Project B3 - Neurocognitive mechanisms for transfer and generalization in implicit crossmodal learning
PIs: Prof. Dr. Qiufang Fu, PD. Dr. Michael Rose
Project B3 will extend current findings on implicit learning of crossmodal information. The main goal is to examine how generalization of implicit knowledge to more complex, life-like environments in serial prediction tasks differs from current models. To this end, neuronal correlates and computational foundations of implicit crossmodal learning are examined in virtual reality (VR) with concurrent EEG measurements in crossmodal prediction contexts. Secondly, the mechanisms of transfer learning of implicitly learned rules will be studied between modalities as well as across different crossmodal configurations. Here, neuronal correlates will be identified by employing a combination of fMRI and EEG. Lastly, the influence of emotion and culture are tested for their modulation of crossmodal transfer learning effects.
Results from an EEG based Brain-Computer Interface Training using gamma band activity in the lateral occipital cortex.