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Found 3 papers, 1 papers with code
A lite parametric model for the Hemodynamic Response Function
When working with task-related fMRI data, one of the most crucial parts of the data analysis consists of determining a proper estimate of the BOLD response.
Unsupervised learning of the brain connectivity dynamic using residual D-net
In this paper, we propose a novel unsupervised learning method to learn the brain dynamics using a deep learning architecture named residual D-net.
Information Assisted Dictionary Learning for fMRI data analysis
The new method allows the incorporation of a priori knowledge associated both with the experimental design as well as with available brain Atlases.
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