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Sublinear integration underlies binocular processing in primary visual cortex
Author(s) -
Fabio Longordo,
MinhSon To,
Kaori Ikeda,
Greg J. Stuart
Publication year - 2013
Publication title -
nature neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 13.403
H-Index - 422
eISSN - 1546-1726
pISSN - 1097-6256
DOI - 10.1038/nn.3394
Subject(s) - sublinear function , visual cortex , neuroscience , excitatory postsynaptic potential , binocular vision , binocular neurons , binocular disparity , computer science , psychology , perception , mathematics , inhibitory postsynaptic potential , artificial intelligence , mathematical analysis
Although we know much about the capacity of neurons to integrate synaptic inputs in vitro, less is known about synaptic integration in vivo. Here we address this issue by investigating the integration of inputs from the two eyes in mouse primary visual cortex. We find that binocular inputs to layer 2/3 pyramidal neurons are integrated sublinearly in an amplitude-dependent manner. Sublinear integration was greatest when binocular responses were largest, as occurs at the preferred orientation and binocular disparity, and highest contrast. Using voltage-clamp experiments and modeling, we show that sublinear integration occurs postsynaptically. The extent of sublinear integration cannot be accounted for solely by nonlinear integration of excitatory inputs, even when they are activated closely in space and time, but requires balanced recruitment of inhibition. Finally, we show that sublinear binocular integration acts as a divisive form of gain control, linearizing the output of binocular neurons and enhancing orientation selectivity.

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