Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Tuckute, Greta"'
Large language models (LLMs) exhibit remarkable capabilities on not just language tasks, but also various tasks that are not linguistic in nature, such as logical reasoning and social inference. In the human brain, neuroscience has identified a core
Externí odkaz:
http://arxiv.org/abs/2411.02280
Large Language Models (LLMs) have been shown to be effective models of the human language system, with some models predicting most explainable variance of brain activity in current datasets. Even in untrained models, the representations induced by ar
Externí odkaz:
http://arxiv.org/abs/2406.15109
Autor:
Tuckute, Greta, Finzi, Dawn, Margalit, Eshed, Zylberberg, Joel, Chung, SueYeon, Fyshe, Alona, Fedorenko, Evelina, Kriegeskorte, Nikolaus, Yates, Jacob, Grill-Spector, Kalanit, Kar, Kohitij
In recent years, neuroscience has made significant progress in building large-scale artificial neural network (ANN) models of brain activity and behavior. However, there is no consensus on the most efficient ways to collect data and design experiment
Externí odkaz:
http://arxiv.org/abs/2401.03376
Autor:
Wolf, Lukas, Tuckute, Greta, Kotar, Klemen, Hosseini, Eghbal, Regev, Tamar, Wilcox, Ethan, Warstadt, Alex
Training on multiple modalities of input can augment the capabilities of a language model. Here, we ask whether such a training regime can improve the quality and efficiency of these systems as well. We focus on text--audio and introduce Whisbert, wh
Externí odkaz:
http://arxiv.org/abs/2312.02931
Autor:
Li, Jian, Tuckute, Greta, Fedorenko, Evelina, Edlow, Brian L., Dalca, Adrian V., Fischl, Bruce
Surface-based cortical registration is an important topic in medical image analysis and facilitates many downstream applications. Current approaches for cortical registration are mainly driven by geometric features, such as sulcal depth and curvature
Externí odkaz:
http://arxiv.org/abs/2311.08544
Autor:
Li, Jian, Tuckute, Greta, Fedorenko, Evelina, Edlow, Brian L., Fischl, Bruce, Dalca, Adrian V.
Brain surface-based image registration, an important component of brain image analysis, establishes spatial correspondence between cortical surfaces. Existing iterative and learning-based approaches focus on accurate registration of folding patterns
Externí odkaz:
http://arxiv.org/abs/2303.01592
Autor:
Li, Jian, Tuckute, Greta, Fedorenko, Evelina, Edlow, Brian L., Dalca, Adrian V., Fischl, Bruce
Publikováno v:
In Medical Image Analysis December 2024 98
Autor:
Schrimpf, Martin, Blank, Idan Asher, Tuckute, Greta, Kauf, Carina, Hosseini, Eghbal A., Kanwisher, Nancy, Tenenbaum, Joshua B., Fedorenko, Evelina
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Nov 01. 118(45), 1-12.
Externí odkaz:
https://www.jstor.org/stable/27093649
Autor:
Tuckute, Greta1,2 (AUTHOR) gretatu@mit.edu, Feather, Jenelle1,2 (AUTHOR) gretatu@mit.edu, Boebinger, Dana1,2,3,4 (AUTHOR), McDermott, Josh H.1,2,3 (AUTHOR) gretatu@mit.edu
Publikováno v:
PLoS Biology. 12/13/2023, Vol. 21 Issue 12, p1-70. 70p.
Autor:
Tuckute, Greta, Paunov, Alexander, Kean, Hope, Small, Hannah, Mineroff, Zachary, Blank, Idan, Fedorenko, Evelina
Publikováno v:
In Neuropsychologia 3 May 2022 169