Principal Investigator
Uta Noppeney
|
Uta is heading the Multisensory Perception, Learning
and Attention lab. For further information see: https://www.ru.nl/english/people/noppeney-u/ |
POST DOCs
PHDs
Rao
Xie about me
I am interested in metacognition, particularly its role in perceptual decision-making and the mechanisms of meta-learning, using computational modeling and neuroimaging. |
Claire
Pleche about me
I'm interested in adaptive behavior and decision-making under uncertainty. In my PhD, I study how humans form predictions across senses using psychophysics, M/EEG and Bayesian modeling. |
Danting
Meng about me
I am currently working on statistical learning and prediction error, in multisensory context. |
Tommaso
Rinaldini |
Kun
Dong about me
I study top-down control in multisensory perception in many aspects, including attention control, TMS manipulation, and patient studies, where I look for causalities, brain mechanisms, and temporal dynamics. |
Wenshu
Lou about me
I mainly study cross-modal recalibration and meta-cognition from the computational modeling perspective, specifically how causal inference would influence auditory spatial recalibration and how it is quantified under a Bayesian framework. |
Xin
Weng |
Qiong
Wu |
Jochem
Beurskens about me
I study how humans effectively address the cross-modal binding problem. We come across this problem in many everyday situations, such as when we try to understand a friend in a noisy pub. I am particularly interested in the temporal dynamics of this process, and how the brain performs these complex calculations with its limited resources. In my research use of psychophysics, and Bayesian modelling. |
Luis
Glenzer about me
I decided to pursue a PhD because I am fascinated by the brain as a highly efficient machine that enables us to navigate the world successfully. Therefore, I am excited to study the it's perceptual computations that enable this process. Furthermore, I am deeply interested in consciousness, which shares key properties with our ability to access these computations and form confidence in subsequent actions. In my project, I combine multisensory fMRI experiments with Bayesian modeling and machine-learning. |
Masters students