" ... In the context of epilepsy, the functional properties of the network at the source of a seizure are disrupted by a possibly large set of factors at the cellular and molecular levels. It is therefore needed to sacrifice some biological accuracy to model seizure dynamics in favor of macroscopic realizations. Here, we present a neuronal network model that convenes both neuronal and network representations with the goal to describe brain dynamics involved in the development of epilepsy. We compare our modeling results with animal in vivo recordings to validate our approach in the context of seizures. ..."
Model Type: Connectionist Network
Cell Type(s): Abstract Morris-Lecar neuron; Abstract Hindmarsh-Rose neuron
Model Concept(s): Activity Patterns; Bursting; Epilepsy; Multiscale
Simulation Environment: Python (web link to model)
Implementer(s): Naze, Sebastien [sebastien.naze at univ-amu.fr]
Naze S, Bernard C, Jirsa V. (2015). Computational modeling of seizure dynamics using coupled neuronal networks: factors shaping epileptiform activity. PLoS computational biology. 11 [PubMed]