| The neural architecture of language: Integrative modeling converges on predictive processing M Schrimpf, IA Blank, G Tuckute, C Kauf, EA Hosseini, N Kanwisher, ... Proceedings of the National Academy of Sciences 118 (45), e2105646118, 2021 | 437* | 2021 |
| Probabilistic atlas for the language network based on precision fMRI data from> 800 individuals B Lipkin, G Tuckute, J Affourtit, H Small, Z Mineroff, H Kean, O Jouravlev, ... Scientific Data 9 (1), 1-10, 2022 | 45 | 2022 |
| Agonist-antagonist myoneural interface amputation preserves proprioceptive sensorimotor neurophysiology in lower limbs SS Srinivasan, G Tuckute, J Zou, S Gutierrez-Arango, H Song, RL Barry, ... Science translational medicine 12 (573), eabc5926, 2020 | 34 | 2020 |
| Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions G Tuckute, J Feather, D Boebinger, JH McDermott PLoS biology 21 (12), e3002366, 2023 | 28* | 2023 |
| Driving and suppressing the human language network using large language models G Tuckute, A Sathe, S Srikant, M Taliaferro, M Wang, M Schrimpf, K Kay, ... Nature Human Behavior, 2024 | 25 | 2024 |
| 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 G Tuckute, A Paunov, H Kean, H Small, Z Mineroff, I Blank, E Fedorenko Neuropsychologia 169, 108184, 2022 | 18 | 2022 |
| Lexical semantic content, not syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language network C Kauf, G Tuckute, RP Levy, J Andreas, E Fedorenko Neurobiology of Language, 1-81, 2023 | 15 | 2023 |
| Single Trial Decoding of Scalp EEG Under Natural Conditions G Tuckute, ST Hansen, N Pedersen, D Steenstrup, LK Hansen Computational Intelligence and Neuroscience 2019 (Article ID 9210785), 11 Pages, 2019 | 13* | 2019 |
| Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback G Tuckute, ST Hansen, TW Kjaer, LK Hansen Neural Computation 33 (4), 967-1004, 2021 | 12 | 2021 |
| SentSpace: Large-Scale Benchmarking and Evaluation of Text using Cognitively Motivated Lexical, Syntactic, and Semantic Features G Tuckute, A Sathe, M Wang, H Yoder, C Shain, E Fedorenko Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 7 | 2022 |
| LanA (Language Atlas): A probabilistic atlas for the language network based on fMRI data from> 800 individuals (p. 2022.03. 06.483177) B Lipkin, G Tuckute, J Affourtit, H Small, Z Mineroff, H Kean, O Jouravlev, ... bioRxiv, 2022 | 6 | 2022 |
| Comparison of cultured human cardiomyocyte clusters obtained from embryos/fetuses or derived from human embryonic stem cells S Grubb, ML Vestergaard, AS Andersen, KK Rasmussen, LS Mamsen, ... Stem cells and development 28 (9), 608-619, 2019 | 3 | 2019 |
| Joint cortical registration of geometry and function using semi-supervised learning J Li, G Tuckute, E Fedorenko, BL Edlow, B Fischl, AV Dalca Medical Imaging with Deep Learning, 862-876, 2024 | 2 | 2024 |
| WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words L Wolf, G Tuckute, K Kotar, E Hosseini, T Regev, E Wilcox, A Warstadt arXiv preprint arXiv:2312.02931, 2023 | 2 | 2023 |
| Intrinsically memorable words have unique associations with their meanings G Tuckute, K Mahowald, P Isola, A Oliva, E Gibson, E Fedorenko PsyArXiv, 2022 | 2* | 2022 |
| Topoformer: brain-like topographic organization in Transformer language models through spatial querying and reweighting TOA Binhuraib, G Tuckute, N Blauch ICLR 2024 Workshop on Representational Alignment, 2024 | | 2024 |
| How to optimize neuroscience data utilization and experiment design for advancing primate visual and linguistic brain models? G Tuckute, D Finzi, E Margalit, J Zylberberg, SY Chung, A Fyshe, ... arXiv preprint arXiv:2401.03376, 2024 | | 2024 |
| Increasing Brain-LLM Alignment via Information-Theoretic Compression M Tucker, G Tuckute UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | | 2023 |
| JOSA: Joint surface-based registration with atlas construction enables accurate alignment of the brain geometry and function. J Li, G Tuckute, E Fedorenko, BL Edlow, AV Dalca, B Fischl Arxiv, arXiv: 2303.01592 v3-arXiv: 2303.01592 v3, 2023 | | 2023 |
| Context-sensitive features predict sentence memorability in the absence of memorable words T Clark, G Tuckute, B Medina, E Fedorenko Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | | 2023 |
Evelina (Ev) FedorenkoMIT, Associate ProfessorDirección de correo verificada de mit.edu
