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 journalArticlepeer-review


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
Issue number12
StatePublished - Nov 25 2015

ASJC Scopus subject areas

  • General Neuroscience


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