Tom Wallenstein
YOU?
Author Swipe
View article: Multi-view manifold learning of human brain state trajectories
Multi-view manifold learning of human brain state trajectories Open
The complexity and intelligence of the brain give the illusion that measurements of brain activity will have intractably high dimensionality, rifewith collection and biological noise. Nonlinear dimensionality reduction methods like UMAP an…
View article: Learning shared neural manifolds from multi-subject FMRI data
Learning shared neural manifolds from multi-subject FMRI data Open
Functional magnetic resonance imaging (fMRI) is a notoriously noisy measurement of brain activity because of the large variations between individuals, signals marred by environmental differences during collection, and spatiotemporal averag…