Direct brain recordings reveal implicit encoding of structure in random auditory streams.

ABSTRACT: The brain excels at processing sensory input, even in rich or chaotic environments. Mounting evidence attributes this to sophisticated internal models of the environment that draw on statistical structures in the unfolding sensory input. Understanding how and where such modeling proceeds is a core question in statistical learning and predictive processing. In this context, we address the role of transitional probabilities as an implicit structure supporting the encoding of the temporal structure of a random auditory stream. Leveraging information-theoretical principles and the high spatiotemporal resolution of intracranial electroencephalography, we analyzed the trial-by-trial high-frequency activity representation of transitional probabilities. This unique approach enabled us to demonstra

SUBMITTER: Fuhrer J 

PROVIDER: S-EPMC12034823 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature