Reconstructing visual experiences from brain activity evoked by natural movies.
Reconstructing visual experiences from brain activity evoked by natural movies.
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DOI:
10.1016/j.cub.2011.08.031
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发表时间:
2011-10-11
期刊:
影响因子:
9.2
通讯作者:
Gallant, Jack L.
中科院分区:
文献类型:
--
作者:
Nishimoto, Shinji;Vu, An T.;Naselaris, Thomas;Benjamini, Yuval;Yu, Bin;Gallant, Jack L.
Quantitative modeling of human brain activity can provide crucial insights about cortical representations, and can form the basis for brain decoding devices. Recent functional magnetic resonance imaging (fMRI) studies have modeled brain activity elicited by static visual patterns, and have shown that it is possible to reconstruct these images from brain activity measurements. However, blood oxygen level dependent (BOLD) signals measured using fMRI are very slow, so it has been difficult to model brain activity elicited by dynamic stimuli such as natural movies. Here we present a new motion-energy encoding model that largely overcome this limitation. Our motion-energy model describes fast visual information and slow hemodynamics by separate components. We recorded BOLD signals in occipito-temporal visual cortex of human subjects who passively watched natural movies, and fit the encoding model separately to individual voxels. Visualization of the fit models reveals how early visual areas represent moving stimuli. To demonstrate the power of our approach we also constructed a Bayesian decoder, by combining estimated encoding models with a sampled natural movie prior. The decoder provides remarkable reconstructions of natural movies, capturing the spatio-temporal structure of the viewed movie. These results demonstrate that dynamic brain activity measured under naturalistic conditions can be decoded using current fMRI technology.
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