Simulates the EPILEPTOR (Jirsa et. al, 2014) model, which replicates alternating states between normal and seizure-like activity. The model is simulated by periodic stimuli (at x1 and y1 variables) and features are extracted from each post-stimulus epoch. Parameters can be set so that the model shifts gradually from normal to ictal activity (changing x0), or can be set for it to alternate between normal and SLEs.

paper submitted to the II Latin American Workshop on Computational Neuroscience (https://www.lawcn.com.br/) and published as a chapter in LAWCN 2019, CCIS 1068 proceedings (https://link.springer.com/chapter/10.1007/978-3-030-36636-0_20).

Carvalho V.R., Moraes M.F.D., Mendes E.M.A.M. (2019) On the Validity of Using Probing Stimuli for Seizure Prediction in the Epileptor Model. In: Cota V., Barone D., Dias D., Damázio L. (eds) Computational Neuroscience. LAWCN 2019. Communications in Computer and Information Science, vol 1068. Springer, Cham

Original EPILEPTOR paper:
Jirsa VK, Stacey WC, Quilichini PP, et al (2014) On the nature of seizure dynamics. Brain 137:2210–2230. doi: 10.1093/brain/awu133

Vinícius Rezende Carvalho
Programa de Pós Graduação em Engenharia Elétrica - Universidade Federal de Minas Gerais, Belo Horizonte, Brasil
Núcleo de Neurociências
[email protected]