Alpha oscillations and traveling waves: Signatures of predictive coding?

Andrea Alamia and Rufin VanRullen

PLOS Biology, 2019, vol. 17, issue 10, 1-26

Abstract: Predictive coding is a key mechanism to understand the computational processes underlying brain functioning: in a hierarchical network, higher levels predict the activity of lower levels, and the unexplained residuals (i.e., prediction errors) are passed back to higher layers. Because of its recursive nature, we wondered whether predictive coding could be related to brain oscillatory dynamics. First, we show that a simple 2-level predictive coding model of visual cortex, with physiological communication delays between levels, naturally gives rise to alpha-band rhythms, similar to experimental observations. Then, we demonstrate that a multilevel version of the same model can explain the occurrence of oscillatory traveling waves across levels, both forward (during visual stimulation) and backward (during rest). Remarkably, the predictions of our model are matched by the analysis of 2 independent electroencephalography (EEG) datasets, in which we observed oscillatory traveling waves in both directions.A predictive coding model explains the spatio-temporal dynamics of alpha oscillations recorded in human brain experiments, including traveling waves whose direction of propagation depends on the cognitive state.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pbio00:3000487

DOI: 10.1371/journal.pbio.3000487

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