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Synthesis, characterization, DNA interaction, antioxidant and anticancer activity of new ruthenium(II) complexes of thiosemicarbazone/semicarbazone bearing 9,10-phenanthrenequinone.
February 2025
EVELINA (EV) FEDORENKO
evelina9@mit.edu
evlab.mit.edu
43 Vassar St., 46-4127
Cambridge, MA 02478
@ev_fedorenko
@evfedorenko.bsky.social
Brief bio:
Fedorenko is a cognitive neuroscientist who studies the human language system and
its relationship with other systems in the brain. She received her Bachelor’s degree
from Harvard University in 2002, and her Ph.D. from MIT in 2007. She was then
awarded a K99R00 Pathway to Independence Career Development Award from
NIH. In 2014, she joined the faculty at MGH/HMS, and in 2019 she returned to MIT
where she is currently an Associate Professor in the Department of Brain and
Cognitive Sciences and a member of the McGovern Institute for Brain Research.
Fedorenko uses fMRI, intracranial recordings and stimulation, EEG, MEG, and
computational modeling, to study language and cognition in adults and children,
including individuals with developmental and acquired brain disorders, and
individuals with structurally atypical brains but typical-like cognition.
POSITIONS:
CURRENT:
Department of Brain and Cognitive Sciences, MIT (Cambridge, MA)
07/24 – present
01/20 – 06/24
07/19 – 12/19
Associate Professor with tenure
Associate Professor
Assistant Professor
McGovern Institute for Brain Research, MIT (Cambridge, MA)
07/20 – present
07/19 – 06/20
Member
Associate Member
PAST:
MGH / HMS / Athinoula A. Martinos Center for Biomedical Imaging (Charlestown, MA)
01/14 – 01/21
01/14 – 06/19
Research Affiliate, MGH
Assistant Professor, HMS
Department of Brain and Cognitive Sciences / McGovern Institute for Brain Research, MIT (Cambridge, MA)
07/11 – 12/13
Research Scientist
EDUCATION AND TRAINING:
09/07 – 06/11: Postdoctoral Researcher // MIT (Cambridge, MA)
09/02 – 08/07: Ph.D. Cognitive Science // MIT (Cambridge, MA)
09/98 – 06/02: A.B. (Magna Cum Laude) Psychology/Linguistics // Harvard University (Cambridge, MA)
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February 2025
GRANT FUNDING:
CURRENT:
Extramural:
Artificial neural network language models as in silico model organisms for the study of language in
the human brain
Funding agency: NIH, Common Fund (type: Pioneer Award)
Award period: Pending // Role: PI
Characterizing and understanding the reasoning capacities of LLMs
Funding agency: DARPA
Award period: Pending // Role: PI (Co-Is: Jacob Andreas and Antonio Torralba, MIT)
Functional reorganization and recovery of the language and domain-general multiple demand
systems in aphasia
Funding agency: NIH, NIDCD (type: R01)
Award period: Pending // Role: MPI (2nd PI: Swathi Kiran, BU)
fMRI investigations of the language network in awake toddlers and young children
Funding agency: NIH, NICHD (type: R01)
Award period: Pending // Role: PI (Co-I: Rebecca Saxe, MIT)
Computational neuroscience of language processing in the human brain
Funding agency: NIH, NINDS (type: U01; NS121471)
Award period: April 2021 – March 2026 // Role: MPI (2nd PI: Mark Richardson, MGH)
MIT-internal:
At the edge of language and reasoning: Discourse structure processing in humans and LLMs
MIT School of Science, the James W. (1963) And Patricia T. Poitras Fund
Award period: January 2025 – December 2027 // Role: PI
The Language Mission
MIT Quest for Intelligence
Award period: September 2023 – August 2025 // Role: PI (other PI: Jacob Andreas)
Representations of Prosody in Minds, Brains, and Machines
MIT FY22 Research Support Committee
Award period: July 2022 – June 2025 // Role: PI
Cognitive, neural, and computational foundations of conversation (a multi-PI project)
Funding agency: The Simons Foundation via the Simons Center for the Social Brain at MIT
Dates: April 2022 – March 2025 // Role: Lead PI
COMPLETED (select):
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Functional reorganization of the language and domain-general multiple demand systems in aphasia
Funding agency: NIH, NIDCD (type: R01, DC016950)
Award period: April 2019 – March 2024 // Role: MPI (2nd PI: Swathi Kiran, BU)
The neural architecture of pragmatic processing
Funding agency: NIH, NIDCD (type: R01, DC016607)
Award period: May 2018 – April 2023, NCE until April 2024 // Role: PI
2
February 2025
•
Deriving meaning from natural language in minds and machines
MIT Quest Pilot Award
Award period: June 2021 – May 2022 // Role: Co-PI (PI: Jacob Andreas)
The neural architecture of pragmatic processing – Administrative Supplement to Support
Enhancement of Software Tools for Open Science
Funding agency: NIH, NIDCD (type: R01-Supplement, DC016607)
Award period: September 2021 – April 2022 // Role: PI
Language in the Mosaic of Social Cognition
Paul and Lilah Newton Brain Science Award
Award period: September 2020 – August 2021 // Role: PI
The neural architecture of pragmatic processing – Research Supplement to Promote Diversity in
Health-Related Research
Funding agency: NIH, NIDCD (type: R01-Supplement, DC016607)
Award period: November 2018 – April 2020 // Role: PI
EAGER: The cognitive and neural mechanisms of computer programming in young children:
storytelling or solving puzzles?
Funding agency: NSF (type: EAGER, 1744809)
Award period: August 2017 – July 2019 // Role: Co-PI (PI: Marina Bers, Tufts University)
The nature of the pragmatic impairment in autism spectrum disorders
Funding agency: The Simons Foundation via the Simons Center for the Social Brain at MIT
Dates: April 2015 – March 2018 // Role: Lead PI
fMRI investigations of the functional architecture of the language system
Funding agency: NIH, NICHD (type: Pathway to Independence K99R00 award)
Award period: K99: July 2009 – June 2011; R00: February 2014 – September 2017 // Role: PI
A Modern Approach to Compositional Knowledge Employment and Representation, Enhanced by
Learning
Funding agency: IARPA
Award period: September 2013 – April 2017 // Role: Co-PI (PI: Francisco Pereira)
Neural correlates of mental time travel: Evaluating the distinct modalities of prospection hypothesis
Funding agency: The John Templeton Foundation
Award period: October 2014 – August 2016 // Role: PI
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SELECT AWARDS AND FELLOWSHIPS:
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The Troland Research Award from the NAS (2025)
BCS Award for Excellence in Undergraduate Teaching (2023)
International Chair LabEx Université Paris Cité (Fall 2022)
BCS Award to an Outstanding Postdoctoral Mentor (2022)
BCS Award for Excellence in Undergraduate Advising (2021)
Paul and Lilah Newton Brain Science Award (2020-2021)
Frederick A. (1971) and Carole J. Middleton Career Development Chair (2020-2023)
Mercator Fellow at University of Potsdam (2018-2020)
U.S. Kavli Fellow (2014, 2015)
Pathway to Independence Career Development Award from NIH (2009-2011; 2014-2017)
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February 2025
JOURNAL PUBLICATIONS (in reverse chronological order):
Summary:
Google Scholar statistics as of February 11, 2025: total: 17,582; h-index: 67; i10-index: 136
Profile link: https://scholar.google.com/citations?user=1CgET20AAAAJ&hl=en
My main line of work – investigations of the cognitive, neural, and genetic architecture of language and
the relationship between language and other cognitive systems:
(key review/position papers are marked with !!’s)
Published / in press papers (see below for a list of preprints):
107. Tuckute, G.*, Mahowald, K.*, Isola, P., Oliva, A., Gibson, E. & Fedorenko, E. (in press). Intrinsically
memorable words have unique associations with their meanings. JEP:General.
DOI: TBD
106. 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. (in press). Constructed languages are
processed by the same brain mechanisms as natural languages. PNAS.
DOI: TBD
105. Tuckute, G. & Fedorenko, E. (2025). An abstract linguistic space for transmitting information from one
mind to another. Neuron, 112(18), 2996-2998.
DOI: 10.1016/j.neuron.2024.09.005; PMID: 39326388
104. Tuckute, G., Finzi, D., Margalit, E., Yates, J., Zylberberg, J., Fyshe, A., Chung, S., Fedorenko, E.,
Kriegeskorte, N., Spector, K.G. and Kar, K. (2025). How to optimize neuroscience data utilization and
experiment design for advancing brain models of visual and linguistic cognition? Neurons, Behavior, Data
analysis, and Theory.
DOI: 10.51628/001c.127807
103. Li, J., Tuckute, G., Fedorenko, E., Edlow, B. L., Dalca, A. V. & Fischl, B. (2024). JOSA: Joint surfacebased registration and atlas construction of brain geometry and function. Medical Image Analysis, 103292.
DOI: 10.1016/j.media.2024.103292; PMID: 39173411
102. Reilly, J. et al. (2024). What we mean when we say semantic: Toward a multidisciplinary semantic
glossary. Psychonomic Bulletin & Review.
DOI: 10.3758/s13423-024-02556-7; PMID: 39231896
101. 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). Semantic encoding during language comprehension at single-cell
resolution. Nature, 631(8021), 610-616.
DOI: 10.1038/s41586-024-07643-2; PMID: 38961302; PMCID: PMC11254762
!! 100. Tuckute, G., Kanwisher, N. & Fedorenko, E. (2024). Language in minds, brains, and machines. Annual
Reviews of Neuroscience, 47(1), 277-301.
DOI: 10.1146/annurev-neuro-120623-101142; PMID: 38669478
!! 99. Fedorenko, E., Piantadosi, S. & Gibson, E. (2024). Language is primarily a tool for communication rather
than thought. Nature, 630(8017), 575-586.
