Evelina Fedorenko
Orcid: 0000-0003-3823-514XAffiliations:
- Massachusetts Institute of Technology, USA
According to our database1,
Evelina Fedorenko
authored at least 38 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
JOSA: Joint surface-based registration and atlas construction of brain geometry and function.
Medical Image Anal., 2024
Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models.
CoRR, 2024
Comparing Plausibility Estimates in Base and Instruction-Tuned Large Language Models.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely.
Cogn. Sci., November, 2023
Program Comprehension Does Not Primarily Rely On the Language Centers of the Human Brain.
CoRR, 2023
CoRR, 2023
Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Context-sensitive features predict sentence memorability in the absence of memorable words.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
A fine-grained comparison of pragmatic language understanding in humans and language models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Interpretability of artificial neural network models in artificial intelligence versus neuroscience.
Nat. Mac. Intell., December, 2022
Grammatical cues are largely, but not completely, redundant with word meanings in natural language.
CoRR, 2022
Convergent Representations of Computer Programs in Human and Artificial Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions.
Lang. Resour. Evaluation, 2021
2020
No evidence for differences among language regions in their temporal receptive windows.
NeuroImage, 2020
2018
Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings.
CoRR, 2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
2017
An asymmetrical relationship between verbal and visual thinking: Converging evidence from behavior and fMRI.
NeuroImage, 2017
Syntactic Complexity Effects in Sentence Production: A Reply to MacDonald, Montag, and Gennari (2016).
Cogn. Sci., 2017
2016
Reliable individual-level neural markers of high-level language processing: A necessary precursor for relating neural variability to behavioral and genetic variability.
NeuroImage, 2016
Cogn. Sci., 2016
2015
A Pragmatic Account of Complexity in Definite Antecedent-Contained-Deletion Relative Clauses.
J. Semant., 2015
2013
Direct Evidence of Memory Retrieval as a Source of Difficulty in Non-Local Dependencies in Language.
Cogn. Sci., 2013
2012
Subject-specific functional localizers increase sensitivity and functional resolution of multi-subject analyses.
NeuroImage, 2012
An algorithmic method for functionally defining regions of interest in the ventral visual pathway.
NeuroImage, 2012
2011
Functionally Localizing Language-Sensitive Regions in Individual Subjects With fMRI: A Reply to Grodzinsky's Critique of Fedorenko and Kanwisher (2009).
Lang. Linguistics Compass, 2011
Some Regions within Broca's Area <i>Do</i> Respond More Strongly to Sentences than to Linguistically Degraded Stimuli: A Comment on Rogalsky and Hickok ().
J. Cogn. Neurosci., 2011
Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011
2009
Lang. Linguistics Compass, 2009
2003
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003