In my research, I aim to unravel the neural mechanisms underlying human visual perception and develop sophisticated machine learning methods to model and decode signals from the human brain. Combining these two efforts (i.e., artificial intelligence and cognitive neuroscience), I work towards assistive devices by advancing neurotechnological systems including (non-invasive) brain-computer interfacing, for instance for communication and control.
Interests
- Artificial Intelligence
- Brain-computer interfacing
- Code-modulated visual evoked potentials
- Cognitive neuroscience
- Perceptual filling-in
- Visual perception
Education
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PhD in Cognitive Neuroscience, 2022
Radboud University
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MSc in Artificial Intelligence, 2016
Radboud University
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MSc in Cognitive Neuroscience, 2015
Radboud University
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BSc in Artificial Intelligence, 2013
Radboud University