Evoked Component Analysis (ECA): Decomposing the Functional Ultrasound
Signal with GLM-Regularization
- Aybüke Erol ,
- Bastian Generowicz ,
- Pieter Kruizinga ,
- Borbála Hunyadi
Abstract
We propose a novel technique for identifying evoked components by using
prior information of the stimulus time course as a guiding factor,
allowing for modeling of trial variability, in a regularized
optimization framework.
