Below is a list of my publications (for an updated list, please see Google Scholar).
Publications
2025 Kotar*, K. & Tuckute*, G. (2025): Model Connectomes: A Generational Approach to Data-Efficient Language Models, International Conference on Learning Representations (ICLR 2025), Re-Align Workshop, doi: https://www.arxiv.org/abs/2504.21047.
2025 Casto, C., Small, H., Poliak, M., Tuckute, G., Lipkin, B., Wolna, A., D’Mello, A. M., Fedorenko, E. (2025): The cerebellar components of the human language network, bioRxiv, doi: https://doi.org/10.1101/2025.04.14.645351.
2025Tuckute, G.*, Mahowald*, K., Isola, P., Oliva, A., Gibson, E., Fedorenko, E. (2025): Intrinsically memorable words have unique associations with their meanings, Journal of Experimental Psychology: General, doi: https://doi.org/10.1037/xge0001742.
2025 Santi, B., Soza, M., Tuckute, G., Sathe, A., Fedorenko, E., Olson, H. (2025): An automated pipeline for efficiently generating standardized, child-friendly audiovisual stimuli, PsyArXiv, doi: https://osf.io/preprints/psyarxiv/8gcn7_v1.
2025 AlKhamissi, B., Tuckute, G., Tang, Y., BinHuraib, T., Bosselut^, A., Schrimpf^, M. (2025): From Language to Cognition: How LLMs Outgrow the Human Language Network, arXiv, doi: https://arxiv.org/abs/2503.01830.
2025 de Varda, A., Malik-Moraleda, S., Tuckute, G., Fedorenko, E. (2025): Multilingual Computational Models Reveal Shared Brain Responses to 21 Languages, bioRxiv, doi: https://doi.org/10.1101/2025.02.01.636044.
2024 AlKhamissi, B., Tuckute, G., Bosselut^, A., Schrimpf^, M. (2024): The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units, Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025; *Oral), doi: https://arxiv.org/abs/2411.02280.
2024Tuckute, G. & Fedorenko, E. (2024): An abstract linguistic space for transmitting information from one mind to another, Neuron 112(18), doi: https://doi.org/10.1016/j.neuron.2024.09.005.
2024 Li, A., Tuckute, G., Fedorenko, E., Edlow, B.L., Fischl, B., Dalca, A.V. (2024): JOSA: Joint surface-based registration and atlas construction of brain geometry and function, Medical Imaging Analysis 98, doi: https://doi.org/10.1016/j.media.2024.103292.
2024Tuckute*, G., Lee*, E.J., Sathe, A., Fedorenko, E. (2024): A 3.5-minute-long reading-based fMRI localizer for the language network, bioRxiv, doi: https://doi.org/10.1101/2024.07.02.601683.
2024 AlKhamissi, B., Tuckute, G., Bosselut^, A., Schrimpf^, M. (2024): Brain-Like language processing via a shallow untrained multihead attention network, arXiv, doi: https://doi.org/10.48550/arXiv.2406.15109.
2024 BinHuraib, T., Tuckute, G., Blauch, Nicholas M. (2024): Topoformer: brain-like topographic organization in Transformer language models through spatial querying and reweighting, International Conference on Learning Representations (ICLR 2024), Re-Align Workshop, url: https://openreview.net/forum?id=3pLMzgoZSA.
2024 Kay, K., Prince, SJ., Gebhart, T., Tuckute, G., Zhou, J., Naselaris, T., Schütt, H. (2024): Disentangling signal and noise in neural responses through generative modeling, bioRXiv, doi: https://doi.org/10.1101/2024.04.22.590510.
2024Tuckute, G., Finzi, D., Margalit, E., Zylberberg, J., Chung, SY., Fyshe, A., Fedorenko, E., Kriegeskorte, N., Yates, J., Grill-Spector, K., Kar, K. (2024): How to optimize neuroscience data utilization and experiment design for advancing primate visual and linguistic brain models?, Neurons, Behavior, Data analysis, and Theory, doi: https://doi.org/10.51628/001c.127807.
2024Tuckute, 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, doi: https://doi.org/10.1038/s41562-023-01783-7.
2023Tuckute, G.*, Feather*, J., Boebinger, D., McDermott, J. (2023): Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions, PLoS Biology 21(12), doi: https://doi.org/10.1371/journal.pbio.3002366.
2023 Tucker*, M., & Tuckute*, G. (2023): Increasing Brain-LLM Alignment via Information-Theoretic Compression, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), UniReps Workshop, url: https://openreview.net/forum?id=WcfVyzzJOS.
2023 Wolf, K., Tuckute, G. , Kotar, K., Hosseini, E., Regev, E., Wilcox, E., Warstadt, A. (2023): WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words, Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), BabyLM Challenge, doi: https://doi.org/10.48550/arXiv.2312.02931.
2023 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), doi: https://doi.org/10.1162/nol_a_00116.
2022Tuckute, 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 the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, Association for Computational Linguistics (ACL), url: https://aclanthology.org/2022.naacl-demo.11.
