Workshop:

Electroencephalography (EEG) is a non-invasive neuroimaging technique. It records the scalp voltage potentials resulting from current flow in and around neurons, providing a direct measure of brain activity. EEG has an excellent temporal resolution, its affordability and portability contribute to its huge potential for research and clinical applications. Nevertheless it lacks spatial resolution and recordings suffer from the effects of instantaneous field spread. These problems are mathematically underdetermined, therefore it has been proposed to use computational models to circumvent them. Computational models allow experimenters to simulate phenomena and interactions beyond what could be physiologically tested and observed in the real world. We believe that the use of computational modelling of brain networks could greatly help to overcome the limitations of EEG recordings, while at the same time computational models would benefit from real-time recordings. The aim of this workshop is to gather together experts of both communities to bridge these subjects.