. 074006
• Main Authors: Protachevicz, P R, Borges, R R, Reis, A S, Borges, F S, Iarosz, K C, Caldas, I L, Lameu, E L, Macau, E E N, Viana, R L, Sokolov, I M, Ferrari, F A S, Kurths, J, Batista, A M, Lo, C-Y, He, Y, Lin, C-P
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 27.07.2018
• Subjects: cortico-cortical connection network; neuronal networks; synchronization
• ISSN: 0967-3334; 1361-6579; 1361-6579
• DOI: 10.1088/1361-6579/aace91

Objective: We consider a network topology according to the cortico-cortical connection network of the human brain, where each cortical area is composed of a random network of adaptive exponential integrate-and-fire neurons. Approach: Depending on the parameters, this neuron model can exhibit spike or burst patterns. As a diagnostic tool to identify spike and burst patterns we utilise the coefficient of variation of the neuronal inter-spike interval. Main results: In our neuronal network, we verify the existence of spike and burst synchronisation in different cortical areas. Significance: Our simulations show that the network arrangement, i.e. its rich-club organisation, plays an important role in the transition of the areas from desynchronous to synchronous behaviours.