| 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 | 323 | 2014 |
| 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 | 213 | 2019 |
| 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 | 168 | 2012 |
| 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 | 126 | 2014 |
| Inducing brain-relevant bias in natural language processing models D Schwartz, M Toneva, L Wehbe Advances in neural information processing systems 32, 2019 | 85 | 2019 |
| 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 | 76 | 2015 |
| 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 | 63 | 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 | 52 | 2022 |
| 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 | 51 | 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 | 44* | 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 | 43 | 2019 |
| Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset AY Wang, K Kay, T Naselaris, MJ Tarr, L Wehbe Nature Machine Intelligence 5 (12), 1415-1426, 2023 | 41* | 2023 |
| 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 | 32* | 2023 |
| Computational language modeling and the promise of in silico experimentation S Jain, VA Vo, L Wehbe, AG Huth Neurobiology of Language 5 (1), 80-106, 2024 | 23 | 2024 |
| 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 | 22 | 2020 |
| 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 | 20 | 2020 |
| 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 | 18 | 2023 |
| Decoding language from the brain B Murphy, L Wehbe, A Fyshe Language, cognition, and computational models, 53-80, 2018 | 18 | 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 | 17 | 2015 |
| Nonparametric independence testing for small sample sizes A Ramdas, L Wehbe 24th International Conference on Artificial Intelligence, 3777-3783, 2015 | 16* | 2015 |
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
