Lab members are noted in bold


Stanojević, M.*, Brennan. J. R.*, Dunagan, D., Steedman, M., & Hale, J. T. (Forthcoming). Modeling structure-building in the brain with CCG parsing and large language models. Preprint [link]
(* denotes co-first authorship)

Dunagan, D., Stanojević, M., Coavoux, M., , Zhang, S., Bhattasali, S., Li, J., Brennan, J. R., & Hale, J (Forthcoming). Long-distance linguistic dependencies in Chinese and English brains. Preprint [link]

Brennan, J. R. (Forthcoming). Syntax (invited chapter for the Oxford Research Encyclopedia for Psychology).

Brennan, J. R., (Forthcoming). Hemodynamic methods (invited chapter for The Oxford Handbook of Experimental Syntax)


Li, J., Bhattasali, S., Zhang, S., Franzluebbers, B., Luh, W., Spreng, R. N., Brennan, J. R., Yang, Y., Pallier, C., & Hale, J. (2022). Le Petit Prince: A multilingual fMRI corpus using ecological stimuli. Scientific Data 9 530. [link

Lo, C.-W., Tung, T.-Y., Ke, H., & Brennan, J. R. (2022). Hierarchy, not lexical regularity, modulates low-frequency neural synchrony during language comprehension. Neurobiology of Language. [link]

Cho, J.-H., & Brennan, J. R. (2022). Word-final orthographic priming as a function of word frequency, prime duration, and morphological status. Proceedings of the Annual Meeting of the Cognitive Science Society. [link]

Brennan, J. R. (2022) Language and the brain: A slim guide to neurolinguistics. Oxford, UK: Oxford University Press. [link]

Hale, J. T., Campenelli, L., Li, J., Bhattasali, S., Pallier, C. & Brennan, J. R. (2022). Neuro-computational models of language processing. Annual Review of Linguistics, 8: 427-446. [link]


Stanojević, M., Bhattasali, S., Dunagan, D., Campanelli, L., Steedman, M., Brennan, J., & Hale, J. (2021). Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar. Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 23–38. [link]

Lo, C.-W. & Brennan, J. R. (2021). EEG correlates of long-distance dependency formation in mandarin wh-questions. Frontiers in Human Neuroscience, 15:23. [link]


Wagley, N., Kovelman, I., Lajiness-O’Neill, R., Hay, J. S. F., Ugolini, M., Bowyer, S. M., & Brennan, J. R. (2020). Predictive processing during a naturalistic statistical learning task in ASD. eNeuro [link]

Brennan, J. R., Kuncoro, A., Dyer, C., & Hale, J. T. (2020) Localizing syntactic predictions using recurrent neural network grammars. Neuropsychologia 146: 1074–1079 [link]

Stehwien, S., Henke, L., Hale, J. T., Brennan, J. R., & Meyer, L. (2020). The Little Prince in 26 Languages: Towards a Multilingual Neuro-Cognitive Corpus. Proceedings of the Workshop on Linguistic and Neurocognitive Resources (LiNCr2020) pp. 43–49

Pylkkänen, L. & Brennan, J. R. (2020). The Neurobiology of Syntactic and Semantic Structure Building In Poeppel, Mangun & Gazzaniga (eds.) The Cognitive Neurosciences, 6th ed.  [preprint]

Bhattasali, S., Brennan, J. R., Luh, W.-M., Franzluebbers, B., & Hale, J. T., (2020).The Alice Datasets: fMRI & EEG Observations of Natural Language Comprehension. Proceedings of Linguistic Resources and Evaluation (LREC) [link

Weissler, R. E. & Brennan, J. R. (2020). How do listeners form grammatical expectations to African American Language?. University of Pennsylvania Working Papers in Linguistics. 25(2) [link]


Brennan, J. R. & Martin, A. E. (2019). Phase synchronization varies systematically with linguistic structure composition. Philosophical Transactions of the Royal Society B 375. [link]

Hale, J. T., Kuncoro, A., Hall, K. B., Dyer, C., & Brennan, J. R., (2019). Text Genre and Training Data Size in Human-Like Parsing. Proceedings of Empirical Methods in Natural Language Processing. [preprint]

Brennan, J. R., & Hale, J. T. (2019). Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoSONE 14(1): e0207741 [linkraw data & stimuli]


Brennan, J. R., Lajiness-O’Neill, R., Bowyer, S., Kovelman, I., & Hale, J. T. (2018). Predictive sentence comprehension during story-listening in Autism Spectrum Disorder. Language, Cognition & Neuroscience, 34(4): 428-439. [link]

