Analysing Brain Signals
Are we in the future able to control technical devices using only our thoughts and by monitoring brain activity. The master projects below are to be undertaken together with neuroscience experts at Department of Psychology at UiO. In general, we are interested in developing models that use brain signals (mainly EEG) to either predict mental states or provide feedback back to the person about brain states. In the end, our ambition is to inform the development of prosthetic devices based on scalp EEG. This can be expressed in three related areas of research interests.
Some examples of projects:
- Brain signals converted into sound.Make a system that will take EEG signals as input and playback auditive information based on the signal. This can be implemented as a “make the brain sing” device or as biofeedback. One way would be to use brain signals to rise or lower pitch or volume or placement of sound in space or change a rhythm pattern.
- Prediction of rhythm.The project focuses around how the brain represents and predicts perceived rhythms. A subproject could be to develop a decoding system that can be used for classification purposes in research related to temporal prediction. We would particularly be interested in the signals associated with perception of and control over acceleration, deceleration and steady tempo rhythmic signals.
- Rhythm related mental state monitoring? We know that there are “rhythm like” oscillations in the human brain. We would like develop analysis tools that enable us to link “brain rhythms” to different types of behavior. Particularly we would like to identify different subsystems that are expressing rhythms in conditions where people relax and do nothing. We would particularly want to explore if machine-learning techniques serve as better classifiers than standard statistical approaches like independent component analysis (ICA).