DOI: 10.1038/s41586-024-07522-w; PMID: 38898296
98. Regev, T. I.*, Lipkin, B.*, Boebinger, D. L., Paunov, A. M., Kean, H., Norman-Haignere, S. V., &
Fedorenko, E. (2024). Preserved functional organization of auditory cortex in two individuals missing one
temporal lobe from infancy. iScience, 27(9), 110548.
DOI: 10.1016/j.isci.2024.110548; PMID: 39262782; PMCID: PMC11387894
97. Regev, T. I.*, Casto, C.*, Hosseini, E., Adamek, M., Ritaccio, A. L., Willie, J. T., Brunner, P., &
Fedorenko, E. (2024). Neural populations in the language network differ in the size of their temporal
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February 2025
receptive windows. Nature Human Behavior, 8(10), 1924-1942.
DOI: 10.1038/s41562-024-01944-2; PMID: 39187713
96. Shain, C.*, Kean, H.*, Lipkin, B., Affourtit, J., Siegelman, M., Mollica, F.^ & Fedorenko, E.^ (2024).
Distributed sensitivity to syntax and semantics throughout the language network. Journal of Cognitive
Neuroscience, 36(7), 1427-1471.
DOI: 10.1162/jocn_a_02164; PMID: 38683732
95. Regev, T. I., Kim, H. S., Affourtit, J., Chen, X., Schipper, A. E., Bergen, L., Mahowald, K., & Fedorenko,
E. (2024). High-level language brain regions process sublexical regularities. Cerebral Cortex, 34(3),
bhae077.
DOI: 10.1093/cercor/bhae077; PMID: 38494886
!! 94. Mahowald, K.*, Ivanova, A.*, Blank, I. Kanwisher, N., Tenenbaum, J. & Fedorenko E. (2024).
Dissociating language and thought in large language models. Trends in Cognitive Sciences, 28(6), 517-540.
DOI: 10.1016/j.tics.2024.01.011; PMID: 38508911
93. Malik-Moraleda, S.*, Jouravlev. O.*, Mineroff, Z., Cucu, T., Taliaferro, M., Mahowald, K., Blank, I. &
Fedorenko. E. (2024). Functional characterization of the language network of polyglots and
hyperpolyglots with precision fMRI. Cerebral Cortex, 34(3), bhae049.
DOI: 10.1093/cercor/bhae049; PMID: 36711949; PMCID: PMC9882290
!! 92. Fedorenko E., Ivanova, A. A. & Regev, T. I. (2024). The language network as a natural kind in the
broader landscape of the human brain. Nature Reviews Neuroscience, 25, 289-312.
DOI: 10.1038/s41583-024-00802-4; PMID: 38609551
91. Sueoka, Y.*, Paunov, A.*, Blank, I., Tanner, A., Ivanova, A.^, Fedorenko, E.^ (2024). The language
network reliably 'tracks' naturalistic meaningful non-verbal stimuli. Neurobiology of Language, 5(2), 385408.
DOI: 10.1162/nol_a_00135; PMID: 38911462; PMCID: PMC11192443
90. Hosseini, E., Schrimpf, M., Zhang, Y., Bowman, S., Zaslavsky, N., & Fedorenko, E. (2024). Artificial
neural network language models predict human brain responses to language even after a developmentally
realistic amount of training. Neurobiology of Language, 5(1), 43-63.
DOI: 10.1162/nol_a_00137; PMID: 38645622; PMCID: PMC11025646
89. Tuckute, G., Sathe, A., Srikant, S., Taliaferro, M., Wang, M., Schrimpf, M., Kay, K., & Fedorenko, E.
(2024). Driving and suppressing the human language network using large language models. Nature Human
Behavior, 8, 544-561.
DOI: 10.1038/s41562-023-01783-7; PMID: 38172630
88. Kauf, C.*, Ivanova, A. A.*, Rambelli, J., Chersoni, E., She, J. S., Chowdhury, Z., Fedorenko, E. & Lenci, A.
(2023). Event knowledge in large language models: The gap between the impossible and the unlikely.
Cognitive Science, 47(11), e13386.
DOI: 10.1111/cogs.13386; PMID: 38009752
87. Benn, Y.*, Ivanova, A. A.*, Clark, O., Mineroff, Z., Seikus, C., Silva, J. S., Varley, R.^ & Fedorenko, E.^
(2023). The language network is not engaged in object categorization. Cerebral Cortex, 33(19), 10380–
10400.
DOI: 10.1093/cercor/bhad289; PMID: 37557910; PMCID: PMC10545444
86. Mahowald, K.*, Diachek, E.*, Gibson, E., Fedorenko, E.^, & Futrell, R.^ (2023). Grammatical cues to
subjecthood are redundant in a majority of simple clauses across languages. Cognition, 241, 105543.
DOI: 10.1016/j.cognition.2023.105543; PMID: 37713956
85. Kauf, C.*, Tuckute, G.*, Levy, R., Andreas, J., & Fedorenko E. (2023). Lexical semantic content, not
syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language
network. Neurobiology of Language, 5(1), 7-42.
DOI: 10.1162/nol_a_00116; PMID: 38645614; PMCID: PMC11025651
84. Hauptman, M., Blank, I.^, & Fedorenko, E.^ (2023). Non-literal language processing is jointly supported
by the language and Theory of Mind networks: Evidence from a novel meta-analytic fMRI approach.
Cortex, 162, 96-114.
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February 2025
DOI: 10.1016/j.cortex.2023.01.013; PMID: 37023480; PMCID: PMC10210011
83. Chen, X., Affourtit, J., Ryskin, R., Regev, T. I., Norman-Haignere, S., Jouravlev, O., Malik-Moraleda, S.,
Kean, H., Varley, R.^ & Fedorenko, E.^ (2023). The human language system, including its inferior frontal
component in “Broca’s area”, does not support music perception. Cerebral Cortex, 33(12), 7904-7929.
DOI: 10.1093/cercor/bhad087; PMID: 37005063; PMCID: PMC10505454
82. Shain, C.*, Paunov, A.*, Chen, X.*, Lipkin, B., & Fedorenko, E. (2023). No evidence of theory of mind
reasoning in the human language network. Cerebral Cortex, 33(10), 6299-6319.
DOI: 10.1093/cercor/bhac505; PMID: 36585774; PMCID: PMC10183748
81. Li, J., Fedorenko, E. & Saygin, Z. (2022). Intact reading ability in spite of a spatially distributed visual word
form ‘area’ in an individual born without the left superior temporal lobe. Cognitive Neuropsychology, 39(58), 249-275.
DOI: 10.1080/02643294.2023.2164923; PMID: 36653302; PMCID: PMC10213128
80. Kar, K., Kornblith, S., & Fedorenko, E. (2022). Interpretability of artificial neural network models in
artificial intelligence versus neuroscience. Nature Machine Intelligence, 4, 1065-1067.
DOI: 10.1038/s42256-022-00592-3
79. Ivanova, A. A., Schrimpf, M., Anzellotti, S., Zaslavsky, N., Fedorenko, E. & Isik, L. (2022). Beyond linear
regression: mapping: models in cognitive neuroscience should align with research goals. Neurons,
behavior, data analysis and theory.
DOI: 10.51628/001c.37507
78. Fedorenko, E., Ryskin, R., & Gibson, E. (2022). Agrammatic output in non-fluent, including Broca's,
aphasia as a rational behavior. Aphasiology, 37(12), 1981-2000.
DOI: 10.1080/02687038.2022.2143233; PMID: 38213953; PMCID: PMC10782888
77. MacGregor, L., Gilbert, R., Balewski, Z., Mitchell, D., Erzinclioglu, S., Rodd, J., Duncan, J., Fedorenko, E.,
Davis, M. (2022). Causal contributions of the domain-general (Multiple Demand) and the languageselective brain networks to perceptual and semantic challenges in speech comprehension. Neurobiology of
Language, 3(4), 665-698.
DOI: 10.1162/nol_a_00081; PMID: 36742011; PMCID: PMC9893226
76. Hu, J.*, Small, H.*, Kean, H., Takahashi, A., Zekelman, L., Kleinman, D., Ryan, E., Nieto-Castañón, A.,
Ferreira, V. & Fedorenko, E. (2022). Precision fMRI reveals that the language-selective network supports
both phrase-structure building and lexical access during language production. Cerebral Cortex, 33(8),
4384-4404.
DOI: 10.1093/cercor/bhac350; PMID: 36130104; PMCID: PMC10110436
75. Shain, C., Blank, I., Fedorenko, E., Gibson, E. & Schuler, W. (2022). Robust effects of working memory
demand during naturalistic language comprehension in language-selective cortex. Journal of Neuroscience,
42(39), 7412-7430.
DOI: 10.1523/JNEUROSCI.1894-21.2022; PMID: 36002263; PMCID: PMC9525168
74. 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., Shannon, S., Sathe,
A., Hoffman, M., Nieto-Castañón, A., & Fedorenko, E. (2022). LanA (Language Atlas): A probabilistic
atlas for the language network based on fMRI data from >800 individuals. Nature Scientific Data, 9, 529.
DOI: 10.1038/s41597-022-01645-3; PMID: 36038572; PMCID: PMC9424256
73. Malik-Moraleda, S.*, Ayyash, D.*, Gallée, J., Affourtit, J., Hoffmann, M., Mineroff, Z., Jouravlev, O. &
Fedorenko, E. (2022). An investigation across 45 languages and 12 language families reveals a universal
language network. Nature Neuroscience, 25, 1014-1019.
DOI: 10.1038/s41593-022-01114-5; PMID: 35856094; PMCID: PMC10414179
72. Paunov, A. M., Blank, I. A., Jouravlev, O., Mineroff, Z., Gallée, J., & Fedorenko, E. (2022). Differential
tracking of linguistic vs. mental state content in naturalistic stimuli by language and Theory of Mind (ToM)
brain networks. Neurobiology of Language, 3(3), 413-440.
