TY - JOUR
T1 - Population dynamics of early visual cortex during working memory
AU - Rahmati, Masih
AU - Saber, Golbarg T.
AU - Curtis, Clayton E.
N1 - Funding Information:
This study was supported by R01-EY016407 to C. E. C. We thank the NYU Center for Brain Imaging’s Pablo Velasco, Keith Sanzenbach, and Valerio Luccio for help with data collection; John Serences and Thomas Sprague for help with the inverted encoding model; and Kartik Sreenivasan for helpful comments on the manuscript.
Publisher Copyright:
© 2017 Massachusetts Institute of Technology.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Although the content of working memory (WM) can be decoded from the spatial patterns of brain activity in early visual cortex, how populations encode WM representations remains unclear. Here, we address this limitation by using a model-based approach that reconstructs the feature encoded by population activity measured with fMRI. Using this approach, we could successfully reconstruct the locations of memory-guided saccade goals based on the pattern of activity in visual cortex during a memory delay. We could reconstruct the saccade goal even when we dissociated the visual stimulus from the saccade goal using a memory-guided antisaccade procedure. By comparing the spatiotemporal population dynamics, we find that the representations in visual cortex are stable but can also evolve from a representation of a remembered visual stimulus to a prospective goal. Moreover, because the representation of the antisaccade goal cannot be the result of bottom-up visual stimulation, it must be evoked by top-down signals presumably originating from frontal and/or parietal cortex. Indeed, we find that trial-by-trial fluctuations in delay period activity in frontal and parietal cortex correlate with the precision with which our model reconstructed the maintained saccade goal based on the pattern of activity in visual cortex. Therefore, the population dynamics in visual cortex encode WM representations, and these representations can be sculpted by top-down signals from frontal and parietal cortex.
AB - Although the content of working memory (WM) can be decoded from the spatial patterns of brain activity in early visual cortex, how populations encode WM representations remains unclear. Here, we address this limitation by using a model-based approach that reconstructs the feature encoded by population activity measured with fMRI. Using this approach, we could successfully reconstruct the locations of memory-guided saccade goals based on the pattern of activity in visual cortex during a memory delay. We could reconstruct the saccade goal even when we dissociated the visual stimulus from the saccade goal using a memory-guided antisaccade procedure. By comparing the spatiotemporal population dynamics, we find that the representations in visual cortex are stable but can also evolve from a representation of a remembered visual stimulus to a prospective goal. Moreover, because the representation of the antisaccade goal cannot be the result of bottom-up visual stimulation, it must be evoked by top-down signals presumably originating from frontal and/or parietal cortex. Indeed, we find that trial-by-trial fluctuations in delay period activity in frontal and parietal cortex correlate with the precision with which our model reconstructed the maintained saccade goal based on the pattern of activity in visual cortex. Therefore, the population dynamics in visual cortex encode WM representations, and these representations can be sculpted by top-down signals from frontal and parietal cortex.
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U2 - 10.1162/jocn_a_01196
DO - 10.1162/jocn_a_01196
M3 - Article
C2 - 28984524
AN - SCOPUS:85039905626
SN - 0898-929X
VL - 30
SP - 219
EP - 233
JO - Journal of Cognitive Neuroscience
JF - Journal of Cognitive Neuroscience
IS - 2
ER -