An Efficient Multifunction fMRI Localizer for High-Level Visual, Auditory, and Cognitive Regions in Humans
Marvi, A., Hutchinson, S., Fedorenko, E., Saxe, R., Kamps, F., Regev, T. I., Chen, E., & Kanwisher, N. 2025. Imaging Neuroscience. DOI: 10.1162/IMAG.a.905.
Elements of World Knowledge (EWoK): A cognition-inspired framework for evaluating basic world knowledge in language models
Ivanova, A.*, Sathe, A.*, Lipkin, B.*, Kumar, U., Radkani, S., Clark, T.H., Kauf, C., Hu, J., Pramod, R.T., Grand, G., Paulun, V., Ryskina, M., Akyürek, E., Wilcox, E., Rashid, N., Choshen, L., Levy, R., Fedorenko, E., Tenenbaum, J.B. & Andreas, J. 2025.
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Intrinsically memorable words have unique associations with their meanings.
Tuckute, G.*, Mahowald, K.*, Isola, P., Oliva, A., Gibson, E., & Fedorenko, E. 2025. Journal of Experimental Psychology: General, 154(8), 2059-2075. DOI: 10.1037/xge0001742. PMID: 40167531.
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The cost of thinking is similar between large reasoning models and humans.
de Varda, A. G., D’Elia, F. P., Lampinen, A., & Fedorenko, E. 2025.
The time scale of redundancy between prosody and linguistic context.
Regev, T.I., Ohams C., Xie S., Wolf, L., Fedorenko, E., Warstadt, A.*, Wilcox, E.G.* Pimentel T.* 2025. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 1, 30476–30488. DOI: 10.18653/v1/2025.acl-long.1471.
A two-dimensional space of linguistic representations shared across individuals
Tuckute, G., Lee, E., Ou, Y., Fedorenko, E., & Kay, K. 2025.
The cerebellar components of the human language network
Casto, C., Small, H., Poliak, M., Tuckute, G., Lipkin, B., Wolna, A., D’Mello, A., & Fedorenko, E. 2025.
Intuitive physical reasoning is not mediated by linguistic nor exclusively domain-general abstract representations.
Kean, H., Fung, A., Pramod, RT., Chomik-Morales, J., Kanwisher, N. & Fedorenko, E. 2025. Neuropsychologia, 213, 109-125. DOI: 10.1016/j.neuropsychologia.2025.109125. PMID: 40112908.
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Constructed languages are processed by the same brain mechanisms as natural languages.
Malik-Moraleda, S., Taliaferro, M., Shannon, S., Jhingan, N., Swords, S., Peterson, D. J., Frommer, P., Okrand, M., Sams, J., Cardwell, R., Freeman, C. & Fedorenko, E. 2023. PNAS, 122(12). DOI: 10.1073/pnas.2313473122.
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Multilingual Computational Models Reveal Shared Brain Responses to 21 Languages.
de Varda, A. G., Malik-Moraleda, S., Tuckute, G., & Fedorenko, E. 2025.
How to optimize neuroscience data utilization and experiment design for advancing primate visual and linguistic brain models?
Tuckute, G., Finzi, D., Margalit, E., Yates, J., Zylberberg, J., Fyshe, A., Chung, S., Fedorenko, E., Kriegeskorte, N., Grill-Spector, K. and Kar, K. 2025. Neurons, Behavior, Data Analysis, and Theory. DOI: 10.51628/001c.127807.
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Universality of representation in biological and artificial neural networks.
Hosseini, E., Casto, C., Zaslavsky, N., Conwell, C., Richardson, M. & Fedorenko, E. 2024.
Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models.
Kauf, C., Chersoni, E., Lenci, A., Fedorenko, E. & Ivanova A. A. 2024. Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 1, 263-277. DOI: 10.18653/v1/2024.blackboxnlp-1.18.
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The language network ages well: Preserved selectivity, lateralization, and within-network functional synchronization in older brains.
Billot, A.*, Jhingan, N.*, Varkanitsa, M., Blank, I., Ryskin, R., Kiran, S.^ & Fedorenko, E.^ 2024.
An abstract linguistic space for transmitting information from one mind to another.
Tuckute, G. & Fedorenko, E. 2024. Neuron, 112(118), 2996-2998. DOI: 10.1016/j.neuron.2024.09.005. PMID: 39326388.
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Linguistic inputs must be syntactically parsable to fully engage the language network
Kauf, C., Kim, H. S., Lee, E. J., Jhingan, N., She, J. S., Taliaferro, M., Gibson, E. & Fedorenko, E. 2024.
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A 3.5-minute-long reading-based fMRI localizer for the language network
Tuckute, G.*, Lee, E. J.*, Sathe, A. & Fedorenko, E. 2024.
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Precision fMRI reveals that the language network exhibits adult-like left-hemispheric lateralization by 4 years of age
Ozernov-Palchik, O.*, O'Brien, A.M.*, Lee, E.J., Richardson, H., Romeo, R., Lipkin, B., Small, H., Capella, J., Nieto-Castañón, A., Saxe, R., Gabrieli, J.D. & Fedorenko, E. 2024.
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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, 32, 243-280. DOI: 10.3758/s13423-024-02556-7. PMID: 39231896. PMC11836185.
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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A tripartite structure of pragmatic language abilities: comprehension of social conventions, intonation processing, and causal reasoning
Floyd, S.*, Jouravlev, O.*, Mineroff, Z., Gibson, E.^ & Fedorenko, E.^ 2023.
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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, 8(10), 1924-1942. DOI: 10.1038/s41562-024-01944-2. PMID: 39187713.
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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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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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Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language
Hosseini, E., & Fedorenko, E. 2023. Advances in Neural Information Processing Systems, 36, 43918–43930. DOI: 10.48550/arXiv.2311.04930.
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WhisBERT: Multimodal text-audio language modeling on 100M words
Wolf, L., Tuckute, G., Kotar, K., Hosseini, E., Regev, T., Wilcox, E., & Warstadt, A. 2023. Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, 2 (BabyLM Challenge), 253-258. DOI: 10.18653/v1/2023.conll-babylm.21.
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Let’s move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision
DiCarlo, J.J., Yamins, D.L., Ferguson, M.E., Fedorenko, E., Bethge, M., Bonnen, T., & Schrimpf, M. 2023. Behavioral and Brain Sciences, 46, e390. DOI: 10.1017/S0140525X23001607. PMID: 38054303.
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Event knowledge in large language models: The gap between the impossible and the unlikely
Kauf, C.*, Ivanova, A. A.*, Rambelli, J., Chersoni, E., She, J. S., Chowdhury, Z., Fedorenko, E. & Lenci, A. 2023. Cognitive Science, 47(11), p.e13386. DOI: 10.1111/cogs.13386. PMID: 38009752.
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The language network is not engaged in object categorization
Benn, Y.*, Ivanova, A. A.*, Clark, O., Mineroff, Z., Seikus, C., Silva, J. S., Varley, R.^ & Fedorenko, E.^ 2023. Cerebral Cortex, 33(19), 10380–10400. 10.1093/cercor/bhad289. PMID: 37557910. PMC10545444.
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Lexical semantic content, not syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language network
Kauf, C.*, Tuckute, G.*, Levy, R., Andreas, J., & Fedorenko E. 2023. Neurobiology of Language, 5(1), 7-42. DOI: 10.1162/nol_a_00116. PMID: 38645614. PMC11025651.
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Non-literal language processing is jointly supported by the language and Theory of Mind networks: Evidence from a novel meta-analytic fMRI approach
Hauptman, M., Blank, I.^, & Fedorenko, E.^ 2023. Cortex, 162, 96-114. DOI: 10.1016/j.cortex.2023.01.013. PMID: 37023480. PMC10210011.
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The human language system, including its inferior frontal component in “Broca’s area”, does not support music perception
Chen, X., Affourtit, J., Ryskin, R., Regev, T. I., Norman-Haignere, S., Jouravlev, O., Malik-Moraleda, S., Kean, H., Varley, R.^ & Fedorenko, E.^ 2023. Cerebral Cortex, 33(12), 7904-7929. DOI: 10.1093/cercor/bhad087. PMID: 37005063. PMC10505454.
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No evidence of theory of mind reasoning in the human language network
Shain, C.*, Paunov, A.*, Chen, X.*, Lipkin, B., & Fedorenko, E. 2023. Cerebral Cortex, 33(10) 6299-6319. DOI: 10.1093/cercor/bhac505. PMID: 36585774. PMC10183748.
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Mahowald Fedorenko (2016) Online Supplement: Large-scale fMRI datasets of functional ‘localizers’ for the language and Multiple Demand networks extend the evidence for reliable individual …
Lipkin, B., Affourtit, J., Small, H., Mineroff, Z., Nieto-Castañón & Fedorenko, E. 2023. DOI: 10.6084/m9.figshare.22183564.
Lipkin et al. (2022) Online Supplement: Probabilistic atlases for the multiple demand (MD) and theory of mind (ToM) networks based on large-scale precision localizers
Lipkin, B., Blank, I. & Fedorenko, E. 2023. DOI: 10.6084/m9.figshare.22306348.
