Daniel Valli, Evgenii Belykh, Xiaochun Zhao, Sirin Gandhi, Claudio Cavallo, Nikolay L Martirosyan, Peter Nakaji, Michael T Lawton, Mark C Preul
Development of a Simulation Model for Fluorescence-Guided Brain Tumor Surgery
Frontiers in oncology
reasoning hidden relational structure sequences events crucial ability humans possess helps predict future make inferences besides simple statistical properties humans also excel learning complex relational networks several brain regions engaged process yet timeresolved neural implementation relational structure learning contribution behavior remains unknown human subjects performed probabilistic sequential prediction task image sequences generated transition graphlike network brain activities recorded using electroencephalography eeg demonstrate emergence two key aspects relational knowledge lowerorder transition probability higherorder community structure arise around 540930 ms image onset well predict behavioral performance furthermore computational modeling suggests formed higherorder community structure ie compressed clusters network could well characterized successor representation operation overall human brains computing temporal statistical relationship among discrete inputs based new abstract graphlike knowledge could constructed