Papers

Preprints (reverse chron.)

Featured
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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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. 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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How to optimize neuroscience data utilization and experiment design for advancing primate visual and linguistic brain models?

Tuckute, G., Finzi, D., Margalit, E., Zylberberg, J., Chung, S., Fyshe, A., Fedorenko, E., Kriegeskorte, N., Yates, J., Grill Spector, K. &  Kar, K. 2024.
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Comparing plausibility estimates in base and instruction-tuned large language models

Kauf, C., Chersoni, E., Lenci, A., Fedorenko, E., & Ivanova, A. 2024.

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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Intrinsically memorable words have unique associations with their meanings

Tuckute, G.*, Mahowald, K.*, Isola, P., Oliva, A., Gibson, E., & Fedorenko, E. 2023.
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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, P., Sams, J., Cardwell, R., Freeman, C. & Fedorenko, E. 2023.
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Functional identification of language-responsive channels in individual participants in MEG investigations

Bruffaerts, R., Pongos, A., Shain, C., Lipkin, B., Siegelman, M., Wens, V., Sjogard, M., Pantazis, D., Blank, I., Goldman, S., De Tiege, X. & Fedorenko, E. 2023.

Expanding the language network: Hippocampal recruitment during high-level linguistic processing

Blank, I., Duff, M., Brown-Schmidt, S. & Fedorenko, E. 2016.

Papers

In press | 2024

Featured
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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High-level language brain regions are sensitive to sub-lexical regularities

Regev, T.I., Kim, HS., Affourtit, J., Chen, X., Schipper, A.E., Bergen, L., Mahowald, K., & Fedorenko, E. 2024. Cerebral Cortex, 34(3), bhae07. DOI: 10.1093/cercor/bhae077. PMID: 38494886. 
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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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Semantic encoding during language comprehension at single-cell resolution

Jamali, M.*, Grannan, B.*, Cai, J., Khanna, A. R., Muñoz, W., Caprara, I., Paulk, A. C., Cash, S. S., Fedorenko, E. & Williams, Z. M. 2024. Nature, 631(8021), 610-616. DOI: 10.1038/s41586-024-07643-2. PMID: 38961302. PMC11254762. 
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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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Distributed sensitivity to syntax and semantics throughout the language network

Shain, C.*, Kean, H.*, Casto, C., Lipkin, B., Affourtit, J., Siegelman, M., Mollica, F.^, & Fedorenko, E.^, 2024. Journal of Cognitive Neuroscience, 36(7), 1427-1471. DOI: 10.1162/jocn_a_02164. PMID: 38683732.
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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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JOSA: Joint surface-based registration and atlas construction of brain geometry and function

Li, J., Tuckute, G., Fedorenko, E., Edlow, B. L., Dalca, A. V. & Fischl, B. 2024. Medical Image Analysis, 98, 103292. DOI: 10.1016/j.media.2024.103292. PMID: 37744470. PMC10516111.
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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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Dissociating language and thought in large language models: A cognitive perspective

Mahowald, K.*, Ivanova, A. A.*, Blank, I. Kanwisher, N., Tenenbaum, J. & Fedorenko E. 2024. Trends in Cognitive Sciences, 28(6), 517-540. DOI: 10.1016/j.tics.2024.01.011.
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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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2023

Featured
Quantifying the redundancy between prosody and text

Wolf, L., Pimentel, T., Fedorenko, E., Cotterell, R., Warstadt, A., Wilcox, E., & Regev, T. 2023. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 9765-9784. DOI: 10.18653/v1/2023.emnlp-main.606.
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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.
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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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Grammatical cues to subjecthood are redundant in a majority of simple clauses across languages

Mahowald, K.*, Diachek, E.*, Gibson, E., Fedorenko, E.^, & Futrell, R.^ 2023. Cognition, 241, 105543. DOI: 10.1016/j.cognition.2023.105543. PMID: 37713956.
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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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A fine-grained comparison of pragmatic language understanding in humans and language models

Hu, J., Floyd, S., Jouravlev, O., Fedorenko, E., & Gibson, E. 2023. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 1 (Long Papers), 4194-4213. DOI: 10.18653/v1/2023.acl-long.230. 
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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.

Agrammatic output in non-fluent, including Broca’s, aphasia as a rational behavior

Fedorenko, E., Ryskin, R., & Gibson, E. 2023. Aphasiology, 37(12), 1981-2000. DOI: 10.1080/02687038.2022.2143233. PMID: 38213953. PMC10782888.
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2022

Featured
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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Interpretability of artificial neural network models in artificial intelligence versus neuroscience

Kar, K., Kornblith, S., & Fedorenko, E. 2022. Nature Machine Intelligence, 4, 1065-1067. DOI: 10.1038/s42256-022-00592-3.
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Beyond linear regression: mapping models in cognitive neuroscience should align with research goals

Ivanova, A. A., Schrimpf, M., Anzellotti, S., Zaslavsky, N., Fedorenko, E. & Isik, L. 2022. Neurons, Behavior, Data Analysis, and Theory. DOI: 10.51628/001c.37507.
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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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Robust effects of working memory demand during naturalistic language comprehension in language-selective cortex

Shain, C., Blank, I., Fedorenko, E., Gibson, E. & Schuler, W. 2022. Journal of Neuroscience, 42(39) 7412-7430. DOI: 10.1523/JNEUROSCI.1894-21.2022. PMID: 36002263. PMC9525168. 
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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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 2021

Featured
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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An ERP index of real-time error correction within a noisy-channel framework of human communication

Ryskin, R., Stearns, L., Bergen, L., Eddy, M., Fedorenko, E. & Gibson, E. 2021. Neuropsychologia, 158, 107855. DOI: 10.1016/j.neuropsychologia.2021.107855. PMID: 33865848.
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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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2020

Featured
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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The small and efficient language network of polyglots and hyperpolyglots

Jouravlev, O., Mineroff, Z., Blank, I. & Fedorenko, E. 2020. Cerebral Cortex, 31(1), 62-76. DOI: 10.1093/cercor/bhaa205. PMID: 32820332. PMC7727365.
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Activity in the fronto-parietal Multiple-Demand network is robustly associated with individual differences in working memory and fluid intelligence

Assem, M., Blank, I., Mineroff, Z., Ademoglu, A. & Fedorenko, E. 2020. Cortex, 131, 1-16. DOI: 10.1016/j.cortex.2020.06.013. PMID: 32777623. PMC7530021.
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Lack of selectivity for syntax relative to word meanings throughout the language network

Fedorenko, E., Blank, I., Siegelman, M. & Mineroff, Z. 2020. Cognition, 203, 104348. DOI: 10.1016/j.cognition.2020.104348. PMID: 32569894. PMC7483589.
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No evidence for differences among language regions in their temporal receptive windows

Blank, I. & Fedorenko, E. 2020. NeuroImage, 219, 116925. DOI: 10.1016/j.neuroimage.2020.116925. PMID: 32407994. PMC9392830.
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The domain-general multiple demand (MD) network does not support core aspects of language comprehension: A large-scale fMRI investigation

Diachek, E.*, Blank, I.*, Siegelman, M.*, Affourtit J. & Fedorenko, E. 2020. Journal of Neuroscience, 40(23), 4536-4550. DOI: 10.1523/JNEUROSCI.2036-19.2020. PMID: 32317387. PMC7275862. 
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Broca’s area is not a natural kind

Fedorenko, E. & Blank, I. 2020. Trends in Cognitive Sciences, 24(4), 270-284. DOI: 10.1016/j.tics.2020.01.001. PMID: 32160565. PMC7211504.
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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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2019

Featured
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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2018

Featured
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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2017

Featured
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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Can neuroimaging help aphasia researchers? Addressing generalizability, idiosyncrasy, and interpretability

Blank, I., Kiran, S. & Fedorenko, E. 2017. Cognitive Neuropsychology, 34(6), 377-393. DOI: 10.1080/02643294.2017.1402756. PMID: 29188746. PMC6157596.
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Domain-general brain regions do not track linguistic input as closely as language-selective regions

Blank, I. & Fedorenko, E. 2017. Journal of Neuroscience, 37(41), 9999-10011. DOI: 10.1523/JNEUROSCI.3642-16.2017. PMID: 28871034. PMC5637122.
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An asymmetrical relationship between verbal and visual thinking: Converging evidence from behavior and fMRI

Amit, E., Hoeflin, C., Hamzah, N. & Fedorenko, E. 2017. NeuroImage, 152, 619-627. DOI: 10.1016/j.neuroimage.2017.03.029. PMID: 28323162. PMC5448978.
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A new fun and robust version of an fMRI localizer for the fronto-temporal language system

Scott, T., Gallée, J. & Fedorenko, E. 2017. Cognitive Neuroscience, 8(3), 167-176. DOI: 10.1080/17588928.2016.1201466. PMID: 27386919.
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Infinitely productive language can arise from chance under communicative pressure

Piantadosi, S. & Fedorenko, E. 2017. Journal of Language Evolution, 2(2), 141-147. DOI: 10.1093/jole/lzw013.
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2016

Featured
A neural correlate of the construction of sentence meaning

Fedorenko, E., Scott, T., Brunner, P., Coon, W.G., Pritchett, B., Schalk, G. & Kanwisher, N. 2016. PNAS, 113(41), E6256-E6262. DOI: 10.1073/pnas.1612132113. PMID: 27671642. PMC5068329.
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Functional network dynamics of the language system

Chai, L., Mattar, M., Blank, I., Fedorenko, E. & Bassett, D. 2016. Cerebral Cortex, 26(11), 4148-4159. DOI: 10.1093/cercor/bhw238. PMID: 27550868. PMC5066829.
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Processing temporal presuppositions: An ERP study

Jouravlev, O., Stearns, L., Bergen, L., Eddy, M., Gibson, E. & Fedorenko, E. 2016. Language, Cognition and Neuroscience, 31(10), 1245-1256. DOI: 10.1080/23273798.2016.1209531.
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Reliable individual-level neural markers of language activity: A necessary precursor for relating neural variability to genetic and behavioral variability

Mahowald, K. & Fedorenko, E. 2016. NeuroImage, 139, 74-93. DOI: 10.1016/j.neuroimage.2016.05.073. PMID: 27261158.
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Language and thought are not the same thing: Evidence from neuroimaging and neurological patients

Fedorenko, E. & Varley, R. 2016. Annals of the NY Academy of Sciences, 1369(1), 132-153. DOI: 10.1111/nyas.13046. PMID: 27096882. PMC4874898.
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Syntactic processing is distributed across the language system

Blank, I., Balewski, Z., Mahowald, K. & Fedorenko, E. 2016 . NeuroImage, 127, 307-323. DOI: 10.1016/j.neuroimage.2015.11.069. PMID: 26666896. PMC4755877.
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A rational inference approach to aphasic language comprehension

Gibson, E., Sandberg, C., Bergen, L., Fedorenko, E. & Kiran, S. 2016. Aphasiology, 30(11), 1341-1360. DOI: 10.1080/02687038.2015.1111994. PMID: 28391038. PMC5485413.
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A highly penetrant form of childhood apraxia of speech due to deletion of 16p11.2

Fedorenko, E.*, Morgan, A.*, Murray, E., Cardinaux, A., Mei, C., Tager-Flusberg, H., Fisher, S. & Kanwisher, N. 2016. European Journal of Human Genetics, 24(2), 302-306. DOI: 10.1038/ejhg.2015.149. PMID: 26763793. PMC4717201.
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2015

Featured
The superior precentral gyrus of the insula does not appear to be functionally specialized for articulation

Fedorenko, E., Fillmore, P., Smith, K., Bonilha, L. & Fridriksson, J. 2015. Journal of Neurophysiology, 113(7), 2376-2382. DOI: 10.1152/jn.00214.2014. PMID: 25632073. PMC4416598.
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A possible functional localizer for identifying brain regions sensitive to sentence-level prosody

Fedorenko, E., Hsieh, P.-J. & Balewski, Z. 2015. Language, Cognition and Neuroscience, 30(1-2) , 120-148. DOI: 10.1080/01690965.2013.861917. PMID: 25642425. PMC4306436.
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2014

Featured
The role of domain-general cognitive control in language comprehension

Fedorenko, E. 2014. Frontiers in Psychology, 5(335). DOI: 10.3389/fpsyg.2014.00335. PMID: 24803909. PMC4009428.
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Reworking the language network

Fedorenko, E. & Thompson-Schill, S.L. 2014. Trends in Cognitive Sciences, 18(3), 120-126. DOI: 10.1016/j.tics.2013.12.006. PMID: 24440115. PMC4091770. 
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A functional dissociation between language and multiple-demand systems revealed in patterns of BOLD signal fluctuations

Blank, I., Kanwisher, N. & Fedorenko, E. 2014. Journal of Neurophysiology, 112(5), 1105-1118. DOI: 10.1152/jn.00884.2013. PMID: 24872535. PMC4122731.
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2013

Featured
Broad domain-generality in focal regions of frontal and parietal cortex

Fedorenko, E., Duncan, J. & Kanwisher, N. 2013. PNAS, 110(41), 16616-16621. DOI: 10.1073/pnas.1315235110. PMID: 24062451. PMC3799302.
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2012

Featured
Sensitivity to musical structure in the human brain

Fedorenko E., McDermott, J., Norman-Haignere, S. & Kanwisher, N. 2012. Journal of Neurophysiology, 108(12), 3289-3300. DOI: 10.1152/jn.00209.2012. PMID: 23019005. PMC3544885.
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Language-selective and domain-general regions lie side by side within Broca’s area

Fedorenko, E., Duncan, J. & Kanwisher, N. 2012. Current Biology, 22(21), 2059-2062. DOI: 10.1016/j.cub.2012.09.011. PMID: 23063434. PMC3494832.
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Subject-specific functional localizers increase sensitivity and functional resolution of multi-subject analyses

Nieto-Castañón, A. & Fedorenko, E. 2012. NeuroImage, 63(3), 1646-1669. DOI: 10.1016/j.neuroimage.2012.06.065. PMID: 22784644. PMC3477490. 
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An algorithmic method for functionally defining regions of interest in the ventral visual pathway

Julian, J., Fedorenko, E., Webster, J. & Kanwisher, N. 2012. NeuroImage, 60(4), 2357-2364. DOI: 10.1016/j.neuroimage.2012.02.055. PMID: 22398396.
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Lexical and syntactic representations in the brain: An fMRI investigation with multi-voxel pattern analyses

Fedorenko, E., Nieto-Castañón, A. & Kanwisher, N. 2012. Neuropsychologia, 50(4), 499-513. DOI: 10.1016/j.neuropsychologia.2011.09.014. PMID: 21945850. PMC3292791.
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Syntactic processing in the human brain: What we know, what we don’t know, and a suggestion for how to proceed

Fedorenko, E., Nieto-Castañón, A. & Kanwisher, N. 2012. Brain and Language, 120(2), 187-207. DOI: 10.1016/j.bandl.2011.01.001. PMID: 21334056. PMC3108014.
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2011

Featured
Functional specificity for high-level linguistic processing in the human brain

Fedorenko, E., Behr, M. & Kanwisher, N. 2011. PNAS, 108(39), 16428-16433. DOI: 10.1073/pnas.1112937108. PMID: 21885736. PMC3182706.
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Language processing in the occipital cortex of congenitally blind adults

Bedny, M., Pascual-Leone, A., Dodell-Feder, D., Fedorenko, E. & Saxe, R. 2011. PNAS, 108(11), 4429-4434. DOI: 10.1073/pnas.1014818108. PMID: 21368161. PMC3060248. 
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Some regions within Broca’s area do respond more strongly to sentences than to linguistically degraded stimuli: A comment on Rogalsky & Hickok (2010)