Intact reading ability in spite of a spatially distributed visual word form ‘area’ in an individual born without the left superior temporal lobe
Li, J., Fedorenko, E. & Saygin, Z. 2022. Cognitive Neuropsychology, 39(5-8), 249-275. DOI: 10.1080/02643294.2023.2164923. PMID: 36653302. PMC10213128.
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Causal contributions of the domain-general (multiple demand) and the language-selective brain networks to perceptual and semantic challenges in speech comprehension
MacGregor, L., Gilbert, R., Balewski, Z., Mitchell, D., Erzinclioglu, S., Rodd, J., Duncan, J., Fedorenko, E., Davis, M. 2022. Neurobiology of Language, 3(4), 665-698. DOI: 10.1162/nol_a_00081. PMID: 36742011. PMC9893226.
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Precision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language production
Hu, J.*, Small, H.*, Kean, H., Takahashi, A., Zekelman, L., Kleinman, D., Ryan, E., Nieto-Castañón, A., Ferreira, V. & Fedorenko, E. 2022. Cerebral Cortex, 33(8), 4384-4404. DOI: 10.1093/cercor/bhac350. PMID: 36130104. PMC10110436.
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Probabilistic atlas for the language network based on precision fMRI data from >800 individuals
Lipkin, B., Tuckute, G., Affourtit, J., Small, H., Mineroff, Z., Kean, H., Jouravlev, O., Rakocevic, L., Pritchett, B., Siegelman, M., Hoeflin, C., Pongos, A., Blank, I., Kline, M., Ivanova, A. A., Shannon, S., Sathe, A., Hoffman, M., Nieto-Castañón, A., & Fedorenko, E. 2022. Nature Scientific Data, 9(1), 529. DOI: 10.1038/s41597-022-01645-3. PMID: 36038572. PMC9424256.
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An investigation across 45 languages and 12 language families reveals a universal language network
Malik-Moraleda, S.*, Ayyash, D.*, Gallée, J., Affourtit, J., Hoffmann, M., Mineroff, Z., Jouravlev, O. & Fedorenko, E. 2022. Nature Neuroscience, 25(8), 1014-1019. DOI: 10.1038/s41593-022-01114-5 . PMID: 35856094. PMC10414179.
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Differential tracking of linguistic vs. mental state content in naturalistic stimuli by language and Theory of Mind (ToM) brain networks
Paunov, A., Blank, I., Jouravlev, O., Mineroff, Z., Gallée, J., & Fedorenko, E. 2022. Neurobiology of Language, 3(3), 413-440. DOI: 10.1162/nol_a_00071. PMID: 37216061. PMC10158571.
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Semantic projection recovers rich human knowledge of multiple object features from word embeddings
Grand, G.*, Blank, I.*, Pereira, F.^ & Fedorenko, E.^ 2022. Nature Human Behavior, 6(7), 975-987. DOI: 10.1038/s41562-022-01316-8. PMID: 35422527. PMC10349641.
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Convergent representations of computer programs in human and artificial neural networks
Srikant, S.*, Lipkin, B.*, Ivanova, A. A., Fedorenko, E. & O'Reilly, U. M. 2022. Advances in Neural Information Processing Systems, 35, 18834-18849.
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SentSpace: Large-scale benchmarking and evaluation of text using cognitively motivated lexical, syntactic, and semantic features
Tuckute, G.*, Sathe, A.*, Wang, M., Yoder, H., Shain, C., & Fedorenko, E. 2022. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 99-113. DOI: 10.18653/v1/2022.naacl-demo.11.
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Lipkin et al. (2022) LanA dataset
Lipkin, B. & Fedorenko, E. 2022. DOI: 10.6084/m9.figshare.20425209.v1.
Frontal language areas do not emerge in the absence of temporal language areas: A case study of an individual born without a left temporal lobe
Tuckute, G., Paunov, A., Kean, H., Small, H., Mineroff, Z., Blank, I., & Fedorenko, E. 2022. Neuropsychologia, 169, 108184. DOI: 10.1016/j.neuropsychologia.2022.108184. PMID: 35183561.
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The Natural Stories corpus: A reading-time corpus of English texts containing rare syntactic constructions
Futrell, R., Gibson, E., Tily, H., Blank, I., Vishnevetsky, A., Piantadosi, S., & Fedorenko, E. 2021. Language Resources and Evaluation, 55(1), 63-77. DOI: 10.1007/s10579-020-09503-7. PMID: 34720781. PMC8549930.
