Decoding the rhythmic representation and communication of visual contents.

Trends Neurosci

Neural Computation Group, Department of Mathematics and Computer Science, Physics, Geography, Justus-Liebig-Universität Gießen, Gießen 35392, Germany; Center for Mind, Brain and Behavior (CMBB), Philipps-Universität Marburg, Justus-Liebig-Universität Gießen & Technische Universität Darmstadt, Marburg 35032, Germany. Electronic address:

Published: January 2025

Rhythmic neural activity is considered essential for adaptively modulating responses in the visual system. In this opinion article we posit that visual brain rhythms also serve a key function in the representation and communication of visual contents. Collating a set of recent studies that used multivariate decoding methods on rhythmic brain signals, we highlight such rhythmic content representations in visual perception, imagery, and prediction. We argue that characterizing representations across frequency bands allows researchers to elegantly disentangle content transfer in feedforward and feedback directions. We further propose that alpha dynamics are central to content-specific feedback propagation in the visual system. We conclude that considering rhythmic content codes is pivotal for understanding information coding in vision and beyond.

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http://dx.doi.org/10.1016/j.tins.2024.12.005DOI Listing

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