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...
| Huvudupphovsmän: | , |
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| Materialtyp: | info:eu-repo/semantics/masterThesis |
| Språk: | eng |
| Publicerad: |
Servicio de Publicaciones. Universidad de Navarra
2019
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| Ämnen: | |
| Länkar: | https://hdl.handle.net/10171/58374 |