We tend to trust our eyes, believing them to be reliable transmitters of information about our visual environment. In truth, however, the signals they produce from moment to moment are noisy and incomplete. How do we 'decide' what we see based on such limited and uncertain information? What brain mechanisms underlie this ability? What neural computations allow us to improve the reliability of sensory information and make better visual decisions? Our lab uses a combination of neuroimaging (fMRI), computational modeling and visual psychophysics to address these and other questions regarding the neural basis of human vision and visual decision-making.
Visual Computation
Research group
Research group information
Click on one of the links below for more information about this research group or contact one of the members of this group.
Principle Investigator
Dr. Janneke Jehee
Postdocs
Dr. Ilona Bloem
Dr. James Cooke
PhD Candidates
Yuxuan Dai
Rodrigo Raimundo-Ramos
Alexandre Lietard
Aran van Hout
- 2023 - MSCA Doctoral Networks Grant, Horizon Europe (grant number 101119647, Role: PI, coordinator, €2,745,785)
- 2016 - ERC Starting Grant, European Research Council (grant number 677601, Role: PI, €1,500,000)
- 2018 - Vanderbilt University Early Career Award More information
- 2017 - Vision Sciences Society (VSS) Young Investigator Award More information
- Van Bergen, R.S., Ma, W.J., Pratte, M.S., & Jehee, J.F.M. (2015). Sensory uncertainty decoded from visual cortex predicts behavior. Nature Neuroscience, 18, 1728-30. [link]
- Geurts, L.S., Cooke, J.R.H., van Bergen, R.S., & Jehee, J.F.M. (2022). Subjective confidence reflects representation of Bayesian probability in cortex. Nature Human Behaviour, 6, 294-305. [link]
- Chetverikov, A. & Jehee, J.F.M. (2023). Motion direction is represented as a bimodal probability distribution in the human visual cortex. Nature Communications, 14, 7634. [link]