Прати
David G. Nagy
David G. Nagy
University of Tübingen, Max Planck Institute for Biological Cybernetics
Верификована је имејл адреса на tuebingen.mpg.de - Почетна страница
Наслов
Навело
Навело
Година
Episodic memory as a prerequisite for online updates of model structure
DG Nagy, G Orban
Proceedings of the Annual Meeting of the Cognitive Science Society 38, 2016
472016
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
T Flesch, DG Nagy, A Saxe, C Summerfield
PLoS computational biology 19 (1), e1010808, 2023
442023
Measuring and filtering reactive inhibition is essential for assessing serial decision making and learning.
B Török, K Janacsek, DG Nagy, G Orbán, D Nemeth
Journal of Experimental Psychology: General 146 (4), 529, 2017
422017
Optimal forgetting: Semantic compression of episodic memories
DG Nagy, B Török, G Orbán
PLoS Computational Biology 16 (10), e1008367, 2020
202020
Tracking the contribution of inductive bias to individualised internal models
B Török, DG Nagy, M Kiss, K Janacsek, D Németh, G Orbán
PLOS Computational Biology 18 (6), e1010182, 2022
122022
A munkaerőhiány a nemzetközi és a magyar irodalom tükrében
I Tóth, D Nagy, V Kónya
Budapest: MKIK Gazdaság-és Vállalkozáskutató Intézet, 2017
72017
Hierarchical semantic compression predicts texture selectivity in early vision
M Bányai, DG Nagy, G Orbán
Proceedings of the Conference on Cognitive Computational Neuroscience, 2019
52019
Semantic compression of episodic memories
DG Nagy, B Török, G Orbán
arXiv preprint arXiv:1806.07990, 2018
52018
Harmonizing program induction with rate-distortion theory
H Zhou, DG Nagy, CM Wu
arXiv preprint arXiv:2405.05294, 2024
42024
Identifying transfer learning in the reshaping of inductive biases
A Székely, B Török, M Kiss, K Janacsek, D Németh, G Orbán
Open Mind 8, 1107-1128, 2024
32024
Variational autoencoder account of the early visual hierarchy
G Orban, M Banyai, D Nagy
Computational and Systems Neuroscience Meeting (COSYNE 2020), 165-166, 2020
12020
Interplay of episodic and semantic memory arises from adaptive compression
DG Nagy, G Orban, CM Wu
OSF, 2025
2025
Harmonizing Program Induction with Rate-Distortion Theory
CM Wu, DG Nagy, H Zhou
arXiv, 2024
2024
Forgetting in delayed recognition as generative compression with decreasing capacity
C Frater, DG Nagy, G Orbán
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
2022
Memory Failures Provide Clues for more Efficient Compression
DG Nagy, C Fráter, G Orbán
Brain-inspired Computing, 25, 2021
2021
Mechanisms of sharp wave-ripple generation and autonomous replay in a hippocampal network model
S Káli, E Vértes, DG Nagy, TF Freund, AI Gulyás
BMC Neuroscience 14, 1-2, 2013
2013
Rate distortion trade-off in human memory
DG Nagy, B ázs Torok, G Orbán
A simple classical explanation for question order effects
DG Nagy
Систем тренутно не може да изврши ову радњу. Пробајте поново касније.
Чланци 1–18