Natural Computing and Neurotechnology

In the Natural Computing and Neurotechnology track, you’ll gain knowledge of the anatomical and neurophysiological aspects of networks in the human brain and the techniques for the computational analysis and modelling of brain networks. This will enable you to conduct independent research into the neurofunctional architecture of cognitive key functions, such as perception, attention, memory, language, planning and targeted actions and develop technologies to measure, characterise and model networks at the whole brain level and/or the local cortical circuit.

As a student of the track in Natural Computing and Neurotechnology, you must choose 18 ECs of the following seven courses:

• Computational Neuroscience
• CDS: Machine learning
• Hands-on Neuroscience
• Quantitative Brain Networks
• Complex Adaptive systems
• AI for Neurotechnology
• Cognition and Complexity
   

Something for you? 

• Researchers in Nijmegen combine new techniques for electrophysiological and anatomical measurements of connectivity and activation with data analysis and the experimental application of these techniques.
• Exceptional students who choose this track have the opportunity to do a double degree programme with either Neurophysics or Artificial Intelligence. This will take three instead of two years.
• This competitive programme provides a sound balance of theory and practice. Our selective approach guarantees excellence, especially during the research training period