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Journal Article

Phase-coded oscillatory ordering promotes the separation of closely matched representations to optimize perceptual discrimination

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Ten Oever,  Sanne
Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University;
Language and Computation in Neural Systems, MPI for Psycholinguistics, Max Planck Society;
FC Donders Centre for Cognitive Neuroimaging , External Organizations;

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TenOever, 2020b.pdf
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TenOever_etal_2020_suppl..pdf
(Supplementary material), 331KB

Citation

Ten Oever, S., Meierdierks, T., Duecker, F., De Graaf, T., & Sack, A. (2020). Phase-coded oscillatory ordering promotes the separation of closely matched representations to optimize perceptual discrimination. iScience, 23(7): 101282. doi:10.1016/j.isci.2020.101282.


Cite as: https://hdl.handle.net/21.11116/0000-0006-9FF6-2
Abstract
Low-frequency oscillations are proposed to be involved in separating neuronal representations belonging to different items. Although item-specific neuronal activity was found to cluster on different oscillatory phases, the influence of this mechanism on perception is unknown. Here, we investigated the perceptual consequences of neuronal item separation through oscillatory clustering. In an electroencephalographic experiment, participants categorized sounds parametrically varying in pitch, relative to an arbitrary pitch boundary. Pre-stimulus theta and alpha phase biased near-boundary sound categorization to one category or the other. Phase also modulated whether evoked neuronal responses contributed stronger to the fit of the sound envelope of one or another category. Intriguingly, participants with stronger oscillatory clustering (phase strongly biasing sound categorization) in the theta, but not alpha, range had steeper perceptual psychometric slopes (sharper sound category discrimination). These results indicate that neuronal sorting by phase directly influences subsequent perception and has a positive impact on discrimination performance