Semantic encoding during language comprehension at single-cell resolution | Nature

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Advertisement Nature volume 631, pages 610–616 (2024)Cite this article 53k Accesses 11 Citations 468 Altmetric Metrics details From sequences of speech sounds1,2 or letters3, humans can extract rich and nuanced meaning through language. This capacity is essential for human communication. Yet, despite a growing understanding of the brain areas that support linguistic and semantic processing4,5,6,7,8,9,10,11,12, the derivation of linguistic meaning in neural tissue at the cellular level and over the timescale of action potentials remains largely unknown. Here we recorded from single cells in the left language-dominant pre

Download PDF Subjects Language Neural decoding Abstract From sequences of speech sounds 1 , 2 or letters 3 , humans can extract rich and nuanced meaning through language. This capacity is essential for human communication. Yet, despite a growing understanding of the brain areas that support linguistic and semantic processing 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , the derivation of linguistic meaning in neural tissue at the cellular level and over the timescale of action potentials remains largely unknown. Here we recorded from single cells in the left language-dominant prefrontal cortex as par

related reading

• Semantic reconstruction of continuous language from non-invasive brain recordings | Nature Neurosciencenature.com
• Verbalizable Representations Form a Global Workspace in Language Modelstransformer-circuits.pub
• [2606.18667] Can neurons speak? Semantic narration of vision at single-cell resolutionarxiv.org
• Towards Monosemanticity: Decomposing Language Models With Dictionary Learningtransformer-circuits.pub
• High-level visual representations in the human brain are aligned with large language models | Nature Machine Intelligencenature.com
• Engram neurons: Encoding, consolidation, retrieval, and forgetting of memorynature.com
• Order matters: neurons in the human brain fire in sequences that encode informationnature.com
• A large-scale estimate on the relationship between language and motor lateralizationnature.com
• Towards Monosemanticity: Decomposing Language Models With Dictionary Learningtransformer-circuits.pub
• Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findingsnature.com
• Dynamic and selective engrams emerge with memory consolidationnature.com
• Large-scale neural recordings call for new insights to link brain and behavior | Nature Neurosciencenature.com