DOI: 10.1162/nol_a_00071; PMID: 37216061; PMCID: PMC10158571
71. Jamali, M., Grannan, B. L., Fedorenko, E., Saxe, R., Báez-Mendoza, R., & Williams, Z. M. (2021). Single-
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February 2025
neuronal predictions of others’ beliefs in humans. Nature, 591(7851), 610-614.
DOI: 10.1038/s41586-021-03184-0; PMID: 33505022; PMCID: PMC7990696
70. Tuckute, G., Paunov, A., Kean, H., Small, H., Mineroff, Z., Blank, I., & Fedorenko, E. (2021). 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. Neuropsychologia, 108184.
DOI: 10.106/j.neuropsychologia.2022.108184; PMID: 35183561
69. Grand, G.*, Blank, I.*, Pereira, F.^ & Fedorenko, E.^ (2022). Semantic projection recovers rich human
knowledge of multiple object features from word embeddings. Nature Human Behavior, 6, 975-987.
DOI: 10.1038/s41562-022-01316-8; PMID: 35422527; PMCID: PMC10349641
68. Malik-Moraleda, S., Cucu, T., Lipkin, B. & Fedorenko, E. (2021). The domain-general Multiple Demand
network is more active in early balanced bilinguals than monolinguals during executive processing.
Neurobiology of Language, 2(4), 647-664.
DOI: 10.1162/_nol_a_00058; PMID: 37214622; PMCID: PMC10158558
67. Schrimpf, M., Blank, I.*, Tuckute, G.*, Kauf, C.*, Hosseini, E., Kanwisher, N., Tenenbaum, J.^ &
Fedorenko, E.^ (2021). The neural architecture of language: Integrative modeling converges on predictive
processing. PNAS, 118(45), e2105646118.
DOI: 10.1073/pnas.2105646118; PMID: 34737231; PMCID: PMC8694052
!! 66. Fedorenko, E. & Shain, C. (2021). Similarity of computations across domains does not imply shared
implementation: The case of language comprehension. Current Directions in Psychological Science, 30(6),
526-534.
DOI: 10.1177/09637214211046955; PMID: 35295820; PMCID: PMC8923525
65. Ryskin, R., Stearns, L., Bergen, L., Eddy, M., Fedorenko, E. & Gibson, E. (2021). An ERP index of realtime error correction within a noisy-channel framework of human communication. Neuropsychologia, 158,
107855.
DOI: 10.1016/j.neuropsychologia.2021.107855; PMID: 33865848
64. Fedorenko, E. (2021). The early origins and the growing popularity of the individual-subject analytic
approach in human neuroscience. Current Opinion in Behavioral Sciences, 40, 105-112.
DOI: 10.1016/j.cobeha.2021.02.023
63. Wehbe, L., Blank, I. A., Shain, C., Futrell, R., Levy, R., von der Malsburg, T., Smith, N., Gibson, E. &
Fedorenko, E. (2021). Incremental language comprehension difficulty predicts activity in the language
network but not the multiple demand network. Cerebral Cortex, 31(9), 4006-4023.
DOI: 10.1093/cercor/bhab065; PMID: 33895807; PMCID: PMC8328211
62. Futrell, R., Gibson, E., Tily, H., Blank, I., Vishnevetsky, A., Piantadosi, S., & Fedorenko, E. (2021). The
Natural Stories Corpus: A reading-time corpus of English texts containing rare syntactic constructions.
Language Resources and Evaluation, 55(1), 63-77.
DOI: 10.1007/s10579-020-09503-7; PMID: 34720781; PMCID: PMC8549930
61. Gallée, J., Cordella, C., Fedorenko, E., Hochberg, D., Touroutoglou, A., Quimby, A. & Dickerson, B.
(2021). Breakdowns in informativeness of naturalistic speech production in primary progressive
aphasia. Brain Sciences, 11(2), 130.
DOI: 10.3390/brainsci11020130; PMID: 33498260; PMCID: PMC7909266
60. Ivanova, A., Mineroff, Z., Zimmerer, V., Kanwisher, N., Varley, R. & Fedorenko, E. (2021). The language
network is recruited but not required for non-verbal event semantics. Neurobiology of Language, 2(2), 176201.
DOI: doi.org/10.1162/nol_a_00030; PMID: 37216147; PMCID: PMC10158592
59. Ivanova, A., Srikant, S., Sueoka, Y., Kean, H., Dhamala, R., O'Reilly, U. M., Bers M. & Fedorenko, E.
(2020). Comprehension of computer code relies primarily on domain-general executive brain regions.
eLife, 9, e58906.
DOI: 10.7554/eLife.58906; PMID: 33319744; PMCID: PMC7738192
58. Jouravlev, O., Kell, A., Mineroff, Z., Haskins, AJ, Ayyash, D., Kanwisher, N. & Fedorenko, E. (2020).
Reduced language lateralization is a robust marker of the broader autism phenotype. Autism Research,
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13(10), 1746-1761.
DOI: 10.1002/aur.2393; PMID: 32935455
57. Jouravlev, O., Mineroff, Z., Blank, I. & Fedorenko, E. (2020). The small and efficient language network of
polyglots and hyperpolyglots. Cerebral Cortex, 31(1), 62-76.
DOI: 10.1093/cercor/bhaa205; PMID: 32820332; PMCID: PMC7727365
56. Assem, M., Blank, I., Mineroff, Z., Ademoglu, A. & Fedorenko, E. (2020). Activity in the fronto-parietal
Multiple-Demand network is robustly associated with individual differences in working memory and fluid
intelligence. Cortex, 131, 1-16.
DOI: 10.1016/j.cortex.2020.06.013; PMID: 32777623; PMCID: PMC7530021
55. Fedorenko, E., Blank, I., Siegelman, M. & Mineroff, Z. (2020). Lack of selectivity for syntax relative to
word meanings throughout the language network. Cognition, 203, 104348.
DOI: 10.1016/j.cognition.2020.104348; PMID: 32569894; PMCID: PMC7483589
54. Blank, I. & Fedorenko, E. (2020). No evidence for differences among language regions in their temporal
receptive windows. NeuroImage, 219, 116925.
DOI: 10.1016/j.neuroimage.2020.116925; PMID: 32407994; PMCID: PMC9392830
53. Diachek, E.*, Blank, I.*, Siegelman, M.*, Affourtit J. & Fedorenko, E. (2020). The domain-general
multiple demand (MD) network does not support core aspects of language comprehension: a large-scale
fMRI investigation. Journal of Neuroscience, 40(23), 4536-4550.
DOI: 10.1523/JNEUROSCI.2036-19.2020; PMID: 32317387; PMCID: PMC7275862
!! 52. Fedorenko, E. & Blank, I. (2020). Broca’s area is not a natural kind. Trends in Cognitive Sciences, 24(4),
270-284.
DOI: 10.1016/j.tics.2020.01.001; PMID: 32160565; PMCID: PMC7211504
51. Shain, C.*, Blank, I.*, Van Shijndel, M., Schuler, W. & Fedorenko, E. (2020). fMRI reveals languagespecific predictive coding during naturalistic sentence comprehension. Neuropsychologia, 138, 107307.
DOI: 10.1016/j.neuropsychologia.2019.107307; PMID: 31874149; PMCID: PMC7140726
50. Mollica, F.*, Siegelman, M.*, Diachek, E., Piantadosi, S., Mineroff, Z., Futrell, R., Kean H., Qian, P. &
Fedorenko, E. (2020). Composition is the core driver of the language-selective network. Neurobiology of
Language, 1(1), 104-134.
DOI: 10.1162/nol_a_00005; PMID: 36794007; PMCID: PMC9923699
49. Kong, X., Tzourio-Mazoyer, M., Joliot, M., Fedorenko, E., Liu, J., Fisher, S.E. & Francks, C. (2020). Gene
expression correlates of the cortical network underlying sentence processing. Neurobiology of Language,
1(1), 77-103.
DOI: 10.1162/nol_a_00004; PMID: 36794006; PMCID: PMC9923707
48. Ryskin, R., Levy, R & Fedorenko, E. (2020). Do domain-general executive resources play a role in
linguistic prediction? Re-evaluation of the evidence and a path forward. Neuropsychologia, 136, 107258.
DOI: 10.1016/j.neuropsychologia.2019.107258; PMID: 31730774
47. Uddén, J., Hultén, A., Bendtz, K., Mineroff, Z., Kucera, K.S., Vino, A., Fedorenko, E., Hagoort, P. & Fisher,
S. (2019). Towards robust functional neuroimaging genetics of cognition. Journal of Neuroscience, 39(44),
8778-8787.
DOI: 10.1523/JNEUROSCI.0888-19.2019; PMID: 31570534; PMCID: PMC6820208
46. Jouravlev, O., Zheng, D., Balewski, Z., Pongos, A., Levan, Z., Goldin-Meadow, S. & Fedorenko, E. (2019).
Speech-accompanying gestures are not processed by the language processing mechanisms.
Neuropsychologia, 132, 107132.
DOI: 10.1016/j.neuropsychologia.2019.107132; PMID: 31276684; PMCID: PMC6708375
45. Siegelman, M., Blank, I., Mineroff, Z. & Fedorenko, E. (2019). An attempt to conceptually replicate the
dissociation between syntax and semantics during sentence comprehension. Neuroscience, 413, 219-229.
DOI: 10.1016/j.neuroscience.2019.06.003; PMID: 31200104; PMCID: PMC6661197
44. Fedorenko, E., Ivanova, A., Dhamala, R. & Bers, M. (2019). The language of programming: A cognitive
perspective. Trends in Cognitive Sciences, 23(7), 525-528.