Fedorenko, E. & Kanwisher, N. 2011. Journal of Cognitive Neuroscience, 23(10), 2632-2635. DOI: 10.1162/jocn_a_00043. 
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Functionally localizing language-sensitive regions in individual subjects with fMRI: A reply to Grodzinsky’s critique of Fedorenko & Kanwisher (2009)

Fedorenko, E. & Kanwisher, N. 2011. Language and Linguistics Compass, 5(2), 78-94. DOI: 10.1111/j.1749-818X.2010.00264.x.
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2010

Featured
A new method for fMRI investigations of language: Defining ROIs functionally in individual subjects

Fedorenko, E., Hsieh, P.-J., Nieto-Castañón, A., Whitfield-Gabrieli, S. & Kanwisher, N. 2010. Journal of Neurophysiology, 104(2), 1177-1194. DOI: 10.1152/jn.00032.2010. PMID: 20410363. PMC2934923.
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2009

Featured
Neuroimaging of language: Why hasn’t a clearer picture emerged?

Fedorenko, E. & Kanwisher, N. 2009. Language and Linguistics Compass, 3, 839-865. DOI: 10.1111/j.1749-818X.2009.00143.x.
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2008

Featured
Language as a cognitive technology: English-speakers match like Pirahã when you don’t let them count

Frank, M., Fedorenko, E. & Gibson, E. 2008. Proceedings of the 30th Annual Meeting of Cognitive Science Society, 30, 439-444.
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Early Linguistic/Psycholinguistic Work

Featured
Syntactic complexity effects in sentence production: A reply to MacDonald et al. (2016)

Scontras, G., Badecker W. & Fedorenko, E. 2017. Cognitive Science, 41(8), 2280-2287. DOI: 10.1111/cogs.12495. PMID: 28397342. 
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Accommodating presuppositions is inappropriate in implausible contexts

Singh, R., Fedorenko, E., Mahowald, K. & Gibson, E. 2016. Cognitive Science, 40(3), 607-634. DOI: 10.1111/cogs.12260. PMID: 26153044.
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Syntactic complexity effects in sentence production

Scontras, G., Badecker, W., Shank, L., Lim, E. & Fedorenko, E. 2015. Cognitive Science, 39(3), 559-583. DOI: 10.1111/cogs.12168. PMID: 25256303.
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Constraints on Donkey pronouns

Grosz, P., Patel-Grosz, P., Fedorenko, E. & Gibson, E. 2015, Journal of Semantics, 32(4), 619-648. DOI: 10.1093/jos/ffu009.
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A pragmatic account of complexity in definite Antecedent-Contained-Deletion relative clauses

Gibson, E., Jacobson, P., Graff, P., Mahowald, K., Fedorenko, E. & Piantadosi, S. 2015. Journal of Semantics, 32(4), 579-618. DOI: 10.1093/jos/ffu006.
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Quantitative methods in syntax / semantics research: A response to Sprouse & Almeida (2013)

Gibson, E., Piantadosi, S. & Fedorenko, E. 2013. Language and Cognitive Processes, 28(3), 229-240. DOI: 10.1080/01690965.2012.704385.
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The need for quantitative methods in syntax and semantics research

Gibson, E. & Fedorenko, E. 2013. Language and Cognitive Processes, 28(1-2), 88-124. DOI: 10.1080/01690965.2010.515080.
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The syntactic complexity of Russian relative clauses

Levy, R., Fedorenko, E. & Gibson, E. 2013. Journal of Memory and Language, 69(4), 461-495. DOI: 10.1016/j.jml.2012.10.005. PMID: 24711687. PMC3975271.
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Evidence for shared cognitive processing of pitch in music and language

Perrachione, T., Fedorenko, E., Vinke, L., Gibson, E. & Dilley, L. 2013. PLoS ONE, 8(8), e73372. DOI: 10.1371/journal.pone.0073372. PMID: 23977386. PMC3744486.
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Direct evidence of memory retrieval as a source of difficulty in long-distance structural dependencies in language

