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Reconstructing the brain’s language network from non-invasive EEG enables interpretable speech decoding

2026-08-18

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<title>Abstract</title> <p>Non-invasive EEG-based speech decoding typically treats the neural-to-text mapping as a black box, offering limited interpretability and few explicit links to the brain’s language networks. Here we present a framework that reconstructs language-network dynamics in source space from scalp EEG by integrating neural perturbational inference with geometric constraints derived from cortical...

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Literature Corpus work: c973e10c-110d-51d4-992d-0a6164f74473
DOI: 10.21203/rs.3.rs-10426644/v1

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