DOI: 10.1016/j.tics.2019.04.010; PMID: 31153775
8
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43. Paunov, A., Blank, I. & Fedorenko, E. (2019). Functionally distinct language and Theory and Mind
networks are synchronized at rest and during language comprehension. Journal of Neurophysiology,
121(4), 1244-1265.
DOI: 10.1152/jn.00619.2018; PMID: 30601693; PMCID: PMC6485726
42. Mineroff, Z.*, Blank, I.*, Mahowald, K. & Fedorenko, E. (2018). A robust dissociation among the
language, multiple demand, and default mode networks: evidence from inter-region correlations in effect
size. Neuropsychologia, 119, 501-511.
DOI: 10.1016/j.neuropsychologia.2018.09.011; PMID: 30243926; PMCID: PMC6191329
41. Fedorenko, E., Williams, Z.M. & Ferreira, V.S. (2018). Remaining puzzles about morpheme production in
the posterior temporal lobe. Neuroscience, 392, 160-163.
DOI: 10.1016/j.neuroscience.2018.09.032; PMID: 30278250
40. Jacoby, N. & Fedorenko, E. (2018; came out in 2020). Discourse-level comprehension engages medial
frontal Theory of Mind brain regions even for expository texts. Language, Cognition and Neuroscience,
35(6), 780-796.
DOI: 10.1080/23273798.2018.1525494; PMID: 32984430; PMCID: PMC7518647
39. Pritchett, B., Hoeflin, C., Koldewyn, K., Dechter, E. & Fedorenko, E. (2018). High-level language
processing regions are not engaged in action observation or imitation. Journal of Neurophysiology, 120(5),
2555-2570.
DOI: 10.1152/jn.00222.2018; PMID: 30156457; PMCID: PMC6295536
38. Jouravlev, O., Schwarz, R., Ayaash, D., Mineroff, Z., Gibson, E. & Fedorenko, E. (2019). Tracking colisteners’ knowledge states during language comprehension. Psychological Science, 30(1), 3-19.
DOI: 10.1177/0956797618807674; PMID: 30444681; PMCID: PMC6344950
37. Mei, C., Fedorenko, E., Amor, D., Boys, A., Hoeflin, C., Carew, P., Burgess, T., Fisher, S. & Morgan, A.
(2018). Deep phenotyping of speech and language skills in 16p11.2 deletion syndrome. EJHG, 26(5), 676686.
DOI: 10.1038/s41431-018-0102-x; PMID: 29445122; PMCID: PMC5945616
36. Lee, D.K.*, Fedorenko, E.*, Simon, M.V., Curry, W.T., Nahed, B.V., Cahill, D.P. & Williams, Z.M.
(2018). Neural encoding and production of functional morphemes in the posterior temporal lobe. Nature
Communications, 9(1), 1877.
DOI: 10.1038/s41467-018-04235-3; PMID: 29760465 PMCID: PMC5951905
35. Pereira, F., Lou, B., Pritchett, B., Ritter, S., Gershman, S.J., Kanwisher, N., Botvinick, M. & Fedorenko, E.
(2018). Toward a universal decoder of linguistic meaning from brain activation. Nature Communications,
9, 963.
DOI:10.1038/s41467-018-03068-4; PMID: 29511192; PMCID: PMC5840373
34. Woolgar, A., Duncan, J., Manes, F. & Fedorenko, E. (2018). The multiple-demand, but not language,
system supports fluid intelligence. Nature Human Behavior, 2, 200-204.
DOI:10.1038/s41562-017-0282-3; PMID: 31620646; PMCID: PMC6795543
33. Blank, I., Kiran, S. & Fedorenko, E. (2017). Can neuroimaging help aphasia researchers? Addressing
generalizability, idiosyncrasy, and interpretability. Cognitive Neuropsychology, 34(6), 377-393.
DOI: 10.1080/02643294.2017.1402756; PMID: 29188746; PMCID: PMC6157596
32. Blank, I. & Fedorenko, E. (2017). Domain-general brain regions do not track linguistic input as closely as
language-selective regions. Journal of Neuroscience, 37(41), 9999-10011.
DOI: 10.1523/JNEUROSCI.3642-16.2017; PMID: 28871034; PMCID: PMC5637122
31. Basilakos, A., Smith, K., Fillmore, P., Fridriksson, J. & Fedorenko, E. (2017). Functional characterization
of the human speech articulation network. Cerebral Cortex, 28(5), 1816-1830.
DOI: 10.1093/cercor/bhx100; PMID: 28453613; PMCID: PMC5907347
30. Gibson, E., Tan, C., Futrell, R., Mahowald, K., Konieczny, L., Hemforth, B. & Fedorenko, E. (2017). Don’t
underestimate the benefits of being misunderstood. Psychological Science, 28(6), 703-712.
DOI: 10.1177/0956797617690277; PMID: 28394708
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29. Amit, E., Hoeflin, C., Hamzah, N. & Fedorenko, E. (2017). An asymmetrical relationship between verbal
and visual thinking: converging evidence from behavior and fMRI. NeuroImage, 152, 619-627.
DOI: 10.1016/j.neuroimage.2017.03.029; PMID: 28323162; PMCID: PMC5448978
28. Scott, T., Gallée, J. & Fedorenko, E. (2017). A new fun and robust version of an fMRI localizer for the
fronto-temporal language system. Cognitive Neuroscience, 8(3), 167-176.
DOI: 10.1080/17588928.2016.1201466; PMID: 27386919
27. Piantadosi, S. & Fedorenko, E. (2017). Infinitely productive language can arise from chance under
communicative pressure. Journal of Language Evolution, 2(2), 141-147.
DOI: 10.1093/jole/lzw013
26. Fedorenko, E., Scott, T., Brunner, P., Coon, W.G., Pritchett, B., Schalk, G. & Kanwisher, N. (2016). Neural
correlate of the construction of sentence meaning. PNAS, 113(41), E6256-E6262.
DOI: 10.1073/pnas.1612132113; PMID: 27671642; PMCID: PMC5068329
25. Chai, L., Mattar, M., Blank, I., Fedorenko, E. & Bassett, D. (2016). Functional Network Dynamics of the
Language System. Cerebral Cortex, 26(11), 4148-4159.
DOI: 10.1093/cercor/bhw238; PMID: 27550868; PMCID: PMC5066829
24. Jouravlev, O., Stearns, L., Bergen, L., Eddy, M., Gibson, E. & Fedorenko, E. (2016). Processing Temporal
Presuppositions: an ERP study. Language, Cognition & Neuroscience, 31(10), 1245-1256.
DOI: 10.1080/23273798.2016.1209531
23. Mahowald, K. & Fedorenko, E. (2016). Reliable individual-level neural markers of language activity: A
necessary precursor for relating neural variability to genetic and behavioral variability. NeuroImage, 139,
74-93.
DOI: 10.1016/j.neuroimage.2016.05.073; PMID: 27261158
!! 22. Fedorenko, E. & Varley, R. (2016). Language and thought are not the same thing: Evidence from
neuroimaging and neurological patients. Annals of the NY Academy of Sciences, 1369(1), 132-153.
DOI: 10.1111/nyas.13046; PMID: 27096882; PMCID: PMC4874898
21. Blank, I., Balewski, Z., Mahowald, K. & Fedorenko, E. (2016). Syntactic processing is distributed across
the language system. NeuroImage, 127, 307-323.
DOI: 10.1016/j.neuroimage.2015.11.069; PMID: 26666896; PMCID: PMC4755877
20. Gibson, E., Sandberg, C., Bergen, L., Fedorenko, E. & Kiran, S. (2016). A rational inference approach to
aphasic language comprehension. Aphasiology, 30(11), 1341-1360.
DOI: 10.1080/02687038.2015.1111994; PMID: 28391038; PMCID: PMC5485413
19. Fedorenko, E.*, Morgan, A.*, Murray, E., Cardinaux, A., Mei, C., Tager-Flusberg, H., Fisher, S. &
Kanwisher, N. (2016). A highly penetrant form of childhood apraxia of speech due to deletion of 16p11.2.
European Journal of Human Genetics, 24(2), 302-306.
DOI: 10.1038/ejhg.2015.149; PMID: 26763793; PMCID: PMC4717201
18. Fedorenko, E., Fillmore, P., Smith, K., Bonilha, L. & Fridriksson, J. (2015). The superior precentral gyrus
of the insula does not appear to be functionally specialized for articulation. Journal of Neurophysiology,
113(7), 2376-2382.
DOI: 10.1152/jn.00214.2014; PMID: 25632073; PMCID: PMC4416598
17. Fedorenko, E., Hsieh, P.-J. & Balewski, Z. (2015). A possible functional localizer for identifying brain
regions sensitive to sentence-level prosody. Language, Cognition and Neuroscience (formerly Language
and Cognitive Processes), 30(1-2), 120-148.
DOI: 10.1080/01690965.2013.861917; PMID: 25642425; PMCID: PMC4306436
16. Fedorenko, E. (2014). The role of domain-general cognitive control in language comprehension. Frontiers
in Psychology, 5:335.
DOI: 10.3389/fpsyg.2014.00335; PMID: 24803909; PMCID: PMC4009428
15. Fedorenko, E. & Thompson-Schill, S.L. (2014). Reworking the language network. Trends in Cognitive
Sciences, 18(3), 120-126.
DOI: 10.1016/j.tics.2013.12.006; PMID: 24440115; PMCID: PMC4091770
14. Blank, I., Kanwisher, N. & Fedorenko, E. (2014). A functional dissociation between language and multiple-
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demand systems revealed in patterns of BOLD signal fluctuations. Journal of Neurophysiology, 112(5),
1105-1118.
DOI: 10.1152/jn.00884.2013; PMID: 24872535; PMCID: PMC4122731
13. Fedorenko, E., Duncan, J. & Kanwisher, N. (2013). Broad domain-generality in focal regions of frontal and
parietal cortex. PNAS, 110(41), 16616-16621.
