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• W2809659773 abstract "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.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.In our neuronal network, we verify the existence of spike and burst synchronisation in different cortical areas.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." @default.
• W2809659773 created "2018-06-29" @default.
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• W2809659773 date "2018-07-27" @default.
• W2809659773 modified "2023-10-16" @default.
• W2809659773 title "Synchronous behaviour in network model based on human cortico-cortical connections" @default.
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• W2809659773 doi "https://doi.org/10.1088/1361-6579/aace91" @default.
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