Topic: mesoscopic model

In order to analyse complex networks in the cerebral cortex, different approaches are used in computational neuroscience: microscopic network models that consider every single neuron in simulations aiming for a realistic biological description as well as heuristic firing rate or neural-mass models which deliver a simple macroscopic description. Recently, a stochastic mean-field model that describes the coarse-grained dynamics of generalized integrate-and-fire networks at the intermediate mesoscopic scale has been proposed [1,2]. The mesoscopic model accurately accounts for both single neuron d