Greta Tuckute

发表

The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing

Nancy Kanwisher, Carina Kauf, Martin Schrimpf, 2020 .

SentSpace: Large-Scale Benchmarking and Evaluation of Text using Cognitively Motivated Lexical, Syntactic, and Semantic Features

Evelina Fedorenko, Cory Shain, H. Yoder, 2022, North American Chapter of the Association for Computational Linguistics.

Agonist-antagonist myoneural interface amputation preserves proprioceptive sensorimotor neurophysiology in lower limbs

Shriya S. Srinivasan, H. Herr, S. Srinivasan, 2020, Science Translational Medicine.

Probabilistic atlas for the language network based on precision fMRI data from >800 individuals

Hope H. Kean, Alvince L. Pongos, Anna A. Ivanova, 2022, Scientific Data.

Many but not all deep neural network audio models capture brain responses and exhibit hierarchical region correspondence

Josh H. McDermott, J. Feather, Dana Boebinger, 2022 .

The neural architecture of language: Integrative modeling converges on predictive processing

Eghbal A. Hosseini, J. Tenenbaum, N. Kanwisher, 2020, Proceedings of the National Academy of Sciences.

LanA (Language Atlas): A probabilistic atlas for the language network based on fMRI data from >800 individuals

Hope H. Kean, Alvince L. Pongos, Anna A. Ivanova, 2022, bioRxiv.

Artificial Neural Networks Accurately Predict Language Processing in the Brain

Nancy Kanwisher, Carina Kauf, Martin Schrimpf, 2020 .

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

Hope H. Kean, Evelina Fedorenko, I. Blank, 2021, Neuropsychologia.

Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions

Josh H. McDermott, J. Feather, Dana Boebinger, 2023, bioRxiv.

The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing

Eghbal A. Hosseini, J. Tenenbaum, N. Kanwisher, 2020 .

Lexical semantic content, not syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language network

Jacob Andreas, Evelina Fedorenko, R. Levy, 2023, bioRxiv.

Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback

Lars Kai Hansen, Sofie Therese Hansen, L. K. Hansen, 2021, Neural Computation.

A framework for closed-loop neurofeedback for real-time EEG decoding

Lars Kai Hansen, Sofie Therese Hansen, L. K. Hansen, 2019 .

Driving and suppressing the human language network using large language models

Evelina Fedorenko, Kendrick Norris Kay, Shashank Srikant, 2023, bioRxiv.

Joint cortical registration of geometry and function using semi-supervised learning

Adrian V. Dalca, Jun Yu Li, B. Fischl, 2023, arXiv.org.

Single-Trial Decoding of Scalp EEG under Natural Conditions

Nicolai Pedersen, Lars Kai Hansen, Sofie Therese Hansen, 2019, Comput. Intell. Neurosci..

Single-Trial Decoding of Scalp EEG Under Naturalistic Stimuli

Nicolai Pedersen, Lars Kai Hansen, Sofie Therese Hansen, 2018, bioRxiv.

Driving and suppressing the human language network using large language models

Evelina Fedorenko, Kendrick Norris Kay, Shashank Srikant, 2023, bioRxiv.

Many but not All Deep Neural Network Audio Models Predict Auditory Cortex Responses and Exhibit Hierarchical Layer-Region Correspondence

Josh H. McDermott, J. Feather, Dana Boebinger, 2022, 2022 Conference on Cognitive Computational Neuroscience.

Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions

Josh H. McDermott, J. Feather, Dana Boebinger, 2023, bioRxiv.

Joint cortical registration of geometry and function using semi-supervised learning

Evelina Fedorenko, B. Edlow, Greta Tuckute, 2023, ArXiv.

Driving and suppressing the human language network using large language models

Evelina Fedorenko, Kendrick Norris Kay, Shashank Srikant, 2023, bioRxiv.

Driving and suppressing the human language network using large language models

Evelina Fedorenko, Shashank Srikant, Martin Schrimpf, 2024, Nature human behaviour.

Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network

Evelina Fedorenko, Greta Tuckute, Carina Kauf, 2023, Neurobiology of language.

Disentangling signal and noise in neural responses through generative modeling

Jacob S. Prince, Thomas Naselaris, Greta Tuckute, 2024, bioRxiv.

How to optimize neuroscience data utilization and experiment design for advancing primate visual and linguistic brain models?

K. Grill-Spector, N. Kriegeskorte, Evelina Fedorenko, 2024, 2401.03376.