Abstract
In view of signal transmission among neurons being hindered because of nervous system diseases, we propose a modified neural mass model with time delay. The new time-delay model can simulate several different types of EEG activities including ictal EEG. Through the simulation and analysis of influence of the time delay on dynamic behavior of the model, we successfully demonstrate that the time delay of neuronal signal transmission could cause seizure-like activity. We give a preliminary description of the model’s behavior with bifurcation diagrams. Study on bifurcations of this neural mass model could provide further theoretical reference for understanding the neurodynamics of epileptic seizures.
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© 2013 Springer-Verlag Berlin Heidelberg
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Geng, S., Zhou, W., Yuan, Q., Ma, Z., Zhao, X. (2013). Dynamics Analysis of a Time-Delay Neural Mass Model. In: Long, M. (eds) World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China. IFMBE Proceedings, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29305-4_409
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DOI: https://doi.org/10.1007/978-3-642-29305-4_409
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29304-7
Online ISBN: 978-3-642-29305-4
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