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Updated: Feb 8, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
Synchronous behaviour in network model based on human cortico-cortical connections
P R Protachevicz1, R R Borges2, A S Reis3
1Graduation in Science Program-Physics, State University of Ponta Grossa, Ponta Grossa, PR, Brazil.
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.
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