Welcome to the Brain State Decoding Lab!
About the Brain State Decoding Lab
The Brain State Decoding Lab focuses on machine learning methods for the decoding of brain states in real-time. The Lab is headed by Dr. Michael Tangermann and embedded into both, the Dept. of Computer Science and the Cluster of Excellence BrainLinks-BrainTools.
Our research comprises:
- 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
- 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: