Publikationen von N Éltetö

Zeitschriftenartikel (5)

1.
Zeitschriftenartikel
Éltetö, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. PLoS Computational Biology 18 (11), e1009866 (2022)
2.
Zeitschriftenartikel
Kóbor, A.; Kardos, Z.; Takács, Á.; Éltetö, N.; Janacsek, K.; Tóth-Fáber, E.; Csépe, V.; Nemeth, D.: Adaptation to recent outcomes attenuates the lasting effect of initial experience on risky decisions. Scientific Reports 11 (1), 10132, S. 1 - 20 (2021)
3.
Zeitschriftenartikel
Éltetö, N.; Janacsek, K.; Kóbor, A.; Takács, Á.; Tóth-Fáber, E.; Németh, D.: Do adolescents take more risks? Not when facing a novel uncertain situation. Cognitive Development 50, S. 105 - 117 (2019)
4.
Zeitschriftenartikel
Simor, P.; Zavecz, Z.; Horváth, K.; Éltetö, N.; Török, C.; Pesthy, O.; Gombos, F.; Janacsek, K.; Nemeth, D.: Deconstructing Procedural Memory: Different Learning Trajectories and Consolidation of Sequence and Statistical Learning. Frontiers in Psychology 9, 2708, S. 1 - 18 (2019)
5.
Zeitschriftenartikel
Takács, Á.; Kóbor, A.; Chezan, J.; Éltetö, N.; Tárnok, Z.; Nemeth, D.; Ullman, M.; Janacsek, K.: Is procedural memory enhanced in Tourette syndrome? Evidence from a sequence learning task. Cortex 100, S. 84 - 94 (2018)

Konferenzbeitrag (2)

6.
Konferenzbeitrag
Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, 28. November 2022 - 09. Dezember 2022. (angenommen)
7.
Konferenzbeitrag
Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Tenth International Conference on Learning Representations (ICLR 2022). Tenth International Conference on Learning Representations (ICLR 2022), 25. April 2022 - 29. April 2022. (2022)

Meeting Abstract (2)

8.
Meeting Abstract
Éltetö, N.; Janacsek, K.; Kóbor, A.; Takács, Á.; Nemeth, D.: Does statistical learning contribute to decision making under uncertainty? In 6th International Conference on Memory (ICOM-6), A-0856, S. 171. 6th International Conference on Memory (ICOM-6) , Budapest, Hungary, 17. Juli 2016 - 22. Juli 2016. (2016)
9.
Meeting Abstract
Takács, Á.; Kóbor, A.; Janacsek, K.; Yuval, S.; Chezan, J.; Éltetö, N.; Tárnok, Z.; Tremblay, A.; Ullman, M.; Nemeth, D.: Probabilistic sequence learning in Tourette-syndrome. In 6th International Conference on Memory (ICOM-6), A-0632, S. 30. 6th International Conference on Memory (ICOM-6), Budapest, Hungary, 17. Juli 2016 - 22. Juli 2016. (2006)

Poster (7)

10.
Poster
Éltetö, N.; Németh, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. 23rd Conference of Junior Neuroscientists (NeNa 2022), Bad Urach, Germany (2022)
11.
Poster
Schwartenbeck, P.; Éltetö, N.; Braun, A.; Bányai, M.; Dayan, P.: Hierarchically structured representations facilitate visual understanding. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)
12.
Poster
Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
13.
Poster
Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking the Unknown: Modeling Long-Term Implicit Skill Acquisition as Non-Parametric Bayesian Sequence Learning. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)
14.
Poster
Wu, S.; Elteto, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)
15.
Poster
Elteto, N.; Janacsek, K.; Nemeth, D.: Age-related differences in the underlying mechanisms of temporal statistical learning. 25th Annual Meeting of the Cognitive Neuroscience Society (CNS 2018), Boston, MA, USA (2018)
16.
Poster
Zavecz, Z.; Horváth, K.; Pesthy, O.; Éltetö, N.; Janacsek, K.; Nemeth, D.: The effect of transcranial alternating current stimulation on probabilistic learning. 6th International Conference on Transcranial Brain Stimulation, Göttingen, Germany (2017)

Preprint (2)

17.
Preprint
Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: E pluribus unum but how? Chunking as a rational solution to the speed-accuracy trade-off. (eingereicht)
18.
Preprint
Kóbor, A.; Tóth-Fáber, E.; Kardos, Z.; Takács , Á.; Éltetö, N.; Janacsek, K.; Csépe, V.; Nemeth, D.: Simple deterministic and complex probabilistic regularities underlying risky choices are acquired in a changing decision context. (eingereicht)
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