Publication Type:

Journal Article

Source:

Lecture Notes in Computational Vision and Biomechanics, Springer Netherlands, Volume 28, p.280-290 (2018)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042433419&doi=10.1007%2f978-3-319-71767-8_24&partnerID=40&md5=a514cc8bf038a45e5d61849a07d018f3

Abstract:

<p>Advancements in Neuroscience have put forth many networks that are able to mimic cortical activity. One such biologically motivated network is the Freeman KIII Model. The Freeman KIII model is based on the mammalian olfactory system dynamics. It consists of a collection of second-order non-linear differential equations. This paper attempts to solve the equations using MATLAB in order to simulate cortical electroencephalographic (EEG) signals. We also attempt to simulate cortical epileptic discharge using this model. The degenerate state of epileptic seizure is analyzed by obtaining its frequency using the power spectrum and by plotting the phase plots. © 2018, Springer International Publishing AG.</p>

Notes:

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Cite this Research Publication

P. Vijaykumar, Sunitha, R., Pradhan, N., and Sreedevi, A., “Simulation of cortical epileptic discharge using Freeman’s KIII model”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 280-290, 2018.

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