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The domain-general multiple demand network is more active in early balanced bilinguals than monolinguals during executive processing
Malik-Moraleda, S., Cucu, T., Lipkin, B. & Fedorenko, E. 2021. Neurobiology of Language, 2(4), 647-664. DOI: 10.1162/nol_a_00058. PMID: 37214622. PMC10158558.
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The neural architecture of language: Integrative modeling converges on predictive processing
Schrimpf, M., Blank, I.*, Tuckute, G.*, Kauf, C.*, Hosseini, E., Kanwisher, N., Tenenbaum, J.^ & Fedorenko, E.^ 2021. PNAS, 118(45), e2105646118. DOI: 10.1073/pnas.2105646118. PMID: 34737231. PMC8694052.
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Similarity of computations across domains does not imply shared implementation: The case of language comprehension
Fedorenko, E. & Shain, C. 2021. Current Directions in Psychological Science, 30(6), 526-534. DOI: 10.1177/09637214211046955. PMID: 35295820. PMC8923525.
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The early origins and the growing popularity of the individual-subject analytic approach in human neuroscience
Fedorenko, E. 2021. Current Opinion in Behavioral Sciences, 40, 105-112. DOI: 10.1016/j.cobeha.2021.02.023.
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Incremental language comprehension difficulty predicts activity in the language network but not the multiple demand network
Wehbe, L., Blank, I. A., Shain, C., Futrell, R., Levy, R., von der Malsburg, T., Smith, N., Gibson, E. & Fedorenko, E. 2021. Cerebral Cortex, 31(9), 4006-4023. DOI: 10.1093/cercor/bhab065. PMID: 33895807. PMC8328211.
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Breakdowns in informativeness of naturalistic speech production in primary progressive aphasia
Gallée, J., Cordella, C., Fedorenko, E., Hochberg, D., Touroutoglou, A., Quimby, A. & Dickerson, B. 2021. Brain Sciences, 11(2), 130. DOI: 10.3390/brainsci11020130. PMID: 33498260. PMC7909266.
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The language network is recruited but not required for non-verbal semantic processing
Ivanova, A. A., Mineroff, Z., Zimmerer, V., Kanwisher, N., Varley, R. & Fedorenko, E. 2021. Neurobiology of Language, 2(2), 176-201. DOI: 10.1162/nol_a_00030. PMID: 37216147. PMC10158592.
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Comprehension of computer code relies primarily on domain-general executive brain regions
Ivanova, A. A., Srikant, S., Sueoka, Y., Kean, H., Dhamala, R., O'Reilly, U. M., Bers M. & Fedorenko, E. 2020. eLife, 9, e58906. DOI: 10.7554/eLife.58906. PMID: 33319744. PMC7738192.
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Reduced language lateralization is a robust marker of the broader autism phenotype
Jouravlev, O., Kell, A., Mineroff, Z., Haskins, AJ, Ayyash, D., Kanwisher, N. & Fedorenko, E. 2020. Autism Research, 13(10), 1746-1761. DOI: 10.1002/aur.2393. PMID: 32935455.
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fMRI reveals language-specific predictive coding during naturalistic sentence comprehension
Shain, C.*, Blank, I.*, Van Shijndel, M., Schuler, W. & Fedorenko, E. 2020. Neuropsychologia, 138, 107307. DOI: 10.1016/j.neuropsychologia.2019.107307. PMID: 31874149. PMC7140726.
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Composition is the core driver of the language-selective network
Mollica, F.*, Siegelman, M.*, Diachek, E., Piantadosi, S., Mineroff, Z., Futrell, R., Kean H., Qian, P. & Fedorenko, E. 2020. Neurobiology of Language, 1(1), 104-134. DOI: 10.1162/nol_a_00005. PMID: 36794007. PMC9923699.
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Gene expression correlates of the cortical network underlying sentence processing
Kong, X., Tzourio-Mazoyer, M., Joliot, M., Fedorenko, E., Liu, J., Fisher, S.E. & Francks, C. 2020. Neurobiology of Language, 1(1), 77-103. DOI: 10.1162/nol_a_00004. PMID: 36794006. PMC9923707.
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Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
Ryskin, R., Levy, R. & Fedorenko, E. 2020. Neuropsychologia, 136, 107258. DOI: 10.1016/j.neuropsychologia.2019.107258. PMID: 31730774.
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Discourse-level comprehension engages medial frontal Theory of Mind brain regions even for expository texts
Jacoby, N. & Fedorenko, E. 2020. Language, Cognition and Neuroscience, 35(6). 780-796. DOI: 10.1080/23273798.2018.1525494. PMID: 32984430. PMC7518647.
