Data-Driven NeuroTechnology Lab
The lab is embedded in the Donders Institute for Brain, Cognition and Behaviour and in the department of Artificial Intelligence. Our research focusses on data-driven neurotechnology, i.e., domain-specific machine learning methods which allow to decode brain states in single trial and methods which permit to modulate the ongoing brain state.
The developed methods are employed to further our insight into perception-, motor-, and cognitive functions for both, the healthy and the diseased brain.
Building upon these insights we regularly transfer machine learning models into closed loop protocols (1) to provide novel tools for the fundamental neuroscientific research, and (2) to create applications such as brain-computer interface (BCI) systems for patients and healthy users.
| Contact | |
| Name: | dr. M.W. Tangermann (Michael) |
| Telephone: | |
| Email: | michael.tangermann@donders.ru.nl |
| Visiting address: | Donders Centre for Cognition Thomas van Aquinostraat 4 6525 GD Nijmegen The Netherlands |
| Postal address: | Donders Centre for Cognition P.O. Box 9104 6500 HE Nijmegen The Netherlands |
| Key grants and prizes |
| Key publications |
Back to:
Theme 4:
Natural Computing & Neurotechnology
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Research Group
Data-Driven Neurotechnology Lab
Principal Investigator
dr. M.W. Tangermann (Michael)
Group members
Senior Staff
Peter Desain (professor)
Jordy Thielen (assistant professor)
Research Fellow
Postdocs
PhD's
Matthias Dold
Simon Kojima (guest)