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Various brain morphological abnormalities can by associated with focal epilepsy.
The goal of epilepsy surgery is to identify an abnormal area and remove it
without causing any significant functional impairment. Determinations of the
localization of neocortical epileptic foci are limited by the spatial and
temporal resolutions of existing methods. Here we developed a computational
model of epileptic foci in simulated neural networks with the goal of modeling
difficult to localize clinically relevant events associated with seizure origination
from areas with rapid regional spread
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