Since the pioneer work of von Helmholtz (1867), it has been conjectured that the brain does statistical model selection by assigning probabilistic models to samples of stimuli and making statistical inference to predict upcoming events. In line with this proposal, electrophysiological signatures of impending actions as well as brain signatures associated to sequence learning have been identified in the human brain. Recently, our team obtained results supporting the conjecture that the brain effectively identifies the structure of the chain generating the sequence of stimuli. In this workshop we propose to expand this original approach by discussing a whole set of new experimental protocols addressing the fundamental question of how the brain makes statistical inference to predict upcoming events.
By Risto Ilmoniemi
By William Lytton
By Claudia Vargas
By Daniel Fraiman
By Oswaldo Baffa Filho
By Leonardo Cohen
By Yves Frégnac
By Maria Elisa Pimentel Piemonte , Rafael Bassi Stern
By Fabrizia Mealli
By Sylvain Le Corff
By Ronnie Pavlov
By Tamara Kucherenko
