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David G. Nagy
David G. Nagy
University of Tübingen, Max Planck Institute for Biological Cybernetics
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
Episodic memory as a prerequisite for online updates of model structure.
DG Nagy, G Orban
CogSci, 2016
432016
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
402017
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
282023
Optimal forgetting: Semantic compression of episodic memories
DG Nagy, B Török, G Orbán
PLoS Computational Biology 16 (10), e1008367, 2020
122020
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
6*2022
Semantic compression of episodic memories
DG Nagy, B Török, G Orbán
arXiv preprint arXiv:1806.07990, 2018
52018
Hierarchical semantic compression predicts texture selectivity in early vision
M Bányai, DG Nagy, G Orbán
Proceedings of the Conference on Cognitive Computational Neuroscience, 2019
32019
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
Identifying Transfer Learning in the Reshaping of Inductive Biases
A Székely, B Török, M Kiss, K Janacsek, D Nemeth, G Orbán
OSF, 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
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Articles 1–14