Prof. U. Noppeney (Uta)

Uta Noppeney is a Professor of Systems Neuroscience in the Biophysics dpt. and Principal Investigator at the Donders Centre for Cognitive Neuroimaging.

‘My research investigates how the brain enables us to perceive, understand and interact effectively with the multisensory world around us. Multisensory integration raises some of the most fundamental questions for neural processing, notably decision-making, perceptual inference, learning and probabilistic/statistical computations. To define the underlying computations and neural mechanisms in the healthy and diseased human brain my lab combines behavioural, computational modelling (Bayesian, neural network) and neuroimaging (fMRI, MEG, EEG). For further information, please see http://www.multisensorybrain.com/


We are always looking for excellent and enthusiastic MSc and PhD students and PostDocs. If interested, please get in touch!’


Short Bio
Uta Noppeney studied medicine and philosophy at the University of Freiburg (Germany), University College London (UK) and Johns Hopkins University (Baltimore, USA). She received a degree in medicine (1997, Freiburg University, Germany), a doctorate in medicine (1998, Freiburg University) and a PhD in neuroscience (2004, University College London, UK). After training in neurology at the University Hospital in Aachen, she conducted neuroscience research at the Wellcome Trust Centre for Neuroimaging, University College London (UK). In 2005, she became research group leader at the Max Planck Institute for Biological Cybernetics in Tübingen (Germany). In 2011, she was appointed Professor of Computational Neuroscience and director of the Computational Neuroscience and Cognitive Robotics Centre at the University of Birmingham. Since 2019/2020, she has been Principal Investigator at the Donders Centres for Cognitive Neuroimaging and Neuroscience and Professor of Systems Neuroscience at the Biophysics dpt. of the Donders Institute for Brain, Cognition and Behaviour.

• Perception, Action and Decision-making
• Natural Computing & Neurotechnology
• Language and Communication