Real-time decoding of brain responses to visuospatial attention using 7T fMRI.
Brain-Computer interface technologies mean to create new communication channels between our mind and our environment, independent of the motor system, by detecting and classifying self regulation of local brain activity. BCIs can provide patients with severe paralysis a means to communicate and to l...
Guardado en:
Autores principales: | Patrik Andersson, Josien P W Pluim, Jeroen C W Siero, Stefan Klein, Max A Viergever, Nick F Ramsey |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2011
|
Materias: | |
Acceso en línea: | https://doaj.org/article/710245ef4f9a4ad8bc88f0509b774d4e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
The DecNef collection, fMRI data from closed-loop decoded neurofeedback experiments
por: Aurelio Cortese, et al.
Publicado: (2021) -
Fast bootstrapping and permutation testing for assessing reproducibility and interpretability of multivariate fMRI decoding models.
por: Bryan R Conroy, et al.
Publicado: (2013) -
Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation
por: Filip Sobczak, et al.
Publicado: (2021) -
Fostering reproducible fMRI research
Publicado: (2017) -
fMRI guided rTMS evidence for reduced left prefrontal involvement after task practice.
por: Johan Martijn Jansma, et al.
Publicado: (2013)