PLOS · 2022 · Journal article

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

Timo Flesch, Dávid Nagy, Andrew Saxe, Christopher Summerfield

University of Oxford · HUN-REN Wigner Research Centre for Physics · Canadian Institute for Advanced Research · Sainsbury Laboratory · Centre for Global Health Research · Gatsby Computational Neuroscience Unit · University College London

Rendered by arXiv from the LaTeX source. If anything looks wrong, switch to the PDF.HTML · PDF · Open in a new tab ↗ · Close
Published in
PLoS Computational Biology
Date
2023-01-19
Citations
54
arXiv
2203.11560
Cite
@article{flesch2022modelling,
  title = {Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals},
  author = {Timo Flesch and Dávid Nagy and Andrew Saxe and Christopher Summerfield},
  year = {2022},
  journal = {PLoS Computational Biology},
  eprint = {2203.11560},
  archivePrefix = {arXiv},
  doi = {10.1371/journal.pcbi.1010808},
  url = {https://arxiv.org/abs/2203.11560},
}