Leila Wehbe
Leila Wehbe
Verifierad e-postadress på cmu.edu - Startsida
Citeras av
Citeras av
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
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
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
Decoding language from the brain
B Murphy, L Wehbe, A Fyshe
Language, cognition, and computational models, 53-80, 2018
Can fMRI reveal the representation of syntactic structure in the brain?
AJ Reddy, L Wehbe
Advances in Neural Information Processing Systems 34, 2021
Combining computational controls with natural text reveals new aspects of meaning composition
M Toneva, TM Mitchell, L Wehbe
bioRxiv, 2020
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
Decoding word semantics from magnetoencephalography time series transformations
A Fyshe, G Sudre, L Wehbe, B Murphy, T Mitchell
Proceedings of the 3rd Workshop on Machine Learning and Inference in …, 2012
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
Self-discriminative learning for unsupervised document embedding
HY Chen, CH Hu, L Wehbe, SD Lin
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
The Time and Location of Natural Reading Processes in the Brain
L Wehbe
Ph. D. Dissertation, 2015
Same cause; different effects in the brain
M Toneva, J Williams, A Bollu, C Dann, L Wehbe
arXiv preprint arXiv:2202.10376, 2022
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Artiklar 1–20