Traveling waves shape neural population dynamics enabling predictions and internal model updating.

ABSTRACT: The brain generates predictions based on statistical regularities in our environment. However, it is unclear how predictions are optimized through iterative interactions with the environment. Because traveling waves (TWs) propagate across the cortex shaping neural excitability, they can carry information to serve predictive processing. Using human intracranial recordings, we show that anterior-to-posterior alpha TWs correlated with prediction strength. Learning about priors altered neural state space trajectories, and how much it altered correlated with trial-by-trial prediction strength. Learning involved mismatches between predictions and sensory evidence triggering alpha-phase resets in lateral temporal cortex, accompanied by stronger alpha phase-high gamma amplitude coupling and high-g

SUBMITTER: Mohanta S 

PROVIDER: S-EPMC10802392 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature