Cargando…
Estimating neural response functions from fMRI
This paper proposes a methodology for estimating Neural Response Functions (NRFs) from fMRI data. These NRFs describe non-linear relationships between experimental stimuli and neuronal population responses. The method is based on a two-stage model comprising an NRF and a Hemodynamic Response Functio...
Autores principales: | Kumar, Sukhbinder, Penny, William |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021120/ https://www.ncbi.nlm.nih.gov/pubmed/24847246 http://dx.doi.org/10.3389/fninf.2014.00048 |
Ejemplares similares
-
Neural Responses of Acupuncture for Treating Functional Dyspepsia: An fMRI Study
por: Dong, Xiaohui, et al.
Publicado: (2022) -
MEG and fMRI Fusion for Non-Linear Estimation of Neural and BOLD Signal Changes
por: Plis, Sergey M., et al.
Publicado: (2010) -
The Neural Bases of Disgust for Cheese: An fMRI Study
por: Royet, Jean-Pierre, et al.
Publicado: (2016) -
Improving the accuracy of single-trial fMRI response estimates using GLMsingle
por: Prince, Jacob S, et al.
Publicado: (2022) -
DC Shifts-fMRI: A Supplement to Event-Related fMRI
por: Li, Qiang, et al.
Publicado: (2019)