DOI: 10.1073/pnas.1315235110; PMID: 24062451; PMCID: PMC3799302
12. Fedorenko E., McDermott, J., Norman-Haignere, S. & Kanwisher, N. (2012). Sensitivity to musical
structure in the human brain. Journal of Neurophysiology, 108(12), 3289-3300.
DOI: 10.1152/jn.00209.2012; PMID: 23019005; PMCID: PMC3544885
11. Fedorenko, E., Duncan, J. & Kanwisher, N. (2012). Language-selective and domain-general regions lie side
by side within Broca’s area. Current Biology, 22(21), 2059-2062.
DOI: 10.1016/j.cub.2012.09.011; PMID: 23063434; PMCID: PMC3494832
10. Nieto-Castañon, A. & Fedorenko, E. (2012). Subject-specific functional localizers increase sensitivity and
functional resolution of multi-subject analyses. NeuroImage, 63(3), 1646-1669.
DOI: 10.1016/j.neuroimage.2012.06.065; PMID: 22784644; PMCID: PMC3477490
9. Julian, J., Fedorenko, E., Webster, J. & Kanwisher, N. (2012). An algorithmic method for functionally
defining regions of interest in the ventral visual pathway. NeuroImage, 60(4), 2357-2364.
DOI: 10.1016/j.neuroimage.2012.02.055; PMID: 22398396
8. Fedorenko, E., Nieto-Castañon, A. & Kanwisher, N. (2012). Lexical and syntactic representations in the
brain: An fMRI investigation with multi-voxel pattern analyses. Neuropsychologia, 50(4), 499-513.
DOI: 10.1016/j.neuropsychologia.2011.09.014; PMID: 21945850; PMCID: PMC3292791
7. Fedorenko, E., Nieto-Castañon, A. & Kanwisher, N. (2012). Syntactic processing in the human brain: What
we know, what we don’t know, and a suggestion for how to proceed. Brain and Language, 120(2), 187207.
DOI: 10.1016/j.bandl.2011.01.001; PMID: 21334056; PMCID: PMC3108014
6. Fedorenko, E., Behr, M. & Kanwisher, N. (2011). Functional specificity for high-level linguistic processing
in the human brain. PNAS, 108(39), 16428-16433.
DOI: 10.1073/pnas.1112937108; PMID: 21885736; PMCID: PMC3182706
5. Bedny, M., Pascual-Leone, A., Dodell-Feder, D., Fedorenko, E. & Saxe, R. (2011). Language processing in
the occipital cortex of congenitally blind adults. PNAS, 108(11), 4429-4434.
DOI: 10.1073/pnas.1014818108; PMID: 21368161; PMCID: PMC3060248
4. Fedorenko, E. & Kanwisher, N. (2011). Some regions within Broca’s area do respond more strongly to
sentences than to linguistically degraded stimuli: A comment on Rogalsky & Hickok (2010). Journal of
Cognitive Neuroscience, 23(10), 2632-2635.
DOI: 10.1162/jocn_a_00043
3. Fedorenko, E. & Kanwisher, N. (2011). Functionally localizing language-sensitive regions in individual
subjects with fMRI: A reply to Grodzinsky’s critique of Fedorenko & Kanwisher (2009). Language and
Linguistics Compass, 5(2), 78-94.
DOI: 10.1111/j.1749-818X.2010.00264.x
2. Fedorenko, E., Hsieh, P.-J., Nieto-Castañon, A., Whitfield-Gabrieli, S. & Kanwisher, N. (2010). A new
method for fMRI investigations of language: Defining ROIs functionally in individual subjects. Journal of
Neurophysiology, 104(2), 1177-1194.
DOI: 10.1152/jn.00032.2010; PMID: 20410363; PMCID: PMC2934923
1. Fedorenko, E. & Kanwisher, N. (2009). Neuroimaging of language: Why hasn’t a clearer picture emerged?
Language and Linguistics Compass, 3, 839-865.
DOI: 10.1111/j.1749-818X.2009.00143.x
My older work, carried out during graduate school – behavioral investigations of language and cognition:
24. Scontras, G., Badecker W. & Fedorenko, E. (2017). Syntactic complexity effects in sentence production: A
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reply to MacDonald et al. (2016). Cognitive Science, 1-8.
DOI: 10.1111/cogs.12495
23. Singh, R., Fedorenko, E., Mahowald, K. & Gibson, E. (2015). Accommodating presuppositions is
inappropriate in implausible contexts. Cognitive Science, 40(3), 607-634.
DOI: 10.1111/cogs.12260; PMID: 26153044
22. Scontras, G., Badecker, W., Shank, L., Lim, E. & Fedorenko, E. (2015). Syntactic complexity effects in
sentence production. Cognitive Science, 39(3), 559-583.
DOI: 10.1111/cogs.12168; PMID: 25256303
21. Grosz, P., Patel-Grosz, P., Fedorenko, E. & Gibson, E. (2015). Constraints on Donkey pronouns. Journal of
Semantics, 32(4), 619-648.
DOI: 10.1093/jos/ffu009
20. Gibson, E., Jacobson, P., Graff, P., Mahowald, K., Fedorenko, E. & Piantadosi, S. (2015). A pragmatic
account of complexity in definite Antecedent-Contained-Deletion relative clauses. Journal of Semantics,
32(4), 579-618.
DOI: 10.1093/jos/ffu006
19. Gibson, E., Piantadosi, S. & Fedorenko, E. (2013). Quantitative methods in syntax / semantics research: A
response to Sprouse & Almeida (2013). Language and Cognitive Processes, 28(3), 229-240.
DOI: 10.1080/01690965.2012.704385
18. Gibson, E. & Fedorenko, E. (2013). The need for quantitative methods in syntax and semantics research.
Language and Cognitive Processes, 28(1-2), 88-124.
DOI: 10.1080/01690965.2010.515080
17. Levy, R., Fedorenko, E. & Gibson, E. (2013). The syntactic complexity of Russian relative clauses. Journal
of Memory and Language, 69(4), 461-495.
DOI: 10.1016/j.jml.2012.10.005; PMID: 24711687; PMCID: PMC3975271
16. Perrachione, T., Fedorenko, E., Vinke, L., Gibson, E. & Dilley, L. (2013). Pitch processing is shared
between language and music. PLoS ONE, 8(8): e73372.
DOI: 10.1371/journal.pone.0073372; PMID: 23977386; PMCID: PMC3744486
15. Fedorenko, E., Woodbury, R. & Gibson, E. (2013). Direct evidence of memory retrieval as a source of
difficulty in long-distance structural dependencies in language. Cognitive Science, 37(2), 378-394.
DOI: 10.1111/cogs.12021; PMID: 23362990
14. Mahowald, K., Fedorenko, E., Piantadosi, S. & Gibson, E. (2013). Info/information theory: speakers choose
shorter words in predictive contexts. Cognition, 126(2), 313-318.
DOI: 10.1016/j.cognition.2012.09.010; PMID: 23116925
13. Fedorenko, E., Piantadosi, S. & Gibson, E. (2012). The interaction of syntactic and lexical information
sources in language processing: The case of the noun-verb ambiguity. Journal of Cognitive Science, 13(3),
249-285.
DOI: 10.17791/jcs.2012.13.3.249
12. Levy, R., Fedorenko, E., Breen, M. & Gibson, E. (2012). The processing of extraposed structures in English.
Cognition, 122(1), 12-36.
DOI: 10.1016/j.cognition.2011.07.012; PMID: 22035959; PMCID: PMC3857735
11. Frank, M., Fedorenko, E., Lai, P., Saxe, R. & Gibson, E. (2012). Verbal interference suppresses exact
numerical representation. Cognitive Psychology, 64(1-2), 74-92.
DOI: 10.1016/j.cogpsych.2011.10.004; PMID: 22112644
10. Fedorenko, E., Piantadosi, S. & Gibson, E. (2012). Processing relative clauses in supportive contexts.
Cognitive Science, 36(3), 471-497.
DOI: 10.1111/j.1551-6709.2011.01217.x; PMID: 22256956
9. Breen, M., Fedorenko, E., Wagner, M. & Gibson, E. (2010). Acoustic correlates of information structure.
Language and Cognitive Processes, 25(7/8/9), 1044-1098.
DOI: 10.1080/01690965.2010.504378
8. Gibson, E. & Fedorenko, E. (2010). Weak quantitative standards in linguistics research. Trends in Cognitive
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Sciences, 14(6), 233-234.
DOI: 10.1016/j.tics.2010.03.005; PMID: 20363175
7. Tily, H., Fedorenko, E. & Gibson, E. (2010). The time-course of lexical and structural processes in sentence
comprehension. Quarterly Journal of Experimental Psychology, 63(5), 910-927.
DOI: 10.1080/17470210903114866; PMID: 19746299
6. Fedorenko, E. & Gibson, E. (2010). Adding a third wh-element does not increase the acceptability of objectinitial multiple-wh questions. Syntax, 13(3), 183-195.
DOI: 10.1111/j.1467-9612.2010.00138.x
5. Fedorenko, E., Patel, A., Casasanto, D., Winawer, J. & Gibson, E. (2009). Structural integration in language
and music: Evidence for a shared system. Memory and Cognition, 37(1), 1-9. (Recipient of the Best Article
of the Year Award from the Psychonomic Society)
DOI: 10.3758/MC.37.1.1; PMID: 19103970
4. Frank, M., Everett, D., Fedorenko, E. & Gibson, E. (2008). Number as a cognitive technology: Evidence from
Pirahã language and cognition. Cognition, 108(3), 819-824.
DOI: 10.1016/j.cognition.2008.04.007; PMID: 18547557
3. Fedorenko, E., Gibson, E. & Rohde, D. (2007). The nature of working memory in linguistic, arithmetic and
spatial integration processes. Journal of Memory and Language, 56(2), 246-269.
