Auditory deviance detection reflects the ability to identify violations of statistical regularities in sound sequences and is influenced by stimulus properties and contextual expectations. Using a priming paradigm in which listeners were exposed to different pitch distributions prior to deviant detection trials, we examined how performance varied across the experiment (global context) and relative to short-term priors (local context). Results show that listeners accumulate statistical information across distinct contextual time scales, where local and global context influence deviance detection. Computational modeling using a predictive coding framework is consistent with these effects, highlighting the importance of integrating contextual information across scales in dynamic acoustic environments.
Blunt et al. (Wed,) studied this question.