Selective encoding of priors for flexible categorization but not Bayesian inference in the frontal eye field
This study demonstrates that while frontal eye field (FEF) neurons encode prior beliefs during both Bayesian inference and anti-Bayesian categorization tasks, this neural activity specifically predicts flexible decision boundaries for categorization rather than optimal Bayesian integration, revealing that these two distinct computational mechanisms are dissociable in the primate brain.