Neuroinformatics is related to processing of information extracted from the brain. Information can be obtained using various measurement methods such as ElectroEncephaloGrams (EEG), MagnetoEncephaloGraphy (MEG), Positron Emission Tomography (PET), Magnetic Resonance Imaging (MRI), functional MRI (fMRI).
The processing of these signals are often challenging due to noise and complex mechanisms underlying the signal. (See also Human Brain Project).
EEG
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Electroencephalographic recordings measure electrical activities at the scalp that arise from neuronal activity in the brain. Unfortunately, the EEG-data is difficult to grasp in its raw form and is often strongly confounded by noise. Present work aim at extracting the correct physiological features of the EEG and ease the interpretability of the signals.
For more information contact:
, Mads Dyrholm or Lars Kai Hansen |
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fMRI
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Using magnetic resonance imaging it is possible to measure signals related to brain activity. The most widely used method relies on a signal as the Blood Oxygenation Level Dependent (BOLD) signal. The signal rises from the fact that oxygenated blood has different magnetic properties than deoxygenated blood, however the signal is heavily contaminated by noise and the mechanism behind the signal is rather complex and not yet completely understood. Current research therefore applies both supervised and unsupervised methods to analyze and understand the signal.
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For more information contact , Finn Årup Nielsen or Lars Kai Hansen |