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Computational neuroscience

How neural rhythms can guide word recognition

The recent computational model ‘BRyBI’ proposes that gamma, theta, and delta neural oscillations can guide the process of word recognition by providing temporal windows for the integration of bottom-up input with top-down information.

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Fig. 1: A conceptual overview of the brain rhythm-based inference (BRyBI) model, a computational model of speech processing in the auditory cortex.

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Correspondence to Sophie Slaats.

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Slaats, S. How neural rhythms can guide word recognition. Nat Comput Sci 5, 848–849 (2025). https://doi.org/10.1038/s43588-025-00888-5

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