Integration of cortical population signals for visual perception

Ariana R. Andrei, Sorin Pojoga, Roger Janz and Valentin Dragoi ()
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Ariana R. Andrei: University of Texas–Houston
Sorin Pojoga: University of Texas–Houston
Roger Janz: University of Texas–Houston
Valentin Dragoi: University of Texas–Houston

Nature Communications, 2019, vol. 10, issue 1, 1-13

Abstract: Abstract Visual stimuli evoke heterogeneous responses across nearby neural populations. These signals must be locally integrated to contribute to perception, but the principles underlying this process are unknown. Here, we exploit the systematic organization of orientation preference in macaque primary visual cortex (V1) and perform causal manipulations to examine the limits of signal integration. Optogenetic stimulation and visual stimuli are used to simultaneously drive two neural populations with overlapping receptive fields. We report that optogenetic stimulation raises firing rates uniformly across conditions, but improves the detection of visual stimuli only when activating cells that are preferentially-tuned to the visual stimulus. Further, we show that changes in correlated variability are exclusively present when the optogenetically and visually-activated populations are functionally-proximal, suggesting that correlation changes represent a hallmark of signal integration. Our results demonstrate that information from functionally-proximal neurons is pooled for perception, but functionally-distal signals remain independent.

Date: 2019
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DOI: 10.1038/s41467-019-11736-2

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