Functional interactions as big data in the human brain

Nicholas B. Turk-Browne

Research output: Contribution to journalReview article

97 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)580-584
Number of pages5
JournalScience
Volume342
Issue number6158
DOIs
StatePublished - 2013

All Science Journal Classification (ASJC) codes

  • General

Fingerprint Dive into the research topics of 'Functional interactions as big data in the human brain'. Together they form a unique fingerprint.

  • Cite this