Brain dynamics for confidence-weighted learning

HIGHLIGHTS

  • who: Florent Meyniel from the Université Paris-Saclay, Gif-sur-Yvette, France Editor: Jill O'Reilly, Oxford University, UNITED have published the research: Brain dynamics for confidence-weighted learning, in the Journal: (JOURNAL)
  • what: The authors propose to use optimal Bayesian models as a benchmark to formalize, at a computational level, the learning process. The activity time course in the confidence cluster (Fig 2B), provided for illustrative purpose, shows that the response around 200 ms, characterized by an inward field (negative sign), is more vigorous for unexpected stimuli, and dampened for higher confidence, akin to . . .

     

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