2022 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.A., Struhl, M.K., Ivanova, A., Shannon, S., Sathe, A., Hoffmann, M., Nieto-Castañón, A., Fedorenko, E. (2022): Probabilistic atlas for the language network based on precision fMRI data from >800 individuals, Scientific Data 9(1), doi: https://doi.org/10.1038/s41597-022-01645-3.
2022Tuckute, G., Paunov, A., Kean, H., Small, H., Mineroff, Z., Blank, I.A., Fedorenko, E. (2022): 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 169, doi: https://doi.org/10.1016/j.neuropsychologia.2022.108184.
2021 Schrimpf, M., Blank, I.*, Tuckute, G.*, Kauf, C.*, Hosseini, E. A., Kanwisher, N., Tenenbaum^, J., Fedorenko^, E. (2021): The neural architecture of language: Integrative modeling converges on predictive processing, PNAS 118(45), doi: https://doi.org/10.1073/pnas.2105646118.
2021Tuckute, G., Hansen, S.T., Kjaer, Troels W., Hansen, L. K. (2021): Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback, Neural Computation 33(4), doi: https://doi.org/10.1162/neco_a_01363.
2020 Srinivasan, S. S., Tuckute, G., Zou, J., Gutierrez-Arango, S., Song, H., Barry, R. L., Herr, H (2020): AMI Amputation Preserves Proprioceptive Sensorimotor Neurophysiology, Science Translational Medicine 12(573), doi: 10.1126/scitranslmed.abc5926.
2019Tuckute, G., Hansen, S. T., Pedersen, N., Steenstrup, D., Hansen, L. K. (2019): Single Trial Decoding of Scalp EEG Under Natural Conditions, Computational Intelligence and Neuroscience 2019(1), https://doi.org/10.1155/2019/9210785.
2019Tuckute, G., Overgaard, A., Frokjaer, V. G. (2019): Chronic Paroxetine Blunts Stress Response and Normalizes Adverse Behavioral Effects Seen Acutely in Nulliparous Rats, bioRxiv, doi: https://doi.org/10.1101/687509.
2019 Grubb, S. G., Vestergaard, M. L., Koefoed, K., Mamsen, L. S., Lauridsen, K. G., Tuckute, G., Andersen, A. S., Christensen, S. T., Moellgaard, K., Calloe, K., Andersen, C. Y. (2019): Comparison of Cultured Human Cardiomyocyte Clusters Obtained from Embryos/Fetuses or Derived from Human Embryonic Stem Cells, Stem Cells and Development 28(9), doi: http://doi.org/10.1089/scd.2018.0231.
Presentations
2025 Invited talk: Artificial (& Natural) Intelligence. Newton Women's Forum. Newton, USA.
2025 Invited talk: Language in the human brain (and a bit in relation to LLMs). MIT Cognitive Science 9.012. Cambridge, USA.
2025 Invited talk: The human language network and large language models. University of California, San Diego (UCSD) COGS202. Virtual.
2025 Invited talk: Organizing dimensions of language in the brain. AI Club, Centre for Cognitive Neuroimaging, Donders Institute. Virtual.
2025 Invited talk: Organizing dimensions of language in the brain. Early Career Colloquium, Department of Cognitive Science, Johns Hopkins University. Baltimore, USA.
2025 Invited talk: The human language network and large language models. Stanford CS375/Psych249 Large-Scale Neural Network Models for Neuroscience. Palo Alto, USA.
2025 Invited talk: Organizing dimensions of language & model-based probing. Gwilliams Laboratory of Speech Neuroscience (GLySN Lab), Stanford University. Palo Alto, USA.
2025 Invited talk: A two-dimensional space of linguistic representations shared across individuals. Language, Intelligence & Thought (LIT) Lab, Georgia Tech. Virtual.
2025 Invited talk: Speeded reading robustly identifies the language network. CO-AIR: Current Opinion on Audiovisual Integration and Reading. Virtual. 🎥
2025 Invited talk: Representations and computations of language processing. Perception & Cognition Lunch, University of Minnesota. Virtual.
2024 Invited talk: Investigating language in the human brain using large language models. 2nd Symposium on Philosophy of Computing 2024. Virtual.
2024 Invited talk: From sounds to meanings in biological and artificial systems. Harvard Lab for AI & Neuroscience (Rajan Lab), Kempner Institute, Harvard University, Cambridge, USA.
2024 Invited talk: The human language network and large language models. Advanced Natural Language Processing (NLP), MIT Electrical Engineering & Computer Science (EEECS), Cambridge, USA.
2024 Invited talk: Computational models of human auditory and language processing. Speech and Audio in the Northeast (SANE) Conference 2024 at Google. Cambridge, USA. 🎥
2024 Poster: Temporal regions are the epicenter of language processing in the human brain. Conference on Cognitive Computational Neuroscience (CCN) 2024. Cambridge, USA.
2024 Invited talk: LLMs as strong learners: Applications to language neuroscience. Cognitive Science Society (CogSci) Conference 2024. In-Context Learning in Natural and Artificial Intelligence Workshop, Rotterdam, Netherlands.
2024 Invited talk: The human language network and large language models. Brown University CLPS 1950 Deep learning in brains, minds and machines. Providence, USA.