DOI: 10.1016/j.jml.2006.06.007
2. Fedorenko, E., Gibson, E. & Rohde, D. (2006). The nature of working memory capacity in sentence
comprehension: Evidence against domain-specific resources. Journal of Memory and Language, 54(4),
541-553.
DOI: 10.1016/j.jml.2005.12.006
1. Costa, A., Kovacic, D., Fedorenko, E. & Caramazza, A. (2003). The gender congruency effect and the
selection of freestanding and bound morphemes: Evidence from Croatian. Journal of Experimental
Psychology: LMC, 29(6), 1270-1282.
DOI: 10.1037/0278-7393.29.6.1270; PMID: 14622060
Other publications (select peer-reviewed conference proceedings and book/encyclopedia chapters):
Kauf, C., Chersoni, E., Lenci, A., Fedorenko, E. & Ivanova, A. (2024). Log probabilities are a reliable estimate
of semantic plausibility in base and instruction-tuned language models. Proceedings of ACL.
Zhuang, C., Fedorenko, E. & Andreas, J. (2024). Lexicon-Level Contrastive Visual-Grounding Improves
Language Modeling. Proceedings of ACL.
Zhuang, C., Fedorenko, E. & Andreas, J. (2024). Visual Grounding Helps Learn Word Meanings in Low-Data
Regimes. Proceedings of NAACL. (Best Paper Award).
Hosseini, E. A., Fedorenko, E. (2023). Large language models implicitly learn to straighten neural sentence
trajectories to construct a predictive representation of natural language. Proceedings of Advances in Neural
Information Processing Systems.
Wolf, L., Pimentel, T., Fedorenko, E., Cotterell, R., Warstadt, A., Wilcox, E., and Regev, T., 2023. Quantifying
the redundancy between prosody and text. Proceedings of EMNLP.
Hu, J., Floyd, S., Jouravlev, O., Fedorenko, E., & Gibson, E. (2023) A fine-grained comparison of pragmatic
language understanding in humans and language models. Proceedings of ACL (Volume 1: Long Papers,
4194–4213).
Srikant, S.*, Lipkin, B.*, Ivanova, A., Fedorenko, E., & O'Reilly, U. M. (2022). Convergent Representations of
Computer Programs in Human and Artificial Neural Networks. Proceedings of Advances in Neural
Information Processing Systems 35, 18834-18849.
Tuckute, G.*, Sathe, A.*, Wang, M., Yoder, H., Shain, C., & Fedorenko, E. (2022). SentSpace: Large-Scale
Benchmarking and Evaluation of Text using Cognitively Motivated Lexical, Syntactic, and Semantic
Features. Proceedings of NAACL (pp. 99-113).
Fedorenko, E. (2020). The brain network that supports high-level language processing. In Gazzaniga, Ivry,
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Mangun (Ed.), Cognitive Neuroscience: The Biology of the Mind (5th edition). MIT Press, Cambridge,
MA.
Gibson, E., Tily, H. & Fedorenko, E. (2014). The processing complexity of English relative clauses. In Sanz,
Laka & Tanenhaus (Eds.), Language down the garden path: The cognitive and biological basis for
linguistic structure. Oxford University Press.
Frank, M., Fedorenko, E. & Gibson, E. (2008). Language as a cognitive technology: English-speakers match
like Pirahã when you don’t let them count. Proceedings of the 30th Annual Meeting of Cognitive Science
Society. (Marr Prize)
Preprints (alphabetical order):
Billot, A.*, Jhingan, N.*, Varkanitsa, M., Blank, I., Ryskin, R., Kiran, S.^ & Fedorenko, E.^ (2024). The
language network ages well: Preserved selectivity, lateralization, and within-network functional
synchronization in older brains. bioRxiv: https://www.biorxiv.org/content/10.1101/2024.10.23.619954
Bruffaerts, R., Pongos, A., Shain, C., Lipkin, B., Siegelman, M., Wens, V., ... & Fedorenko, E. (2023).
Functional identification of language-responsive channels in individual participants in MEG investigations.
bioRxiv: https://www.biorxiv.org/content/10.1101/2023.03.23.533424
de Varda, A. G., Malik-Moraleda, S., Tuckute, G., & Fedorenko, E. (2025). Multilingual Computational
Models Reveal Shared Brain Responses to 21 Languages. bioRxiv:
https://www.biorxiv.org/content/10.1101/2025.02.01.636044
Floyd, S.*, Jouravlev, O.*, Poliak, M., Mineroff, Z., Gibson, E.^, & Fedorenko, E.^ (2023). A tripartite
structure of pragmatic language abilities: comprehension of social conventions, intonation processing, and
causal reasoning. PsyArXiv: https://osf.io/preprints/psyarxiv/e2xta
Hosseini, E., Casto, C., Zaslavsky, N., Conwell, C., Richardson, M. & Fedorenko, E. (2024). Universality of
representation in biological and artificial neural networks. bioRxiv:
https://www.biorxiv.org/content/10.1101/2024.12.26.629294
Ivanova, A. 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. & Andreas, J. (2024). Elements of World Knowledge (EWOK): A cognitioninspired framework for evaluating basic world knowledge in language models. arXiv:2405.09605
Jouravlev, O., Mahowald, K., Paunov, A., Gibson, E., & Fedorenko, E. (2023). Evaluation of Psychometric
Properties and Inter-test Associations for Three Popular Measures of Social Competence. psyRxiv:
https://osf.io/preprints/psyarxiv/es9wt
Kauf, C., Kim, H. S., Lee, E. J., Jhingan, N., She, J. S., Taliaferro, M., Gibson, E. & Fedorenko, E. (2024).
Linguistic inputs must be syntactically parsable to fully engage the language network. bioRxiv:
https://www.biorxiv.org/content/10.1101/2024.06.21.599332
Kean, H., Fung, A., Pramod, RT., Chomik-Morales, J., Kanwisher, N. & Fedorenko, E. (2024). Intuitive
physical reasoning is not mediated by linguistic nor exclusively domain-general abstract representations.
bioRxiv: https://doi.org/10.1101/2024.11.25.625212
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. E. & Fedorenko, E. (2024). Precision fMRI reveals that the
language network exhibits adult-like left-hemispheric lateralization by 4 years of age. bioRxiv:
https://www.biorxiv.org/content/10.1101/2024.05.15.594172
Tuckute, G., Lee, E.J., Sathe, A. & Fedorenko, E. (2024). A 3.5 minute-long reading-based fMRI localizer for
the language network. bioRxiv: https://www.biorxiv.org/content/10.1101/2024.07.02.601683
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February 2025
INVITED TALKS (select, from 2020 onwards):
Notation:
• Departmental colloquia and similar
v Workshops, symposia, and lecture series
Ø Conference keynotes
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UC Santa Barbara, PBS / Mind and Machine Intelligence (Santa Barbara, CA). Dec 2024.
University of Pennsylvania, Department of Psychology (Philadelphia, PA). Sep 2024.
MGH Brain Map Seminar Series (Boston, MA). Sep 2024.
Stanford University, Department of Psychology (Stanford, CA). Dec 2023.
MIT, Department of Brain and Cognitive Sciences (Cambridge, MA). Oct 2023.
Rockefeller University, Neuroscience Seminar Series (New York, NY). Mar 2023.
Max Planck Institute for Psycholinguistics (Nijmegen, Netherlands). Feb 2023.
Yale University, fMRI Seminar Series (New Haven, CT). Feb 2023.
Johns Hopkins University, Cognitive Science Department (Baltimore, MD). Dec 2022.
Indiana University, Cognitive Science Program (Bloomington, IN). Nov 2022.
Moss Research Rehabilitation Institute (Philadelphia, PA; virtual). Feb 2022.
Higher School of Economics, Linguistics Department (Moscow, Russia; virtual). Feb 2022.
Penn State University, Center for Language Sciences (Philadelphia, PA; virtual). Nov 2021.
Institute of Language, Communications and the Brain (ILCB) (Aix-en-Provence/Marseille, France;
virtual). Oct 2021.
University College London, Department of Experimental Psychology (London, UK; virtual). Oct 2021.
Columbia University, Center for Theoretical Neuroscience (New York, NY). Oct 2021.
Harvard University, Cognition, Brain & Behavior Seminar Series (virtual). Sep 2021.
MGH Brain Map Seminar Series (Boston, MA; virtual). May 2021.
MRC CBU Chaucer Club Seminar Series (Cambridge, UK; virtual). Feb 2021.
Royal Holloway University of London, Department of Psychology (London, UK; virtual). Jan 2021.
UCLA, Behavior, Evolution, and Culture (BEC) Seminar Series (Los Angeles, CA; virtual). Jan 2021.
UC Irvine, Linguistics Department (Irvine, CA; virtual). Dec 2020.
CMU, Language Technologies Institute (Pittsburgh, PA; virtual). Nov 2020.
OSU, Psychology Department and the CCBBI Imaging Center (virtual). Oct 2020.
