David G. Nagy

According to our database, David G. Nagy authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals.

Timo Flesch, David G. Nagy, Andrew M. Saxe, Christopher Summerfield

PLoS Comput. Biol., January, 2023

2022

Tracking the contribution of inductive bias to individualised internal models.

Balázs Török, David G. Nagy, Mariann Kiss, Karolina Janacsek, Dezso Németh, Gergo Orbán

PLoS Comput. Biol., 2022

Forgetting in delayed recognition as generative compression with decreasing capacity.

Csenge Fráter, David G. Nagy, Gergo Orbán

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Memory Failures Provide Clues for more Efficient Compression.

David G. Nagy, Csenge Fráter, Gergo Orbán

ERCIM News, 2021

2020

Optimal forgetting: Semantic compression of episodic memories.

David G. Nagy, Balázs Török, Gergo Orbán

PLoS Comput. Biol., 2020

2018

Semantic compression of episodic memories.

David G. Nagy, Balázs Török, Gergo Orbán

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Episodic memory for continual model learning.

David G. Nagy, Gergo Orbán

CoRR, 2017

2016

Episodic memory as a prerequisite for online updates of model structure.

David Gergely Nagy, Gergo Orbán

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016