Visual Computation & Neuroimaging

Welcome to the Visual Computation lab at the Center for Cognitive Neuroimaging of the Donders Institute for Brain, Cognition and Behavior and Radboud University Nijmegen, Nijmegen, Netherlands, led by Dr. Janneke Jehee.

We tend to trust our eyes, believing them to be reliable purveyors 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. 

Announcements

May 2017

Funding is available for a postdoc position in the lab. Please feel free to contact Janneke for further information.

March 2017

Janneke is the 2017 winner of the VSS Young Investigator Award.

Feb 2017

Congrats to Ruben for winning a VSS 2017 Student Travel Award!

Jan 2017

Andrey Chetverikov is awarded a Radboud Excellence Initiative Fellowship and will join us in July!

July 2016

Koen is awarded an NWO Veni grant — congrats Koen!

May 2016

Janneke is awarded an ERC Starting Grant to study neural decisions under uncertainty.

Feb 2016

Laura has joined the lab as an MSc student — great to have you on board, Laura!

Feb 2016

Denise, Sam, and Janneke's paper on perceptual learning is published in Journal of Vision.

Jan 2016

Ruben has received the 2015 Radboud UMC Talent Award for his work on cortical uncertainty.

Oct 2015

Ruben, Wei Ji, Mike, and Janneke's paper on cortical uncertainty is published in Nature Neuroscience.

Sep 2015

Welcome to Juraj, who joins the lab as a visiting graduate student from the University of Minnesota!

Aug 2015

Janneke is awarded an NWO-ALW Open Competition grant to study the neural basis of decision-making under uncertainty.