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Updated: Jun 6, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
Comparing epileptiform behavior of mesoscale detailed models and population models of neocortex
Sid Visser1, Hil G E Meijer, Hyong C Lee
1Department of Applied Mathematics, University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands. s.visser-1@math.utwente.nl
Abstract:
Two models of the neocortex are developed to study normal and pathologic neuronal activity. One model contains a detailed description of a neocortical microcolumn represented by 656 neurons, including superficial and deep pyramidal cells, four types of inhibitory neurons, and realistic synaptic contacts. Simulations show that neurons of a given type exhibit similar, synchronized behavior in this detailed model. This observation is captured by a population model that describes the activity of large neuronal populations with two differential equations with two delays. Both models appear to have similar sensitivity to variations of total network excitation. Analysis of the population model reveals the presence of multistability, which was also observed in various simulations of the detailed model.
