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PhD Candidate: Computational Cognitive Neuroscience at the Predictive Brain Lab

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Nijmegen, Nederland Radboud University Voltijd

Recent advances in the field of artificial intelligence and machine learning have put artificial neural networks firmly on the map as a promising approach to both model and understand biological brains. This PhD project aims to harness the recent progress in AI to build computationally explicit models (Artificial Neural Networks, ANNs) that embody the principles of predictive processing. The ultimate goal is to better understand the neural mechanisms underlying our remarkable perceptual abilities by comparing artificial and biological networks in terms of neural and behavioural representations during naturalistic conditions.

As a PhD candidate, you will use a computational approach to model and predict neural responses within the human visual system as well as behavioural performance, and test the neural and behavioural implications of different predictive neural architectures. The experimental and computational work will be conducted at the Donders Institute for Brain, Cognition and Behaviour at Radboud University (Nijmegen, Netherlands). You will join a team of computational and cognitive neuroscientists with complementary expertise, headed by Prof Floris de Lange. You will be an active team member of the Predictive Brain Lab, an internationally renowned, diverse and stimulating research group examining how the brain combines prior knowledge and incoming information to generate perception and cognition.