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Noémi Éltető
Noémi Éltető
PhD student, Max Planck Institute for Biological Cybernetics
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Deconstructing procedural memory: Different learning trajectories and consolidation of sequence and statistical learning
P Simor, Z Zavecz, N Éltető, C Török, O Pesthy, F Gombos, K Janacsek, ...
Frontiers in Psychology 9, 411533, 2019
772019
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
592018
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
112022
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
92022
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
82019
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
32023
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
32021
Reinforcement learning with simple sequence priors
T Saanum, N Éltető, P Dayan, M Binz, E Schulz
Advances in Neural Information Processing Systems 36, 2024
22024
Habits of mind: Reusing action sequences for efficient planning
N Éltető, P Dayan
arXiv preprint arXiv:2306.05298, 2023
22023
E pluribus unum but how? Chunking as a rational solution to the speed-accuracy trade-off
S Wu, N Elteto, I Dasgupta, E Schulz
PsyArXiv, 2022
22022
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
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
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
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, ...
2021
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
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Articles 1–19