Computational modeling of seizure dynamics using coupled neuronal networks: factors shaping epileptiform activity.

ABSTRACT: Epileptic seizure dynamics span multiple scales in space and time. Understanding seizure mechanisms requires identifying the relations between seizure components within and across these scales, together with the analysis of their dynamical repertoire. Mathematical models have been developed to reproduce seizure dynamics across scales ranging from the single neuron to the neural population. In this study, we develop a network model of spiking neurons and systematically investigate the conditions, under which the network displays the emergent dynamic behaviors known from the Epileptor, which is a well-investigated abstract model of epileptic neural activity. This approach allows us to study the biophysical parameters and variables leading to epileptiform discharges at cellular and network le

SUBMITTER: Naze S 

PROVIDER: S-EPMC4430284 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature