Article

Du-IN-v2: Unleashing the Power of Vector Quantization for Decoding Cognitive States from Intracranial Neural Signals

2024-10-18

Abstract excerpt

While invasive brain-computer interfaces have shown promise for high-performance speech decoding under medical use, the potential of intracranial stereoElectroEncephaloGraphy (sEEG), which causes less damage to patients, remains underexplored. With the rapid progress in representation learning, leveraging abundant pure recordings to further enhance speech decoding becomes increasingly attractive. However, some pop...

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Literature Corpus work: 2633342b-7553-5b9b-baa2-850827b1e84b
DOI: 10.1101/2024.10.16.618686

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