A multivariate sparse deconvolution algorithm for multi echo fMRI.
This thesis presents a novel algorithm for the deconvolution of multi echo fMRI data with no prior information on the timings of the neuronal events. Based on previous work on the field, a new signal model is proposed in order to take the processing from a voxelwise analysis to an entire brain one...
| Автори: | , |
|---|---|
| Формат: | info:eu-repo/semantics/masterThesis |
| Мова: | eng |
| Опубліковано: |
Servicio de Publicaciones. Universidad de Navarra
2019
|
| Предмети: | |
| Онлайн доступ: | https://hdl.handle.net/10171/58374 |