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Message ID: 4     Entry time: Fri Jun 14 07:40:36 2024
Submitter: Alex Lepauvre 
Institution: Max Planck Institute for empirical aesthetics 
Email: alex.lepauvre@ae.mpg.de 
Expiration Date:08/31/24 
Title: Variational RSA applied to iEEG data 
Type: ASP 
ORCID:  
Co-authors:  
Data Used:  
OVERLAP WITH PREREGISTRATION: No 
Status: IDEA 
Publication Status: IN PREPARATION 
Final Citation:  
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
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