Article

A dynamic gradient architecture generates brain activity states

2020-08-13

Abstract excerpt

A central goal of systems neuroscience is to determine the functional-anatomical basis of brain-wide activity dynamics. While brain activity patterns appear to be low-dimensional and guided by spatial gradients, the set of gradients remains provisional and their mode of interaction is unclear. Here we applied deep learning-based dimensionality reduction to task-free fMRI images to derive an intrinsic latent space...

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Literature Corpus work: a9744dec-f5d3-5364-9e02-a47f261e55fa
DOI: 10.1101/2020.08.12.248112

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