Comparing Epileptiform Behavior of Mesoscale Detailed Models and Population Models of Neocortex

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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.
Original languageUndefined
Pages (from-to)471-478
Number of pages8
JournalJournal of clinical neurophysiology
Volume27
Issue number6
DOIs
Publication statusPublished - Dec 2010

Keywords

  • METIS-272549
  • IR-75067
  • Bifurcation analysis
  • Modeling
  • Delay differential equation
  • Neocortex
  • Epilepsy
  • Oscillation
  • EWI-18857
  • MSC-34K18
  • MSC-34K60

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