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Towards robust functional neuroimaging genetics of cognition
Uddén, J., Hultén, A., Bendtz, K., Mineroff, Z., Kucera, K.S., Vino, A., Fedorenko, E., Hagoort, P. & Fisher, S. 2019. Journal of Neuroscience, 39(44), 8778-8787. DOI: 10.1523/JNEUROSCI.0888-19.2019. PMID: 31570534. PMC6820208.
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Speech-accompanying gestures are not processed by the language processing mechanisms
Jouravlev, O., Zheng, D., Balewski, Z., Pongos, A., Levan, Z., Goldin-Meadow, S. & Fedorenko, E. 2019. Neuropsychologia, 132, 107132. DOI: 10.1016/j.neuropsychologia.2019.107132. PMID: 31276684. PMC6708375.
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An attempt to conceptually replicate the dissociation between syntax and semantics during sentence comprehension
Siegelman, M., Blank, I., Mineroff, Z. & Fedorenko, E. 2019. Neuroscience, 413, 219-229. DOI: 10.1016/j.neuroscience.2019.06.003. PMID: 31200104. PMC6661197.
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The language of programming: A cognitive perspective
Fedorenko, E., Ivanova, A. A., Dhamala, R. & Bers, M. 2019. Trends in Cognitive Sciences, 23(7), 525-528. DOI: 10.1016/j.tics.2019.04.010. PMID: 31153775.
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Functionally distinct language and Theory and Mind networks are synchronized at rest and during language comprehension
Paunov, A., Blank, I. & Fedorenko, E. 2019. Journal of Neurophysiology, 121(4), 1244-1265. DOI: 10.1152/jn.00619.2018. PMID: 30601693. PMC6485726.
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Tracking co-listeners’ knowledge states during language comprehension
Jouravlev, O., Schwarz, R., Ayaash, D., Mineroff, Z., Gibson, E. & Fedorenko, E. 2019. Psychological Science, 30(1), 3-19. DOI: 10.1177/0956797618807674. PMID: 30444681. PMC6344950.
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A robust dissociation among the language, multiple demand, and default mode networks: Evidence from inter-region correlations in effect size
Mineroff, Z.*, Blank, I.*, Mahowald, K. & Fedorenko, E. 2018. Neuropsychologia, 119, 501-511. DOI: 10.1016/j.neuropsychologia.2018.09.011. PMID: 30243926. PMC6191329.
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Remaining puzzles about morpheme production in the posterior temporal lobe
Fedorenko, E., Williams, Z.M. & Ferreira, V.S. 2018. Neuroscience, 392, 160-163. DOI: 10.1016/j.neuroscience.2018.09.032. PMID: 30278250.
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High-level language processing regions are not engaged in action observation or imitation
Pritchett, B., Hoeflin, C., Koldewyn, K., Dechter, E. & Fedorenko, E. 2018. Journal of Neurophysiology, 120(5), 2555-2570. DOI: 10.1152/jn.00222.2018. PMID: 30156457. PMC6295536.
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Deep phenotyping of speech and language skills in 16p11.2 deletion syndrome
Mei, C., Fedorenko, E., Amor, D., Boys, A., Hoeflin, C., Carew, P., Burgess, T., Fisher, S. & Morgan, A. 2018. European Journal of Human Genetics, 26(5), 676-686. DOI: 10.1038/s41431-018-0102-x. PMID: 29445122. PMC5945616.
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Toward a universal decoder of linguistic meaning from brain activation
Pereira, F., Lou, B., Pritchett, B., Ritter, S., Gershman, S.J., Kanwisher, N., Botvinick, M. & Fedorenko, E. 2018. Nature Communications, 9(1), 963. DOI: 10.1038/s41467-018-03068-4. PMID: 29511192. PMC5840373.
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Fluid intelligence is supported by the multiple-demand system not the language system
Woolgar, A., Duncan, J., Manes, F. & Fedorenko, E. 2018. Nature Human Behavior, 2(3), 200-204. DOI: 10.1038/s41562-017-0282-3. PMID: 31620646. PMC6795543.
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Functional characterization of the human speech articulation network
Basilakos, A., Smith, K., Fillmore, P., Fridriksson, J. & Fedorenko, E. 2018. Cerebral Cortex, 28(5), 1816-1830. DOI: 10.1093/cercor/bhx100. PMID: 28453613. PMC5907347.
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Don’t underestimate the benefits of being misunderstood
Gibson, E., Tan, C., Futrell, R., Mahowald, K., Konieczny, L., Hemforth, B. & Fedorenko, E. 2017. Psychological Science, 28(6), 703-712. DOI: 10.1177/0956797617690277. PMID: 28394708.
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