Cargando…
Estimation of effective connectivity via data-driven neural modeling
This research introduces a new method for functional brain imaging via a process of model inversion. By estimating parameters of a computational model, we are able to track effective connectivity and mean membrane potential dynamics that cannot be directly measured using electrophysiological measure...
Autores principales: | Freestone, Dean R., Karoly, Philippa J., Nešić, Dragan, Aram, Parham, Cook, Mark J., Grayden, David B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4246673/ https://www.ncbi.nlm.nih.gov/pubmed/25506315 http://dx.doi.org/10.3389/fnins.2014.00383 |
Ejemplares similares
-
Bifurcation analysis of two coupled Jansen-Rit neural mass models
por: Ahmadizadeh, Saeed, et al.
Publicado: (2018) -
Seizure pathways: A model-based investigation
por: Karoly, Philippa J., et al.
Publicado: (2018) -
A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery
por: Nurse, Ewan S., et al.
Publicado: (2015) -
Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System
por: Kiral-Kornek, Isabell, et al.
Publicado: (2017) -
Methods for the Detection of Seizure Bursts in Epilepsy
por: Seneviratne, Udaya, et al.
Publicado: (2019)