Episodic memory as a prerequisite for online updates of model structure. - David Gergely Nagy; Gergo Orbán (CogSci, 2016)

Episodic memory for continual model learning. - David G. Nagy; Gergo Orbán (CoRR, 2017)

Semantic compression of episodic memories. - David G. Nagy; Balázs Török; Gergo Orbán (CogSci, 2018)

Optimal forgetting: Semantic compression of episodic memories. - David G. Nagy; Balázs Török; Gergo Orbán (PLoS Comput. Biol., 2020)

Memory Failures Provide Clues for more Efficient Compression. - David G. Nagy; Csenge Fráter; Gergo Orbán (ERCIM News, 2021)

Forgetting in delayed recognition as generative compression with decreasing capacity. - Csenge Fráter; David G. Nagy; Gergo Orbán (CogSci, 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)

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., 2023)

Harmonizing Program Induction with Rate-Distortion Theory. - Hanqi Zhou; David G. Nagy; Charley M. Wu (CoRR, 2024)

Analogy making as amortised model construction. - David G. Nagy; Tingke Shen; Hanqi Zhou; Charley M. Wu; Peter Dayan (CoRR, 2025)

Agent-centric learning: from external reward maximization to internal knowledge curation. - Hanqi Zhou; Fryderyk Mantiuk; David G. Nagy; Charley M. Wu (CoRR, 2025)