"... The authors have ... computationally manageable networks of moderate size consisting of 1,000 to 3,000 neurons with multiple intrinsic and synaptic properties. Experiments on these simulations demonstrated the presence of epileptiform behavior in the form of repetitive high-intensity population events (clonic behavior) or latch-up with near maximal activity (tonic behavior). ... Several simulations revealed the importance of random coincident inputs to shift a network from a low-activation to a high-activation epileptiform state. Finally, a simulated anticonvulsant acting on excitability tended to preferentially decrease tonic activity."

Model Type: Realistic Network

Model Concept(s): Epilepsy

Simulation Environment: NEURON

Implementer(s): Lytton, William [bill.lytton at downstate.edu]

References:

Lytton WW, Omurtag A. (2007). Tonic-clonic transitions in computer simulation. Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society. 24 [PubMed]