Cargando…
Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0
Recordings of extracellular electrical, and later also magnetic, brain signals have been the dominant technique for measuring brain activity for decades. The interpretation of such signals is however nontrivial, as the measured signals result from both local and distant neuronal activity. In volume-...
Autores principales: | Hagen, Espen, Næss, Solveig, Ness, Torbjørn V., Einevoll, Gaute T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305460/ https://www.ncbi.nlm.nih.gov/pubmed/30618697 http://dx.doi.org/10.3389/fninf.2018.00092 |
Ejemplares similares
-
LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons
por: Lindén, Henrik, et al.
Publicado: (2014) -
Impedance Spectrum in Cortical Tissue: Implications for Propagation of LFP Signals on the Microscopic Level
por: Miceli, Stéphanie, et al.
Publicado: (2017) -
Corrected Four-Sphere Head Model for EEG Signals
por: Næss, Solveig, et al.
Publicado: (2017) -
Modeling the LFP footprint of unitary thalamic inputs to sensory cortex
por: Hagen, Espen, et al.
Publicado: (2011) -
ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals
por: Aguera, Pierre-Emmanuel, et al.
Publicado: (2011)