Under the roof of the BrainLinks-BrainTools excellence cluster, the BSDLab (headed by Michael Tangermann) focuses on machine learning methods for the decoding of brain states in real-time. Our research comprises:
  1. Neurotechnological data analysis methods:
    • Single-trial data analysis with state-of-the-art machine learning methods
    • Analysis of multimodal signals (e.g. neurophysiological, behavior, eye-tracking, heart rate variability, etc)
    • Adaptive machine learning approaches to compensate non-stationarity of brain signals
    • Classification and regression in the context of high-dimensional and noisy data
  2. Application fields:
    • Foundations of BCI .
    • Brain-computer interfaces (BCIs) for communication and control
    • Closed-loop rehabilitation of motor deficits and of cognitive deficits after stroke (see the Projects section)
    • Online decoding of spatial auditory attention
    • Cognitively informed hearing aids and cochlear implants
    • Optimization of human-machine interfaces
Within the University of Freiburg there are several research groups, which are engaged in BCI and BMI research topics: http://www.bmi.uni-freiburg.de

Albert-Ludwigs-Universität Freiburg
Brain State Decoding Lab
Albertstraße 23, 79104
Freiburg im Breisgau

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