Simulation of cortical epileptic discharge using Freeman's KIII model
P Vijaykumar, R Sunitha, N Pradhan… - Computational vision and …, 2018 - Springer
P Vijaykumar, R Sunitha, N Pradhan, A Sreedevi
Computational vision and bio inspired computing, 2018•SpringerAdvancements 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 …
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 …
Abstract
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.
Springer
以上显示的是最相近的搜索结果。 查看全部搜索结果