title: Functional interactions as big data in the human brain.
abstract: Noninvasive studies of human brain function hold great potential to unlock mysteries of the human mind. The complexity of data generated by such studies, however, has prompted various simplifying assumptions during analysis. Although this has enabled considerable progress, our current understanding is partly contingent upon these assumptions. An emerging approach embraces the complexity, accounting for the fact that neural representations are widely distributed, neural processes involve interactions between regions, interactions vary by cognitive state, and the space of interactions is massive. Because what you see depends on how you look, such unbiased approaches provide the greatest flexibility for discovery.
authors.affiliation: Department of Psychology and Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08540, USA.
authors.forename: Nicholas B
authors.initials: NB
authors.lastname: Turk-Browne
mesh_terms: D001921:Brain / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D015999:Multivariate Analysis