Cargando…
Mathematical Relations Between Measures of Brain Connectivity Estimated From Electrophysiological Recordings for Gaussian Distributed Data
A large variety of methods exist to estimate brain coupling in the frequency domain from electrophysiological data measured, e.g., by EEG and MEG. Those data are to reasonable approximation, though certainly not perfectly, Gaussian distributed. This work is based on the well-known fact that for Gaus...
Autores principales: | Nolte, Guido, Galindo-Leon, Edgar, Li, Zhenghan, Liu, Xun, Engel, Andreas K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683718/ https://www.ncbi.nlm.nih.gov/pubmed/33240037 http://dx.doi.org/10.3389/fnins.2020.577574 |
Ejemplares similares
-
Functional connectivity estimation over large networks at cellular resolution based on electrophysiological recordings and structural prior
por: Ullo, Simona, et al.
Publicado: (2014) -
Dynamic reconfiguration of cortical functional connectivity across brain states
por: Stitt, Iain, et al.
Publicado: (2017) -
Electrophysiological Recording in the Drosophila Embryo
por: Chen, Kaiyun, et al.
Publicado: (2009) -
Automatic Fitting of Spiking Neuron Models to Electrophysiological Recordings
por: Rossant, Cyrille, et al.
Publicado: (2010) -
Localizing and Estimating Causal Relations of Interacting Brain Rhythms
por: Nolte, Guido, et al.
Publicado: (2010)