Lexicon-level contrastive visual-grounding improves language modeling
Zhuang, C., Fedorenko, E., & Andreas, J. 2024. Findings of the Association for Computational Linguistics ACL 2024, 231-247.
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What we mean when we say semantic: A consensus statement on the nomenclature of semantic memory
Reilly, J., Diaz, M., Pylkkänen, L., Jefferies, E., Poeppel, D., Zubicaray, G., ... & Rodd, J. 2024. Psychonomic Bulletin and Review.
Visual grounding helps learn word meanings in low-data regimes
Zhuang, C., Fedorenko, E., & Andreas, J. 2024. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1 (Long Papers), 1311-1329.
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Functional characterization of the language network of polyglots and hyperpolyglots with precision fMRI
Malik-Moraleda, S.*, Jouravlev. O.*, Mineroff, Z., Cucu, T., Taliaferro, M., Mahowald, K., Blank, I. & Fedorenko. E. 2024. Cerebral Cortex, 34(3), bhae049. DOI: 10.1093/cercor/bhae049. PMID: 38466812. PMC10928488.
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The language network reliably ‘tracks’ naturalistic meaningful non-verbal stimuli
Sueoka, Y.*, Paunov, A.*, Tanner, A., Blank, I., Ivanova, A. A.^, Fedorenko, E.^ 2024. Neurobiology of Language, 5(2), 385-408. DOI: 10.1162/nol_a_00135. PMID: 38911462. PMC11192443.
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Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training
Hosseini, E., Schrimpf, M., Zhang, Y., Bowman, S., Zaslavsky, N. & Fedorenko, E. 2024. Neurobiology of Language, 5(1), 43-63. DOI: 10.1162/nol_a_00137. PMID: 38645622. PMC11025646.
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Preserved functional organization of human auditory cortex in individuals missing one temporal lobe from infancy
Regev, T. I.*, Lipkin, B.*, Boebinger, D. L., Paunov, A. M., Kean, H., Norman-Haignere, S. V., & Fedorenko, E. 2024. iScience, 27(9), 110548. DOI: 10.1016/j.isci.2024.110548. PMID: 36711687. PMC9882328.
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Neural populations in the language network differ in the size of their temporal receptive windows
Regev, T. I.*, Casto, C.*, Hosseini, E., Adamek, M., Ritaccio, A. L., Willie, J. T., Brunner, P., & Fedorenko, E. Nature Human Behavior. DOI: 10.1038/s41562-024-01944-2.
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Reply to ‘The language network is topographically diverse and driven by rapid syntactic inferences’
Fedorenko, E., Ivanova, A. A. & Regev, T. I. 2024. Nature Reviews Neuroscience. DOI: 10.1038/s41583-024-00853-7. PMID: 39123047.
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Language is primarily a tool for communication rather than thought
Fedorenko, E., Piantadosi, S.T. & Gibson, E.A.F. 2024. Nature, 630, 575–586. DOI: 10.1038/s41586-024-07522-w. PMID: 38898296.
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The language network as a natural kind within the broader landscape of the human brain
Fedorenko, E., Ivanova, A.A. & Regev, T.I. 2024. Nature Reviews Neuroscience, 25, 289–312. DOI: 10.1038/s41583-024-00802-4. PMID: 38609551.
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Language in brains, minds, and machines
Tuckute, G., Kanwisher, N., & Fedorenko, E. 2024. Annual Review of Neuroscience, 47. DOI: 10.1146/annurev-neuro-120623-101142.
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Driving and suppressing the human language network using large language models
Tuckute, G., Sathe, A., Srikant, S., Taliaferro, M., Wang, M., Schrimpf, M., Kay, K., & Fedorenko, E. 2024. Nature Human Behavior, 8(3), 544-561. DOI: 10.1038/s41562-023-01783-7. PMID: 38172630.
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