ArticleNeuron2024
A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations.
Article in Neuron, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Review
- A population code for semantics in human hippocampus.Nature neuroscience · 2026Article
- Brain-AI convergence: Generative world models and hierarchical attention for human intelligence.Patterns (New York, N.Y.) · 2026Review
- Towards naturalistic social neuroscience: A multi-level framework integrating real-world phenotyping, neurobiology, and computational mechanisms.Cognitive, affective & behavioral neuroscience · 2026Review
- Article
- Frontal cortex organization supporting audiovisual processing during naturalistic viewing.Nature communications · 2026Article
- Speech Neurophysiology in Realistic Contexts: Big Hype or Big Leap?The European journal of neuroscience · 2026Review
- Spurious alignment between large language models and brains can emerge from non-robust methods and overlooked confounds.Nature communications · 2026Article
- Affiliation in human-AI interactions is based on shared psychological traits.Communications psychology · 2026Article
- The role of dorsal anterior cingulate cortex in dynamic attitude changes in naturalistic settings.Communications biology · 2026Article
- Article
- Aligning brains into a shared space improves their alignment with large language models.Nature computational science · 2026Article
- Towards an informational account of interpersonal coordination.Nature reviews. Neuroscience · 2026Review
- The missing value of medical artificial intelligence.Nature medicine · 2025Article
- Learning with others: teacher-learner brain synchrony depends on mutual gaze and joint attention.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Naturalistic fMRI and MEG recordings during viewing of a reality TV show.Scientific data · 2025Article
- Collaborative rule learning promotes interbrain information alignment.PLoS biology · 2025Article
- Temporal propagation of neural state boundaries in naturalistic context.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Conversational content is organized across multiple timescales in the brain.Nature human behaviour · 2025Article
- Linguistic coupling between neural systems for speech production and comprehension during real-time dyadic conversations.bioRxiv : the preprint server for biology · 2025Article
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17 authors.
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Abstract
Effective communication hinges on a mutual understanding of word meaning in different contexts. We recorded brain activity using electrocorticography during spontaneous, face-to-face conversations in five pairs of epilepsy patients. We developed a model-based coupling framework that aligns brain activity in both speaker and listener to a shared embedding space from a large language model (LLM). The context-sensitive LLM embeddings allow us to track the exchange of linguistic information, word by word, from one brain to another in natural conversations. Linguistic content emerges in the speaker's brain before word articulation and rapidly re-emerges in the listener's brain after word articulation. The contextual embeddings better capture word-by-word neural alignment between speaker and listener than syntactic and articulatory models. Our findings indicate that the contextual embeddings learned by LLMs can serve as an explicit numerical model of the shared, context-rich meaning space humans use to communicate their thoughts to one another.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.