In the following chapters we give short descriptions of the research projects in the cognitive science and technology group.
Cognitive Science and Technology Group studies neurocognitive mechanisms of human communication and develops methods for brain signal analysis. Perceptual mechanisms are studied in psychophysical experiments, in which various aspects of the stimuli as well as subject’s mental state are manipulated. On the basis of the results we also construct system level models, which can guide future experiments and provide ideas for automatic recognition and synthesis of, e.g., audiovisual speech. Neurophysiological mechanisms of communication are studied by electroencephalography (EEG), magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI). Psychophysical and EEG experiments are made in our research laboratories located in the fourth floor of the HUT’s new Magnet House. fMRI measurements are made using a new 3-T MRI device (General Electric 3T Signa) in the Advanced Magnetic Imaging (AMI) Centre, located in the Magnet House at the HUT campus. MEG recording are made using the whole-head neuromagnetometers (Vectorview, Neuromag Ltd) of the HUT’s Low Temperature Laboratory and the Biomag laboratory of the Helsinki University Hospital. Our brain signal analysis methods development work aims at capitalizing on the complementary information provided by MEG, EEG, and fMRI to significantly enhance the spatiotemporal accuracy in our cognitive neuroimaging efforts. Following the principles of neuroinformatics, we are also committed to making our tools as well as data freely available to benefit the greater neuroscience community. We are also developing an Artificial Person (AP), a model of the communicating human being. AP provides us a well-controlled audiovisual speech stimulus for basic research but may also be used in various applications. Together with Computational Information Technology group we are developing Brain-Computer interfaces. This research is described in section 5.1.1.