Contextual Semantic Relevance Tracks fMRI BOLD Responses During Naturalistic Speech Comprehension
Naturalistic language comprehension requires listeners to process both local probabilistic expectations and contextual semantic relations. Surprisal has been widely used to quantify local word unexpectedness, but evidence that it robustly predicts fMRI BOLD responses during continuous comprehension has been mixed. This study investigates whether contextual semantic relevance, defined as how strongly an incoming word relates to its recent semantic context, predicts BOLD responses during naturalistic speech comprehension. We analyzed two public fMRI datasets, the Alice dataset and the Moth datas
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- FuzzySimilar title/name (fuzzy) · 87%huggingface/speech-to-speech →
“Fuzzy title match (0.94): “Contextual Semantic Relevance Tracks fMRI BOLD Responses Dur” ≈ “huggingface/speech-to-speech””
- FuzzyOverlapping authors or contributors · 62%google-research/google-research →
“Shared author/contributor keys: sun”
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- FuzzySimilar title/name (fuzzy) · 59%microsoft/semantic-kernel →
“Fuzzy title match (0.73): “Contextual Semantic Relevance Tracks fMRI BOLD Responses Dur” ≈ “microsoft/semantic-kernel””
- LinkedLinked via arxiv author · 85%Kun Sun →
“Contextual Semantic Relevance Tracks fMRI BOLD Responses During Naturalistic Speech Comprehension”
- LinkedLinked via arxiv author · 85%Rong Wang →
“Contextual Semantic Relevance Tracks fMRI BOLD Responses During Naturalistic Speech Comprehension”