RT Journal Article SR Electronic T1 Representation of uncertainty in macaque visual cortex JF bioRxiv FD Cold Spring Harbor Laboratory SP 724021 DO 10.1101/724021 A1 Olivier J. Hénaff A1 Zoe M. Boundy-Singer A1 Kristof Meding A1 Corey M. Ziemba A1 Robbe L. T. Goris YR 2019 UL http://biorxiv.org/content/early/2019/08/03/724021.abstract AB Uncertainty is intrinsic to perception. Neural circuits which process sensory information must therefore also represent the reliability of this information. How they do so is a topic of debate. We propose a view of visual cortex in which average neural response strength encodes stimulus features, while cross-neuron variability in response gain encodes the uncertainty of these features. To test our theory, we studied spiking activity of neurons in macaque V1 and V2 elicited by repeated presentations of stimuli whose uncertainty was manipulated in distinct ways. We show that gain variability of individual neurons is tuned to stimulus uncertainty, that this tuning is invariant to the source of uncertainty, and that it is specific to the features encoded by these neurons. We demonstrate that this behavior naturally arises from known gain-control mechanisms, and derive how downstream circuits can jointly decode stimulus features and their uncertainty from sensory population activity.