Below is a list of my publications (for an updated list, please see Google Scholar).
Publications
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, bioRxiv2023.05.05.539646; doi: https://doi.org/10.1101/2023.05.05.539646 .
2023Tuckute, G., Sathe, A., Srikant, S., Taliaferro, M., Wang, M., Schrimpf, M., Kay, K., Fedorenko, E. (2023): Driving and suppressing the human language network using large language models, bioRxiv2023.04.16.537080; doi: https://doi.org/10.1101/2023.04.16.537080.
2023 Li, A., Tuckute, G., Fedorenko, E., Edlow, B.L., Fischl, B., Dalca, A.V. (2023): Joint cortical registration of geometry and function using semi-supervised learning, arXiv2303.01592; doi: https://doi.org/10.48550/arXiv.2303.01592.
2022Tuckute, G.*, Feather*, J., Boebinger, D., McDermott, J. (2022): Many but not all deep neural network audio models capture brain responses and exhibit hierarchical region correspondence, bioRxiv, doi: https://doi.org/10.1101/2022.09.06.506680.
2022Tuckute, G.*, Mahowald*, K., Isola, P., Oliva, A., Gibson, E., Fedorenko, E. (2022): Intrinsically memorable words have unique associations with their meanings, PsyArXiv, doi: https://doi.org/10.31234/osf.io/p6kv9.
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, pages 99–113, Hybrid: Seattle, Washington + Online. Association for Computational Linguistics, 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), 529, 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 Vol. 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 Vol. 118, Issue 45; doi: https://doi.org/10.1073/pnas.2105646118.
2021Tuckute, G., Paunov, A., Kean, H., Small, H., Mineroff, Z., Blank, I., and 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, bioRxiv 2021.05.28.446230; doi: https://doi.org/10.1101/2021.05.28.446230.
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 Vol. 33, Issue 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, Vol. 12, Issue 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, vol. 2019, Article ID 9210785, 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 687509; 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, doi: http://doi.org/10.1089/scd.2018.0231.
Presentations
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), 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), 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. 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? Boston/Cambridge Meetup: CogSci 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.
2015 Poster: Sequential storage and readout of laser light in a diamond for quantum relays. University of Copenhagen, The Junior Researcher’s Project. Copenhagen, Denmark.