Georgetown University, Interdisciplinary Program in Neuroscience (Washington DC; virtual). Mar
2020.
v Language and thought in the human brain. Simons Institute Workshop on LLMs. (San Francisco,
CA). Feb 2025.
v Neural network language models as models of language processing in the human brain. BRAIN
NeuroAI Workshop at NIH. (Bethesda, MD). Oct 2024.
v Language is distinct from thought in the human brain. The Royal Society, “Beyond the symbols vs.
signals debate”. (London, UK). Oct 2024.
v The language system in the broader landscape of the human brain. Lake Conference, “Comparative
and evolutionary biology”. (Seattle, WA). Oct 2024.
v Neural network language models as models of language processing. NeuroAI workshop. (Tromso à
Trondheim, Norway). Sep 2024.
v The relationship between language and thought, and how it pertains to human intelligence. Santa Fe
Institute. (Santa Fe, NM). Aug 2024.
v The Utility of Large Language Models in Understanding the Human Language System. AAAS
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February 2025
Annual Meeting. (Denver, CO). Feb 2024.
v The human language system. The Price Family Center for the Social Brain Symposium at Rockefeller
University. (New York, NY). Nov 2023.
v Language in brains and machines. Generative AI: Shaping the future Symposium at MIT. (Cambridge,
MA). Nov 2023.
v Unveiling the neural substrates of language development through precision fMRI. Neurobiology of
Language Symposium (Marseille, France). Oct 2023. (co-organized with Ola Ozernov-Palchik)
v The language system in the human brain. Neurobiology NOW Symposium at Harvard Medical School
(Cambridge, MA). Oct 2023.
v A journey into Dan Everett’s brain. From fieldwork to linguistic theory: A tribute to Dan Everett
(Cambridge, MA). Jun 2023.
v Large language models are promising as models of human language processing. C-Star Lecture
Series (virtual). Mar 2023.
v The human language system. Brigham and Women’s Hospital Neurology Rounds Seminar Series
(Boston, MA). Feb 2023.
v The human language system. EMNLP conference workshop, “Multilingual Representation Learning”.
Nov 2022.
v A universal language network in the human brain. A workshop on vocalization and language at the
Annual Meeting of the Society for Social Neuroscience. Nov 2022.
v The language system in the human mind and brain. The Edinburgh Lectures in Language Evolution
(ELLE). Jun 2022.
v The language system in the human brain. ACL conference workshop, “Workshop on Commonsense
Representation and Reasoning” (Dublin, Ireland / virtual). May 2022.
v The power of individual-level analyses in fMRI. CNS Symposium “Insights into human cognition from
precision fMRI of individuals” (San Francisco, CA). May 2022.
v How minds and brains create language. NIH. Apr 2022.
v The human language system in the mind and brain. Learning Salon Series. Feb 2022.
v The human language system in the mind and brain. Innovators in Cognitive Neuroscience Seminar
Series. Dec 2021.
v The human language system in the mind and brain. Talk series “Construction grammar explorations”
at the Interdisciplinary Centre for Research on Lexicography, Valency and Collocation at the University
of Erlangen-Nürnberg (virtual). Nov 2021.
v The human language system in the mind and brain. A conference jointly organized by the Tianqiao
and Chrissy Chen Institute and AAAS/Science (Virtual). Oct 2021.
v Language in the mosaic of social cognition. Workshop “Dialogue, memory, and emotion” (Virtual).
May 2021.
v Efficient communication—not enabling complex thought—is the computational goal of the language
system. MPI for Psycholinguistics 40th Anniversary event “The Neurobiology of Language: Key Issues
and Ways Forward” (virtual due to COVID19). Apr 2021. https://www.mpi.nl/events/neurobiologylanguage-key-issues-and-ways-forward/videos
v Artificial neural networks as models of language processing in the human brain. Columbia
University seminar “When Machines Speak: Language Processing in Computers and Humans”. (virtual
due to COVID19). Mar 2021.
v Broca’s area is not a natural kind. International Brain Mapping Symposium. (virtual due to
COVID19). Mar 2021.
v The neural mechanisms of language processing and their relationship to executive function
mechanisms. C-STAR Lecture Series (https://cstar.sc.edu/lecture-series/) (virtual due to COVID19).
Sep 2020. https://www.youtube.com/watch?v=p6cM8R4roEg
v Artificial Neural Networks as models of language comprehension in the human brain. RepL4NLP
Workshop at ACL (virtual due to COVID19). Jul 2020.
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February 2025
v The language system in the human mind and brain. Abralin ao Vivo, the talk series of the Brazilian
Linguistics Association (https://www.abralin.org/site/en/evento/abralin-ao-vivo-2020/) (virtual). May
2020. https://www.youtube.com/watch?v=hqrsHmhcrSQ
v Cancelled due to COVID19: University of Tübingen Workshop “Grounded and Symbolic
Representations in Language Processing” (Tübingen, Germany). May 2020.
v Cancelled due to COVID19: EvoLang Workshop “Evolution of the Extended Language System”
(Brussels, Belgium). Apr 2020.
v Cancelled due to COVID10: BU Symposium “Language and Domain General Cognitive Processing in
Stroke and Dementia” (Boston, US). Apr 2020.
Ø Conference on Language Models (COLM) (Philadelphia, PA). Oct 2024.
Ø The 10th International Conference of the German Cognitive Linguistics Association (DGKL)
(Tübingen, Germany). Sep 2024.
Ø Sharif Neuroscience Symposium (Tehran, Iran; attending virtually). Mar 2023.
Ø Applied Machine Learning Days: Generative AI (Lausanne, Switzerland). Aug 2023.
Ø Linguistic Evidence (Paris, France). Oct 2022.
Ø The 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021)
(virtual). Dec 2021.
Ø The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) (virtual). Nov
2021.
Ø The 11th International Conference on Construction Grammar (ICCG11) (virtual). Aug 2021.
Ø The 5th Usage-Based Linguistics Conference (virtual). Jul 2021.
TEACHING:
Classes taught / co-taught:
Instructor, BCS MIT (with Ted Gibson), “9.s913: Language and meaning in minds, brains and machines”,
Spring 2025.
Instructor, BCS MIT, “9.39: Language in the mind and brain”, Spring 2023, 2024.
Instructor, BCS MIT (with Rebecca Saxe), “9.S914: Developmental Cognitive Neuroscience”, Fall 2022.
Instructor, 4-lecture series at University of Paris, France, “The human language system”, Fall 2022.
Instructor, BCS MIT, “9.39: Language in the mind and brain”, Spring 2022.
Instructor, BCS MIT, “9.S52: Language in the mind and brain”, Spring 2021.
Instructor, LOT Winter School at UvA (Amsterdam, Netherlands), “Language and Music”, January 2015.
Co-Instructor (with Ted Gibson), BCS MIT, “9.591: Language processing: An introduction to the experimental
investigation of language, above the word level”, Fall 2008.
Co-Instructor (with Ted Gibson), LSA Summer Institute at Stanford University, “Working memory and
informational constraints in language processing”, Summer 2007.
Invited external lectures:
Lecturer, Cold Spring Harbor Laboratory, “Genetics and Neurobiology of Language” (Cold Spring Harbor,
NY), July 2024.
Lecturer, 11th annual Computational & Cognitive Neuroscience Summer School (CCNSS) (Souzhou,
China/virtual), July 2023.
Lecturer, Cold Spring Harbor Laboratory, “Genetics and Neurobiology of Language” (Cold Spring Harbor,
NY), July 2022.
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February 2025
Lecturer, The 9th IMPRS NeuroCom Summer School at MPI CBS (Leipzig, Germany), June 2019.
Lecturer, The Brains, Minds, and Machines Summer Course (Woods Hole, MA), August 2018.
Lecturer, Cold Spring Harbor Laboratory, “Genetics and Neurobiology of Language” (Cold Spring Harbor,
NY), July 2018.
Lecturer, Kavli Summer Institute in Cognitive Neuroscience, July 2018.
Lecturer, Cold Spring Harbor Laboratory, “Genetics and Neurobiology of Language” (Cold Spring Harbor,
NY), July-August 2014, July 2016.
ADVISING:
NB: bold = current advisees.
Postdoc advising:
• Greta Tuckute (MIT), February 2025 – present.
• Saima Malik-Moraleda (MIT), November 2024 – present.
• Kumar Duraivel (MIT), September 2024 – present.
• Eghbal Hosseini (MIT), May 2024 – present.
• Agata Wolna (MIT), February 2024 – present.
• Halie Olson (MIT), June 2023 – present.
• Tamar Regev (MIT), November 2019 – present.
• Maria Ryskina (MIT), November 2022 – October 2024.
• Chengxu Zhuang (MIT), August 2022 – August 2024 (next career stage: OpenAI).
• Cory Shain (MIT), May 2021 – July 2024 (next career stage: Asst Prof at Stanford).
• Anna Ivanova (MIT), Summer 2022 – December 2023 (next career stage: Asst Prof at Georgia Tech).
• Samantha Floyd (MIT), September 2021 – June 2023 (next career stage: Asst Prof at Sarah Lawrence).
• Alexander Paunov (MIT), June 2019 – September 2020 (next career stage: Postdoctoral Fellow at
NeuroSpin in Paris).
• Rachel Ryskin, postdoc (MIT), June 2016 – July 2019 (co-advising with Ted Gibson), July 2019 – July
2020 (primary advisor) (next career stage: Asst Prof at UC Merced).
• Jayden Ziegler (MIT), June-August 2019 (next career stage: Apple, Inc.).
• Idan Blank (MIT), August 2016 – July 2019 (next career stage: Asst Prof at UCLA).
• Melissa Kline (MIT/Harvard), March 2016 – December 2017 (next career stage: Center for Open
Science).
• Olessia Jouravlev (MIT), April 2015 – August 2017 (next career stage: Asst Prof at Carleton
University).
Graduate (PhD and Masters) advising:
PhD students for whom I was/am the primary mentor or co-mentor:
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Colton Casto (SHBT), PhD, Fall 2024 – present (co-advised with Nancy Kanwisher).
Benjamin Lipkin (MIT), PhD, Fall 2023 – present (co-advised with Roger Levy).
Hope Kean (MIT), PhD, Fall 2020 – present.
Greta Tuckute (MIT), PhD, Fall 2020 – Fall 2024 (next career stage: postdoc at MIT).
Saima Malik Moraleda (SHBT), PhD, Fall 2018 – Fall 2024 (next career stage: postdoc at MIT).
Eghbal Hosseini (MIT), PhD, Summer 2019 – Spring 2024 (next career stage: postdoc at MIT).
Carina Kauf (MIT; co-advised with Roger Levy), PhD, Spring 2020 – Spring 2024.
