Leila Wehbe
Leila Wehbe
Verified email at - Homepage
Cited by
Cited by
Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses
L Wehbe, B Murphy, P Talukdar, A Fyshe, A Ramdas, T Mitchell
PloS one 9 (11), e112575, 2014
Tracking neural coding of perceptual and semantic features of concrete nouns
G Sudre, D Pomerleau, M Palatucci, L Wehbe, A Fyshe, R Salmelin, ...
NeuroImage 62 (1), 451-463, 2012
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
M Toneva, L Wehbe
Advances in neural information processing systems 32, 2019
Aligning context-based statistical models of language with brain activity during reading
L Wehbe, A Vaswani, K Knight, T Mitchell
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
A compositional and interpretable semantic space
A Fyshe, L Wehbe, P Talukdar, B Murphy, T Mitchell
Proceedings of the 2015 conference of the north american chapter of the …, 2015
Inducing brain-relevant bias in natural language processing models
D Schwartz, M Toneva, L Wehbe
Advances in neural information processing systems 32, 2019
The lexical semantics of adjective–noun phrases in the human brain
A Fyshe, G Sudre, L Wehbe, N Rafidi, TM Mitchell
Human brain mapping 40 (15), 4457-4469, 2019
Incremental language comprehension difficulty predicts activity in the language network but not the multiple demand network
L Wehbe, IA Blank, C Shain, R Futrell, R Levy, T von der Malsburg, ...
Cerebral Cortex 31 (9), 4006-4023, 2021
Combining computational controls with natural text reveals aspects of meaning composition
M Toneva, TM Mitchell, L Wehbe
Nature Computational Science 2 (11), 745-757, 2022
Neural taskonomy: Inferring the similarity of task-derived representations from brain activity
A Wang, M Tarr, L Wehbe
Advances in Neural Information Processing Systems 32, 2019
Can fMRI reveal the representation of syntactic structure in the brain?
AJ Reddy, L Wehbe
Advances in Neural Information Processing Systems 34, 9843-9856, 2021
Decoding language from the brain
B Murphy, L Wehbe, A Fyshe
Language, cognition, and computational models, 53-80, 2018
Regularized brain reading with shrinkage and smoothing
L Wehbe, A Ramdas, RC Steorts, CR Shalizi
The annals of applied statistics 9 (4), 1997, 2015
Nonparametric independence testing for small sample sizes
A Ramdas, L Wehbe
24th International Conference on Artificial Intelligence, 3777-3783, 2015
Modeling task effects on meaning representation in the brain via zero-shot meg prediction
M Toneva, O Stretcu, B Póczos, L Wehbe, TM Mitchell
Advances in Neural Information Processing Systems 33, 5284-5295, 2020
Selectivity for food in human ventral visual cortex
N Jain, A Wang, MM Henderson, R Lin, JS Prince, MJ Tarr, L Wehbe
Communications Biology 6 (1), 175, 2023
A deep learning model for automated classification of intraoperative continuous emg
X Zha, L Wehbe, RJ Sclabassi, Z Mace, YV Liang, A Yu, J Leonardo, ...
IEEE transactions on medical robotics and bionics 3 (1), 44-52, 2020
Same cause; different effects in the brain
M Toneva, J Williams, A Bollu, C Dann, L Wehbe
arXiv preprint arXiv:2202.10376, 2022
High-level visual areas act like domain-general filters with strong selectivity and functional specialization
M Khosla, L Wehbe
bioRxiv, 2022.03. 16.484578, 2022
Semantic representations during language comprehension are affected by context
F Deniz, C Tseng, L Wehbe, TD la Tour, JL Gallant
Journal of Neuroscience 43 (17), 3144-3158, 2023
The system can't perform the operation now. Try again later.
Articles 1–20