Toni AuranenToni AuranenPost Doc Researcher, D.Sc. (Tech.)
My current research interests involve the developmental work of Bayesian modelling and Markov chain Monte Carlo -methods (such as slice sampling and the Metropolis-Hastings algorithm) in the improved solution of the inverse problem of MEG/EEG. As a basis of the analysis, we utilize anatomical magnetic resonance images (MRI) and both simulated and real MEG data. With these methods, we will be able to investigate the whole posterior distribution of many plausible solutions and not only one single estimate (e.g. maximum a posteriori). The figure describes the scope of my main interests at the moment.
Further on, I'm interested in various signal analysis processes of MEG and EEG data. For example, frequency and/or time-frequency domain analysis will also be incorporated to the above-mentioned Bayesian framework as well as the spatial a priori information obtained from functional magnetic resonance imaging (fMRI) data. My other interests include the operation of the human brain in general (audiovisual speech perception and multimodal integration to mention few specifics), background work for developing brain-computer interfaces, and future applications of brain research (artificial intelligence, clinical applications, etc.).
The same in short:
Currently, I have no teaching duties.
Page updated 12.11.2007 URL: http://www.lce.hut.fi/~tjaurane/