Cargando…
Analysis of the Behavior of a Seizure Neural Mass Model Using Describing Functions
Neural mass models are computational nonlinear models that simulate the activity of a population of neurons as an average neuron, in such a way that different inhibitory post-synaptic potential and excitatory post-synaptic potential signals could be reproduced. These models have been developed eithe...
Autores principales: | Shayegh, Farzaneh, Bellanger, Jean-Jacques, Sadri, Saied, Amirfattahi, Rasoul, Ansari-Asl, Karim, Senhadji, Lotfi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3785066/ https://www.ncbi.nlm.nih.gov/pubmed/24083132 |
Ejemplares similares
-
A Brief Survey of Computational Models of Normal and Epileptic EEG Signals: A Guideline to Model-based Seizure Prediction
por: Shayegh, Farzaneh, et al.
Publicado: (2011) -
Vesselness-guided Active Contour: A Coronary Vessel Extraction Method
por: Dehkordi, Maryam Taghizadeh, et al.
Publicado: (2014) -
Nonrigid Image Registration in Digital Subtraction Angiography Using Multilevel B-Spline
por: Nejati, Mansour, et al.
Publicado: (2013) -
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
por: Yousefian, Ali, et al.
Publicado: (2023) -
Spatial analysis of intracerebral electroencephalographic signals in the time and frequency domain: identification of epileptogenic networks in partial epilepsy
por: Wendling, Fabrice, et al.
Publicado: (2008)