Sensory uncertainty decoded from visual cortex predicts behavior

Ruben S. Van Bergen, Wei Ji Ma, Michael S. Pratte, Janneke F M Jehee

Research output: Contribution to journalArticle

Abstract

Bayesian theories of neural coding propose that sensory uncertainty is represented by a probability distribution encoded in neural population activity, but direct neural evidence supporting this hypothesis is currently lacking. Using fMRI in combination with a generative model-based analysis, we found that probability distributions reflecting sensory uncertainty could reliably be estimated from human visual cortex and, moreover, that observers appeared to use knowledge of this uncertainty in their perceptual decisions.

Original languageEnglish (US)
Pages (from-to)1728-1730
Number of pages3
JournalNature Neuroscience
Volume18
Issue number12
DOIs
StatePublished - Nov 25 2015

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Visual Cortex
Uncertainty
Magnetic Resonance Imaging
Population

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Sensory uncertainty decoded from visual cortex predicts behavior. / Van Bergen, Ruben S.; Ji Ma, Wei; Pratte, Michael S.; Jehee, Janneke F M.

In: Nature Neuroscience, Vol. 18, No. 12, 25.11.2015, p. 1728-1730.

Research output: Contribution to journalArticle

Van Bergen, RS, Ji Ma, W, Pratte, MS & Jehee, JFM 2015, 'Sensory uncertainty decoded from visual cortex predicts behavior', Nature Neuroscience, vol. 18, no. 12, pp. 1728-1730. https://doi.org/10.1038/nn.4150
Van Bergen, Ruben S. ; Ji Ma, Wei ; Pratte, Michael S. ; Jehee, Janneke F M. / Sensory uncertainty decoded from visual cortex predicts behavior. In: Nature Neuroscience. 2015 ; Vol. 18, No. 12. pp. 1728-1730.
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