2024 Invited talk: Language in the human brain. Harvard SHBT 205 Speech and Hearing: From Neuroscience to Perception. Cambridge, USA.
2024 Invited talk: Investigating language in the human brain using large language models. Georgia Tech PSYC 3803 Models of the mind and brain. Virtual.
2024 Invited talk: The human language network and large language models. Stanford CS375/Psych249 Large-Scale Neural Network Models for Neuroscience. Palo Alto, USA.
2024 Invited talk: Computational models of human auditory and language processing. Mitsubishi Electric Research Laboratories (MERL) Seminar Series. Cambridge, USA. 🎥
2023 Poster: Increasing brain-LLM alignment via information-theoretic compression. Neural Information Processing Systems (NeurIPS) 2023, UniReps Workshop. New Orleans, USA.
2023 Invited talk: Investigating human language processing using large language models. MIT Amazon Resarch Showcase 2023. Cambridge, USA.
2023 Poster: Driving and suppressing the human language network using large language models. Society for Neurobiology of Language 2023. Marseille, France.
2023 Poster: Driving and suppressing the human language network using large language models. Neurobiology Now, Harvard Medical School & MIT McGovern 2023. American Academy of Arts & Sciences, Cambridge, USA.
2023 Invited talk: Driving and suppressing the human language network using large language models. Virtual Conference on Computational Audiology (VCCA) 2023. Virtual. 🎥 (Awarded VCCA Young Scientist Award 2023)
2023 Poster: Driving and suppressing the human language network using large language models. Conference on Cognitive Computational Neuroscience (CCN) 2023, Cambridge, USA.
2023 Invited talk: The human language network and large language models. Stanford CS375/Psych249 Large-Scale Neural Network Models for Neuroscience, Virtual.
2023 Invited talk: Understanding the human language network using large language models. MIT 9.13 The Human Brain, Cambridge, USA.
2022 Invited talk: Many but not all deep neural network audio models predict auditory cortex responses and exhibit hierarchical region correspondence. Cognitive Computational Neuroscience Unification Trial, Max Planck Institute for Human Cognitive and Brain Sciences. Virtual. 🎥
2022 Talk: Intrinsically memorable words have unique associations with their meanings. BCS CogLunch, MIT. Cambridge, USA.
2022 Talk: Optimizing data collection for model development within language. Conference on Cognitive Computational Neuroscience (CCN) 2022, San Francisco, USA. 🎥
2022 Poster: Many but not all deep neural network audio models capture brain responses and exhibit hierarchical region correspondence. Conference on Cognitive Computational Neuroscience (CCN) 2022, San Francisco, USA.
2022 Poster: SentSpace: Large-Scale Benchmarking and Evaluation of Text using Cognitively Motivated Lexical, Syntactic, and Semantic Features. Annual Conference of the North American Chapter of the Association for Computational Linguistics, Seattle, USA.
2022 Invited talk: Frontal language areas do not emerge in the absence of temporal language areas. Group meeting, Neural Basis of Communication, Aix-Marseille University. Virtual.
2022 Invited talk: Investigating language in the brain using artificial neural networks. NLP Seminar Series, University of Minnesota, Department of Computer Science and Engineering. Virtual.
2022 Poster: Many but not all deep neural network audio models predict auditory cortex responses and exhibit hierarchical layer-region correspondence. Integrative Computational Neuroscience (ICoN) Center, MIT. Cambridge, USA.
2022 Poster: Many but not all deep neural network audio models predict auditory cortex responses and exhibit hierarchical layer-region correspondence. Computational and Systems Neuroscience (COSYNE). Lisbon, Portugal.
2021 Talk: Discovering components of language processing using model-based control. BCS CogLunch, MIT. Cambridge, USA.
2021 Talk: How do frontal language areas emerge? BCS CogLunch, MIT. Cambridge, USA.
2021 Invited talk: How do frontal language areas emerge? Champions of the Brain Fellows Event, MIT. Cambridge, USA.
2021 Poster: Can we use transformer models to drive language regions in the brain? Cognitive Science Society (CogSci) Boston/Cambridge Meetup 2021. Cambridge, USA.
2020 Invited talk: Artificial neural networks as models of language processing in the brain. Center for Cognitive and Behavioral Brain Imaging, The Ohio State University. Virtual.
2020 Poster: Linguistic and conceptual processing are dissociated during sentence comprehension. Annual Society for the Neurobiology of Language Conference (SNL). Virtual.
2019 Poster: Temporal language areas appear necessary to wire up frontal cortex for language. Annual Society for the Neurobiology of Language Conference (SNL). Helsinki, Finland.
2019 Poster: Can we control attention with closed-loop EEG neurofeedback? FENS Brain Conferences, Dynamics of the brain: Temporal aspects of computation. Rungsted, Denmark.
2018 Talk: Semantic Decoding of Visual Stimuli. BCS Peer Lectures, MIT. Cambridge, USA.
2012 Poster: Sequential storage and readout of laser light in a diamond for quantum relays. University of Copenhagen, The Junior Researcher’s Project. Copenhagen, Denmark.