This project aims at applying variational RSA to iEEG data. This method is a Bayesian implementation of representation similarity analysis. Using the Bayesian framework enables formal quantification of evidences for specific predictions. This in turns enables formal comparison of theory based on the amount of evidences for each. This method will be applied to iEEG data to formally compare IIT and GNW predictions. Method: Variational RSA, developped initially for fMRI by Peter and Karl, extended to EEG/MEG/iEEG for COGITATE, not published yet |