Brennan, J. R., (2018). Mapping meanings. Trends in Neurosciences, 41(11): 770-772 [link]

Bhattasali, S., Fabre, M., Luh, W.-M., Al Saied, H., Constant, M., Pallier, C., Brennan, J. R., & Hale, J. T. (2018). Localising memory retrieval and syntactic composition: an fMRI study of naturalistic language comprehension. Language, Cognition and Neuroscience, 34(4): 491-510. [link]

Wei, H., Boland, J. E., Brennan, J., Yuan, F., Wang, M., & Zhang, C. (2018). Lexicalized structural priming in second language online sentence comprehension. Second Language Research, 34(3): 395-416 [link]

Hale, J., Dyer, C., Kuncoro, A., & Brennan, J. R. (2018). Finding syntax in human encephalography with beam search. Proceedings of the Association for Computational Linguistics. [link] [raw data & stimuli] 🏆 Best Paper Award

Lajiness-O’Neill, R., Brennan, J., Flores, A., Swick, C., Goodcase, R., Anderson, T., McFarlane, K., Rusiniak, K., Kovelman, I., Wagley, N.Ugolini, M., Richard, A. E. Albright, J., Moran, J. E., & Bowyer, S. M. (2018). Patterns of Altered Neural Synchrony in the Default Mode Network in Autism Spectrum Disorder Revealed with Magnetoencephalography (MEG): Relationship to Clinical Symptomatology. Autism Research, 11: 434-449 [link]

Bhattasali, S., Hale, J.T., Pallier, C., Brennan, J.R., Luh, W.-M., & Spreng, R.N. (2018). Differentiating Phrase Structure Parsing and Memory Retrieval in the Brain. Proceedings of the Society for Computation in Linguistics. [link]


Brennan, J. R. & Pylkkänen, L (2017) MEG evidence for incremental sentence composition in the anterior temporal lobe. Cognitive Science, 41(S6): 1515-1531[link]


Li, J., Hale, J. T., Mahar, A.,& Brennan, J. R. (2016). Temporal Lobes as Combinatory Engines for both Form and Meaning. Workshop on Computational Linguistics for Linguistic Complexity (CL4LC), COLING2016. [Proceedings PDF]

Brennan, J., Wagley, N., Kovelman, I., Bowyer, S. M., Richard, A. E., and Lajiness-O’Neill, R., (2016). MEG reveals atypical sensitivity to linguistic sound sequences in Autism Spectrum Disorder. NeuroReport, 27(13): 982-986 [link]

Brennan, J. (2016). Naturalistic sentence comprehension in the brain. Language and Linguistics Compass, 10(7): 299–313 [link]

Brennan, J., Stabler, E. P. Jr., Van Wagenen, S. E., Luh, W.-M., & Hale, J. (2016). Abstract Linguistic Structure Correlates with Temporal Activity during Naturalistic Comprehension. Brain and Language, 157-158: 81-84.  [link] [stimulus & data]

Levinson, L. & Brennan, J. (2016). Silent causativity in verbs: Behavioral and neural correlates. Morphological Metatheory eds. D. Siddiqi and H. Harley, pp. 163-198. John Benjamins [link]


Hale, J. T., Lutz, D., Luh, W.-M., & Brennan, J. (2015). Modeling fMRI time courses with linguistic structure at various grain sizes. Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics, pp. 89–97 [PDF]

Kovelman, I, Wagley, N., Hay, J. S. F., Ugolini, M., Bowyer, S., Lajiness-O’Neill, R., & Brennan, J. (2015) Multi-modal imaging of temporal processing in typical and atypical language development. Annals of the New York Academy of Sciences, 1337: 7–15 [link]

Brennan, J. (2015) Neurolinguistic processing of psychological verbs. in Wright, J. D. (Ed.) International Encyclopedia of Social and Behavioral Sciences, 2nd ed. [link]


VanWagenen, S., Brennan, J., and Stabler, E. P. (2014) Quantifying parsing complexity as a function of grammar complexity. In Stockall, L., and Shutze, C. (Eds.) UCLA Working Papers in Linguistics, no. 18, Connectedness: A Festshrift for Sarah VanWagenen [link]

Brennan, J., Lignos, Constantine, Embick, D. & Roberts, T. P. L. (2014). Spectro-temporal correlates of lexical access during auditory lexical decision. Brain & Language. 133:39–46. [link]