Donders Institute for Brain, Cognition and Behaviour
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Theme 4: Brain Networks and Neuronal Communication

Machine Learning (Biophysics)

Donders Institute for Brain, Cognition and BehaviourMy research focuses on the computational challenge that one faces when trying to understand intelligent behavior in natural systems, or when one attempts to build artificial intelligence.

For instance, intelligent behavior is adaptive and changes on the basis of past seen data; it requires integration of sensory data with prior knowledge; and it must be robust to noise. These problems are fundamental and they occur in many intelligent tasks (cf. vision, motor control, memory, etc.). They are shared by natural and artificial intelligence. My general research goal is to provide theoretical insights, models and approaches that address these issues and is at the interface of machine learning and neuro-science.

Name: Bert Kappen
Telephone: 024-3614241
Fax: 024-3541435
Visiting address: Department of Biophysics
Radboud University Nijmegen
Heyendaalseweg 135
6525 AJ Nijmegen
The Netherlands
Postal address: Department of Biophysics
Radboud University Nijmegen
P.O. Box 9010
6500 GL Nijmegen
The Netherlands
  • BrainGain (Smart mix)
  • Genetic association study using machine learning methods (Donders internal round)
  • Brain imaging, genetics and psychiatry using machine learning methods (NWO Cognition)
  • Multi-agent systems (with Thales D-Cis lab)
  • Bonaparte (Smart Research with the Dutch Forensic Institute)
  • Bovinose (Smart Research, EU FP7)
  • CompLACS (EU FP7)
  • SUMO (EU FP7)
  • NETT
Key publications
  • Kappen H.J., Gómez V., Opper M. Optimal control as a graphical model inference problem Machine Learning, vol. 87, no. 2, pp. 159-182, 2012 pdf
  • Kappen H.J. The variational garrote Machine Learning, pp. 1-17, 2012
  • Llera A., Gómez V., Kappen H.J. Adaptive classification on brain computer interfaces using reinforcement signals Neural Computation, vol. 24, no. 11, pp. 2900-2923, 2012
  • Gheshlaghi Azar M., Munos R., Kappen H.J. On the sample complexity of reinforcement learning with a generative model Proceedings of the International Conference on Machine Learning Learning, vol. 29 th, pp. 1-11, 2012  pdf
  • Torres J.J., Kappen H.J. Emerging phenomena in neural networks with dynamic synapses and their computational implications  pdf


Back to:
Theme 4:
Neural Computation and Neurotechnology

Research Group
Machine Learning (Biophysics)

Principal Investigator
Prof. Bert Kappen

Group members
Wim Wiegerinck

Dr. Eduardo Dominguez

PhD student

Onno Huijgen
Peyman Najafi
Aarón Villanueva

Programmer Smart Research bv
Willem Burgers

Executive secretary
Gerda van 't Spijker