Anna Ivanova (MIT), PhD, Fall 2017 – Summer 2022 (next career stage: postdoc at MIT; now faculty at
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February 2025
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Georgia Tech).
Alex Paunov (MIT; co-advised with Ted Gibson), PhD, Spring 2015 – Fall 2016, Fall 2018 (next career
stage: postdoc at MIT; now a postdoc at Neurospin in Paris).
Idan Blank (MIT; co-advised with Nancy Kanwisher), PhD, Fall 2011 – Spring 2016 (next career stage:
postdoc at MIT; now faculty at UCLA).
Masters students and students I helped advise:
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Elizabeth Lee (MIT), MEng, Summer 2023 – Spring 2024.
Lara Rakocevic (MIT; co-advised with Noga Zaslavsky), MEng, Summer 2020 – Fall 2020.
Jeanne Gallée (SHBT; co-advised with Brad Dickerson), PhD, Fall 2019 – Fall 2020 (next career stage:
postdoc at U Washington).
Jayden Ziegler (Harvard; co-advised with Jesse Snedeker), PhD, Fall 2016 – Spring 2019 (next career
stage: postdoc at MIT).
Moataz Assem (Bogazici University, Turkey; co-advised with Ahmet Ademoglu), Masters, 2015-2016
(next career stage: PhD student at MRC CBU).
Post-bac advising (full-time RAs):
• Aaron Wright, Fall 2024 – present.
• Chiebuka Ohams, Summer 2024 – present.
• Anvitha Kachinthaya, Summer 2024 – present.
• Selena She, Summer 2023 – present.
• Alexander Fung, Summer 2023 – present.
• Sara Swords, October 2022 – present.
• Hee So Kim, January 2023 – summer 2024 (next career stage: PhD student at CMU).
• Niharika Jinghan, Summer 2021 – Summer 2024 (next career stage: Masters student at Harvard).
• Aalok Sathe, Summer 2021 – Summer 2024 (next career stage: PhD student at Brown).
• Colton Casto, Summer 2021 – Summer 2023 (next career stage: PhD student at Harvard (SHBT)).
• Maya Taliaferro, Summer 2021 – Summer 2023 (next career stage: PhD student at NYU).
• Ben Lipkin, Summer 2020 – Summer 2022 (next career stage: PhD student at MIT).
• Francis Mulligan, Fall 2021 – Spring 2022.
• Hannah Small, Summer 2019 – Summer 2021 (next career stage: PhD student at JHU).
• Josef Affourtit, Summer 2019 – Summer 2021.
• Alvince Al Pongos, January 2019 – Summer 2021 (next career stage: PhD student at Berkeley/UCSF).
• Hope Kean, Summer 2018 – Summer 2020 (next career stage: PhD student at MIT).
• Nafisa Syed, Summer 2019 (next career stage: Masters student at MIT).
• Greta Tuckute, Summer 2018 (next career stage: Masters and then PhD student at MIT).
• Matt Siegelman, Summer 2016 – Summer 2018 (next career stage: PhD student at Columbia
University).
• Evgeniia Diachek, Fall 2016 – Summer 2018 (next career stage: PhD student at Vanderbilt University).
• Dima Ayyash, Spring 2016 – Summer 2017.
• Caitlyn Hoeflin, Summer 2015 – Fall 2016.
• Brianna Pritchett, Summer 2015 – Summer 2017 (next career stage: Masters student at Georgia Tech).
• Zach Mineroff, Summer 2015 – Summer 2017 (next career stage: Masters student at CMU).
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February 2025
SERVICE:
Committees MIT:
• BCS/SCC Faculty Search Committee, Fall 2024.
• MIT Quest Council, Spring 2024 – present.
• BCS Education Committee, Fall 2021 – present.
• MIT Broad Faculty Search Committee, Spring 2021.
• MIT COUHES Committee, Fall 2020 – present.
• BCS Council, Fall 2019 – present.
• BCS Seminars Committee, Fall 2019 – present.
Committees – other:
• Harvard Program in Speech and Hearing Bioscience and Technology Admissions Committee, 20172021, 2023, 2024.
• Secretary, Society for the Neurobiology of Language, Summer 2019 – November 2022.
Conference / workshop organization (select):
• Cognitive Computational Neuroscience (CCN; Cambridge, MA). 2024. Organizer (with Talia Konkle).
• Symposium “Genetics and cognitive neuroscience: What does the future hold?” (CNS; San Francisco,
CA). 2017. Organizer.
• Workshop “The Relationship between Executive Functions and Language Processing” (MIT;
Cambridge, MA). 2017. Cambridge, MA. Organizer.
• CUNY Conference on Sentence Processing (MIT; Cambridge, MA). 2017. Organizing Committee.
NIH reviewing:
• NICHD Learning Disabilities Innovation Hubs initiative, April 2022
• NINDS Neurological Sciences and Disorders Panel, June 2021.
• NINDS Special Emphasis Panel, February 2020.
NSF reviewing:
• NSF Panel on Cognitive Neuroscience, December 2020.
Ad-hoc grant reviewer: NSF; Simons Foundation.
Senior Editor at Neurobiology of Language: Summer 2019 – present.
Ad-hoc journal reviewer: Behavioral & Brain Sciences; Cell; Cerebral Cortex; Cognition; Cognitive Science;
Current Biology; eLife; Human Brain Mapping; Journal of Experimental Psychology: LMC; Journal of
Memory & Language; Journal of Cognitive Neuroscience; Journal of Neurophysiology; Journal of
Neuroscience; Nature; Nature Communications; Nature Human Behavior; Nature Neuroscience; Nature
Scientific Data; NeuroImage; PLOS Biology; PLOS Computational Biology; PLoS One; PNAS;
Psychological Science; Science; Science Advances; Trends in Cognitive Sciences, among others.
PROFESSIONAL SOCIETY MEMBERSHIP:
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American Physiological Association
Association for Psychological Science
Cognitive Neuroscience Society
Society for the Neurobiology of Language
Society for Neuroscience
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February 2025
PUBLIC OUTREACH (select):
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2024: The SFI podcast, “Nature of intelligence”. https://www.santafe.edu/culture/podcasts/ep-2-therelationship-between-language-and-thought
2024: The Many Minds podcast, “Your brain on language.” https://disi.org/your-brain-on-language/
2024: The Mind and Matter podcast. https://mindandmatter.substack.com/podcast
2024: Scientific American, “You don’t need words to think.”
https://www.scientificamerican.com/article/you-dont-need-words-to-think/
2024: New York Times, “Do we need language to think?”
https://www.nytimes.com/2024/06/19/science/brain-language-thought.html
2024: PNAS Front Matter, “Can ChatGPT help researchers understand how the human brain handles
language?” https://www.pnas.org/doi/10.1073/pnas.2410196121
2024: The Transmitter, “Can an emerging field called ‘neural systems understanding’ explain the
brain?” https://www.thetransmitter.org/neural-networks/can-an-emerging-field-called-neural-systemsunderstanding-explain-the-brain
2023: The Atlantic, “The difference between speaking and thinking”
https://www.theatlantic.com/technology/archive/2023/01/chatgpt-ai-language-human-computergrammar-logic/672902
2023: New York Times, “The animals are talking: What does it mean?”
https://www.nytimes.com/2023/09/20/magazine/animal-communication.html
2022: New York Times, “The curious hole in my head.”
https://www.nytimes.com/2022/09/04/science/brain-language-research.html
2022: Brain Inspired podcast. https://braininspired.co/podcast/144/
2022: APA podcast. https://www.apa.org/news/podcasts/speaking-of-psychology/languages
2022: Live Science, “Can we think without language?”
https://www.livescience.com/can-we-think-without-language
2022: Washington Post, “The remarkable brain of a carpet cleaner who speaks 24 languages.”
https://www.washingtonpost.com/dc-md-va/interactive/2022/multilingual-hyperpolyglot-brainlanguages/
2022: WIRED, “She was missing a chunk of her brain. It didn’t matter.”
https://www.wired.com/story/she-was-missing-a-chunk-of-her-brain-it-didnt-matter/
2021: World Science Festival, “Mind Your Language: Thought, Metaphor, and Imagination” (a panel
discussion with Brian Greene; other participants: Noam Chomsky, Daniel Dor, and Steven Pinker).
https://www.youtube.com/watch?v=6LXHtDUXkS0
2021: Science/AAAS Custom Publishing Office Webinar “The shrinking distance between human and
machine: Computing where we end and the technologies begin”. https://www.sciencemag.org/custompublishing/webinars/shrinking-distance-between-human-and-machine-computing-where-we-end-and
2021: Alan Alda’s “Science Clear and Vivid” podcast. https://podcasts.apple.com/us/podcast/how-yourmind-creates-language/id1535702219?i=1000521539107
2021: Stephen Wilson’s “Language Neuroscience” podcast.
https://www.listennotes.com/podcasts/the-language/a-conversation-with-ev-KMSmRzpngiB/
2020: subtitlepod.com, podcast with Patrick Cox, “Is a polyglot’s brain different?”
https://subtitlepod.com/is-a-polyglots-brain-different/
2019: CangaroEnglish, interview with Christian Saunders for “Language and the brain.”
https://youtu.be/d8YM7gy0OmU
2019: BBC, interview with Simon Calder for “The Polyglots. The superlinguists.”
https://www.bbc.co.uk/programmes/w3csz4pt
2018: Science for the Public, interview with Yvonne Stapp for “Language acquisition: How many
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February 2025
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languages can you learn?” http://www.scienceforthepublic.org/life/language-acquisition-how-manylanguages-can-you-learn
2018: New Yorker, interview with Judith Thurman for “The mystery of people who speak dozens of
languages.” https://www.newyorker.com/magazine/2018/09/03/the-mystery-of-people-who-speakdozens-of-languages
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