Topic: stochastic noise

Listeners benefit from integrating prior beliefs with auditory sensory signals according to their relative reliability to reduce effects of stochastic noise. In volatile environments, however, listeners should not integrate when a change of signal source renders their prior beliefs irrelevant. Bayesian causal inference could provide the brain with an optimal strategy for adaptively adjusting its reliance on priors. Mechanistically, it has been suggested that the arousal system modulates the weights between prior and likelihoodaccordingly. We tested these hypotheses in an auditory localization