Adaptive deep probabilistic regression for real-time motor excitability state prediction from human EEG

• Lisa Haxel,
• Jaivardhan Kapoor,
• Oskari Ahola,
• Olli-Pekka Kahilakoski,
• Miriam Kirchhoff,
• Timo Roine,
• Ulf Ziemann,
• Jakob H. Macke

Affiliations

Lisa Haxel

Machine Learning in Science, Excellence Cluster Machine Learning & Tübingen AI Center, Germany; Hertie Institute for Clinical Brain Research, Department Neurology and Stroke, Germany

Jaivardhan Kapoor

Machine Learning in Science, Excellence Cluster Machine Learning & Tübingen AI Center, Germany

Oskari Ahola

Hertie Institute for Clinical Brain Research, Department Neurology and Stroke, Germany; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Finland

Olli-Pekka Kahilakoski

Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Finland

Miriam Kirchhoff

Hertie Institute for Clinical Brain Research, Department Neurology and Stroke, Germany

Timo Roine

Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Finland

Ulf Ziemann

Hertie Institute for Clinical Brain Research, Department Neurology and Stroke, Germany

Jakob H. Macke

Machine Learning in Science, Excellence Cluster Machine Learning & Tübingen AI Center, Germany; Department Empirical Inference, Max Planck Institute for Intelligent Systems, Germany