Abstract knowledge versus direct experience in processing of binomial expressions E Morgan, R Levy Cognition 157, 384-402, 2016 | 83 | 2016 |
Neural evidence for Bayesian trial-by-trial adaptation on the N400 during semantic priming N Delaney-Busch, E Morgan, E Lau, GR Kuperberg Cognition 187, 10-20, 2019 | 67 | 2019 |
Exploring cognitive relations between prediction in language and music AD Patel, E Morgan Cognitive Science 41, 303-320, 2017 | 60 | 2017 |
Statistical learning and Gestalt-like principles predict melodic expectations E Morgan, A Fogel, A Nair, AD Patel Cognition 189, 23-34, 2019 | 55 | 2019 |
A theory of dual channel constraints C Casalnuovo, ET Barr, SK Dash, P Devanbu, E Morgan Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 29 | 2020 |
Comprehenders Rationally Adapt Semantic Predictions to the Statistics of the Local Environment: a Bayesian Model of Trial-by-Trial N400 Amplitudes. N Delaney-Busch, E Morgan, EF Lau, GR Kuperberg CogSci, 2017 | 26 | 2017 |
Large language models and simple, stupid bugs K Jesse, T Ahmed, PT Devanbu, E Morgan 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 24 | 2023 |
Modeling idiosyncratic preferences: How generative knowledge and expression frequency jointly determine language structure. E Morgan, R Levy CogSci, 2015 | 18 | 2015 |
Do programmers prefer predictable expressions in code? C Casalnuovo, K Lee, H Wang, P Devanbu, E Morgan Cognitive science 44 (12), e12921, 2020 | 16 | 2020 |
Frequency-dependent regularization in iterated learning E Morgan, R Levy The evolution of language: proceedings of the 11th international conference …, 2016 | 12 | 2016 |
Layered Hybrid Lead Iodide Perovskites with Short Interlayer Distances L Mao, EE Morgan, A Li, RM Kennard, MJ Hong, Y Liu, CJ Dahlman, ... ACS Energy Letters 7 (8), 2801-2806, 2022 | 10 | 2022 |
A bottom-up parsing model of local coherence effects E Morgan, F Keller, M Steedman Proceedings of the Annual Meeting of the Cognitive Science Society 32 (32), 2010 | 10 | 2010 |
Lexical diversity in an L2 Spanish learner corpus: The effect of topic-related variables P Fernández-Mira, E Morgan, S Davidson, A Yamada, A Carando, ... International Journal of Learner Corpus Research 7 (2), 230-258, 2021 | 9 | 2021 |
Does surprisal predict code comprehension difficulty C Casalnuovo, E Morgan, P Devanbu Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 2020 | 9 | 2020 |
Pitches that wire together fire together: Scale degree associations across time predict melodic expectations NJ Verosky, E Morgan Cognitive science 45 (10), e13037, 2021 | 8 | 2021 |
A theory of dual channel constraints. In 2020 IEEE/ACM 42nd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER) C Casalnuovo, ET Barr, SK Dash, P Devanbu, E Morgan IEEE, 25ś28, 2020 | 7 | 2020 |
Generative and item-specific knowledge of language EIP Morgan University of California, San Diego, 2016 | 7 | 2016 |
Multiple predictions during language comprehension: Friends, foes, or indifferent companions? T Brothers, E Morgan, A Yacovone, G Kuperberg Cognition 241, 105602, 2023 | 6 | 2023 |
Large Language Models and Simple, Stupid Bugs. In 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR). 563–575 K Jesse, T Ahmed, PT Devanbu, E Morgan | 5 | 2023 |
Do people prefer" natural" code? C Casalnuovo, K Lee, H Wang, P Devanbu, E Morgan arXiv preprint arXiv:1910.03704, 2019 | 5 | 2019 |