Cognitive Computational Neuroscience
Aim
Our group is using electrophysiological and computational techniques to study functions of the human brain in health and disease.
Research focus:
- Neural functions in coma and sleep
- Neural correlates of auditory processing and predictions
- Machine learning algorithms for electrophysiological data
To investigate these topics we are using electrophysiological recordings in humans (scalp EEG, intracranial EEG/ECoG, MEG, single unit measurements), in combination with machine learning algorithms (multivariate decoding for EEG signals, deep learning algorithms).
We are part of the Institute of Computer Science at the Faculty of Science, and of the Department of Neurology, at the Faculty of Medicine, at the University of Bern, in Switzerland.
Figure created by Florence Aellen and Sigurd Alnes