Fedorenko, E., Woodbury, R. & Gibson, E. 2013. Cognitive Science, 37(2), 378-394. DOI: 10.1111/cogs.12021. PMiD: 23362990.
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Info/information theory: Speakers choose shorter words in predictive contexts

Mahowald, K., Fedorenko, E., Piantadosi, S. & Gibson, E. 2013. Cognition, 126(2), 313-318. DOI: 10.1016/j.cognition.2012.09.010. PMID: 23116925.
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The interaction of syntactic and lexical information sources in language processing: The case of the noun-verb ambiguity

Fedorenko, E., Piantadosi, S. & Gibson, E. 2012. Journal of Cognitive Science, 13(3), 249-285. DOI: 10.17791/jcs.2012.13.3.249.
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The processing of extraposed structures in English

Levy, R., Fedorenko, E., Breen, M. & Gibson, E. 2012. Cognition, 122(1), 12-36. DOI: 10.1016/j.cognition.2011.07.012. PMID: 22035959. PMC3857735.
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Verbal interference suppresses exact numerical representation

Frank, M., Fedorenko, E., Lai, P., Saxe, R. & Gibson, E. 2012. Cognitive Psychology, 64(1-2), 74-92. DOI: 10.1016/j.cogpsych.2011.10.004. PMID: 22112644.
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Processing relative clauses in supportive contexts

Fedorenko, E., Piantadosi, S. & Gibson, E. 2012. Cognitive Science, 36(3), 471-497. DOI: 10.1111/j.1551-6709.2011.01217.x. PMID: 22256956.
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Acoustic correlates of information structure

Breen, M., Fedorenko, E., Wagner, M. & Gibson, E. 2010. Language and Cognitive Processes, 25(7/8/9), 1044-1098. DOI: 10.1080/01690965.2010.504378.
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Weak quantitative standards in linguistics research

Gibson, E. & Fedorenko, E. 2010. Trends in Cognitive Sciences, 14(6), 233-234. DOI: 10.1016/j.tics.2010.03.005. PMID: 20363175.
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The time-course of lexical and structural processes in sentence comprehension

Tily, H., Fedorenko, E. & Gibson, E. 2010. Quarterly Journal of Experimental Psychology, 63(5), 910-927. DOI: 10.1080/17470210903114866. PMID: 19746299.
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Adding a third wh-element does not increase the acceptability of object-initial multiple-wh questions

Fedorenko, E. & Gibson, E. 2010. Syntax, 13(3), 183-195. DOI: 10.1111/j.1467-9612.2010.00138.x.
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Structural integration in language and music: Evidence for a shared system

Fedorenko, E., Patel, A., Casasanto, D., Winawer, J. & Gibson, E. 2009. Memory and Cognition, 37(1), 1-9. DOI: 10.3758/MC.37.1.1. PMID: 19103970.
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Number as a cognitive technology: Evidence from Pirahã language and cognition

Frank, M., Everett, D., Fedorenko, E. & Gibson, E. 2008. Cognition, 108(3), 819-824. DOI: 10.1016/j.cognition.2008.04.007. PMID: 18547557.
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The nature of working memory in linguistic, arithmetic and spatial integration processes

Fedorenko, E., Gibson, E. & Rohde, D. 2007. Journal of Memory and Language, 56(2), 246-269. DOI: 10.1016/j.jml.2006.06.007.
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The nature of working memory capacity in sentence comprehension: Evidence against domain-specific resources

Fedorenko, E., Gibson, E. & Rohde, D. 2006. Journal of Memory and Language, 54(4), 541-553. DOI: 10.1016/j.jml.2005.12.006.
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The gender congruency effect and the selection of freestanding and bound morphemes: Evidence from Croatian

Costa, A., Kovacic, D., Fedorenko, E. & Caramazza, A. 2003. Journal of Experimental Psychology: LMC, 29(6), 1270-1282. DOI: 10.1037/0278-7393.29.6.1270. PMID: 14622060.
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