TY - JOUR
T1 - Functional interactions as big data in the human brain
AU - Turk-Browne, Nicholas B.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.1126/science.1238409
DO - 10.1126/science.1238409
M3 - Review article
C2 - 24179218
AN - SCOPUS:84887300476
SN - 0036-8075
VL - 342
SP - 580
EP - 584
JO - Science
JF - Science
IS - 6158
ER -