Statistically induced chunking recall: A memory‐based approach to statistical learning ES Isbilen, SM McCauley, E Kidd, MH Christiansen Cognitive science 44 (7), e12848, 2020 | 85 | 2020 |
Testing statistical learning implicitly: A novel chunk-based measure of statistical learning ES Isbilen, SM McCauley, E Kidd, MH Christiansen The 39th Annual Conference of the Cognitive Science Society (CogSci 2017 …, 2017 | 63 | 2017 |
Affective arousal links sound to meaning A Aryani, ES Isbilen, MH Christiansen Psychological science 31 (8), 978-986, 2020 | 50 | 2020 |
The color of music: Emotion-mediated associations to Bach’s Well-tempered Clavier. ES Isbilen, CL Krumhansl Psychomusicology: Music, Mind, and Brain 26 (2), 149, 2016 | 46 | 2016 |
Individual differences in artificial and natural language statistical learning ES Isbilen, SM McCauley, MH Christiansen Cognition 225, 105123, 2022 | 44 | 2022 |
Statistical learning of language: A meta‐analysis into 25 years of research ES Isbilen, MH Christiansen Cognitive Science 46 (9), e13198, 2022 | 41 | 2022 |
Chunk‐based memory constraints on the cultural evolution of language ES Isbilen, MH Christiansen Topics in cognitive science 12 (2), 713-726, 2020 | 40 | 2020 |
Chunking Ability Shapes Sentence Processing at Multiple Levels of Abstraction. SM McCauley, ES Isbilen, MH Christiansen CogSci, 2017 | 37 | 2017 |
Measuring children’s auditory statistical learning via serial recall E Kidd, J Arciuli, MH Christiansen, ES Isbilen, K Revius, M Smithson Journal of Experimental Child Psychology 200, 104964, 2020 | 34 | 2020 |
The color of music: Emotion-mediated associations to Bach’s Well-tempered Clavier. Psychomusicology: Music, Mind, and Brain, 26 (2), 149–161 ES Isbilen, CL Krumhansl | 15 | 2016 |
Bridging artificial and natural language learning: Comparing processing-and reflection-based measures of learning. E Isbilen, RLA Frost, P Monaghan, MH Christiansen Proceedings of the 40th annual conference of the Cognitive Science Society …, 2018 | 13 | 2018 |
Statistically based chunking of nonadjacent dependencies. ES Isbilen, RLA Frost, P Monaghan, MH Christiansen Journal of Experimental Psychology: General 151 (11), 2623, 2022 | 10 | 2022 |
Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalisation across domains RLA Frost, ES Isbilen, MH Christiansen, P Monaghan The 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), 1787 …, 2019 | 6 | 2019 |
It's about time: Adding processing to neuroemergentism ES Isbilen, MH Christiansen, N Chater Journal of Neurolinguistics 49, 224-227, 2019 | 1 | 2019 |
Audiotory statistical learning rapidly supports the processing of larger linguistic chunks across early childhood E Kidd, J Arciuli, M Smithson, E Isbilen, M Christiansen Architectures and Mechanisms for Language Processing (AMLaP 2018), 2018 | 1 | 2018 |
Memory representations are flexibly adapted to orthographic systems: A comparison of English and Hebrew ES Isbilen, A Laver, N Siegelman, RN Aslin Brain Research 1844, 149127, 2024 | | 2024 |
Investigating human prediction: sequence termination provides insights into predictive statistics IN Treves, G Raz, E Isbilen, J Gabrieli, P Sinha PsyArXiv, 2021 | | 2021 |
Statistical learning as chunking: Domain general computations in language acquisition ES Isbilen Cornell University, 2021 | | 2021 |
Prediction of Probabilistic Sequences (POPS) IN Treves, E Isbilen, P Sinha, J Gabrieli OSF, 2020 | | 2020 |
Chunk-based statistical learning of non-adjacent dependencies ES Isbilen, RLA Frost, P Monaghan, MH Christiansen the International Conference on Interdisciplinary Advances in Statistical …, 2019 | | 2019 |