| Deconstructing procedural memory: Different learning trajectories and consolidation of sequence and statistical learning P Simor, Z Zavecz, K Horváth, N Éltető, C Török, O Pesthy, F Gombos, ... Frontiers in Psychology 9, 2708, 2019 | 84 | 2019 |
| Is procedural memory enhanced in Tourette syndrome? Evidence from a sequence learning task Á Takács, A Kobor, J Chezan, N Éltető, Z Tárnok, D Nemeth, MT Ullman, ... Cortex 100, 84-94, 2018 | 69 | 2018 |
| Reinforcement learning with simple sequence priors T Saanum, N Éltető, P Dayan, M Binz, E Schulz Advances in Neural Information Processing Systems 36, 61985-62005, 2023 | 23 | 2023 |
| Tracking human skill learning with a hierarchical Bayesian sequence model N Éltető, D Nemeth, K Janacsek, P Dayan PLoS Computational Biology 18 (11), e1009866, 2022 | 22 | 2022 |
| Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking S Wu, N Élteto, I Dasgupta, E Schulz Advances in Neural Information Processing Systems 35, 36706-36721, 2022 | 17 | 2022 |
| Do adolescents take more risks? Not when facing a novel uncertain situation N Éltető, K Janacsek, A Kobor, A Takacs, E Toth-Faber, D Nemeth Cognitive Development 50, 105-117, 2019 | 10 | 2019 |
| Chunking as a rational solution to the speed–accuracy trade-off in a serial reaction time task S Wu, N Éltető, I Dasgupta, E Schulz Scientific reports 13 (1), 7680, 2023 | 9 | 2023 |
| Centaur: a foundation model of human cognition M Binz, E Akata, M Bethge, F Brändle, F Callaway, J Coda-Forno, ... arXiv preprint arXiv:2410.20268, 2024 | 6 | 2024 |
| Habits of mind: Reusing action sequences for efficient planning N Éltető, P Dayan arXiv preprint arXiv:2306.05298, 2023 | 6 | 2023 |
| Deterministic and probabilistic regularities underlying risky choices are acquired in a changing decision context A Kóbor, E Tóth-Fáber, Z Kardos, Á Takács, N Éltető, K Janacsek, ... Scientific reports 13 (1), 1127, 2023 | 3 | 2023 |
| Adaptation to recent outcomes attenuates the lasting effect of initial experience on risky decisions A Kóbor, Z Kardos, Á Takács, N Éltető, K Janacsek, E Tóth-Fáber, ... Scientific reports 11 (1), 10132, 2021 | 3 | 2021 |
| E pluribus unum but how? Chunking as a rational solution to the speed-accuracy trade-off S Wu, N Éltető, I Dasgupta, E Schulz OSF, 2022 | 2 | 2022 |
| Discovering Symbolic Cognitive Models from Human and Animal Behavior PS Castro, N Tomasev, A Anand, N Sharma, R Mohanta, A Dev, K Perlin, ... bioRxiv, 2025.02. 05.636732, 2025 | | 2025 |
| Variable syllable context depth in Bengalese finch songs: A Bayesian sequence model N Éltetö, L Veit, A Koparkar, P Dayan Computational and Systems Neuroscience Meeting (COSYNE 2023), 217-218, 2023 | | 2023 |
| Hierarchically structured representations facilitate visual understanding P Schwartenbeck, N Éltetö, A Braun, M Bányai, P Dayan 5th Multidisciplinary Conference on Reinforcement Learning and Decision …, 2022 | | 2022 |
| Tracking the Unknown: Modeling Long-Term Implicit Skill Acquisition as Non-Parametric Bayesian Sequence Learning N Elteto, D Nemeth, K Janacsek, P Dayan Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | | 2021 |
| Age-related differences in the underlying mechanisms of temporal statistical learning N Elteto, K Janacsek, D Nemeth 25th Annual Meeting of the Cognitive Neuroscience Society (CNS 2018), 83, 2018 | | 2018 |
| Does statistical learning contribute to decision making under uncertainty? N Éltetö, K Janacsek, A Kóbor, Á Takács, D Nemeth | | 2016 |
| Probabilistic sequence learning in Tourette-syndrome Á Takács, A Kóbor, K Janacsek, S Yuval, J Chezan, N Éltetö, Z Tárnok, ... | | 2006 |
| E pluribus unum but how S Wu, N Éltetö, I Dasgupta, E Schulz Chunking as a rational solution to the speed-accuracy trade-off, 0 | | |
Dezső NÉMETHCRNL, INSERM, Lyon, France and UNAM GCПотвърден имейл адрес: inserm.fr