Larger language models better align with neural representations of natural language.
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| Title: | Larger language models better align with neural representations of natural language. |
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| Authors: | Hong Z; Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, United States., Wang H; Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, United States., Zada Z; Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, United States., Gazula H; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, United States., Turner D; Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, United States., Aubrey B; Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, United States., Niekerken L; Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, United States., Doyle W; New York University Grossman School of Medicine, New York, United States., Devore S; New York University Grossman School of Medicine, New York, United States., Dugan P; New York University Grossman School of Medicine, New York, United States., Friedman D; New York University Grossman School of Medicine, New York, United States., Devinsky O; New York University Grossman School of Medicine, New York, United States., Flinker A; New York University Grossman School of Medicine, New York, United States., Hasson U; Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, United States., Nastase S; Department of Psychology and the Neuroscience Institute, Princeton University, Princeton, United States., Goldstein AY; Business School, Data Science Department and Cognitive Science Department, Hebrew University, Jerusalem, Israel. |
| Source: | ELife [Elife] 2026 Sep 16; Vol. 13. Date of Electronic Publication: 2026 Sep 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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