• Corpus ID: 245650468

Learning shared neural manifolds from multi-subject FMRI data

  title={Learning shared neural manifolds from multi-subject FMRI data},
  author={Je-chun Huang and Erica L. Busch and Tom Wallenstein and Michal Gerasimiuk and Andrew Benz and Guillaume Lajoie and Guy Wolf and Nicholas B. Turk-Browne and Smita Krishnaswamy},
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 averaging required by the measurement resolution. In addition, the data is extremely high dimensional, with the space of the activity typically having much lower intrinsic dimension. In order to understand the connection between stimuli of interest and brain… 

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