Catastrophic interference in neural network models is mitigated when the training data reflect a power-law environmental structure

@article{lyndgaard2022catastrophic,
  title = {Catastrophic interference in neural network models is mitigated when the training data reflect a power-law environmental structure},
  author = {Sibley F. Lyndgaard and Zachary R. Tidler and Lucas Provine and Sashank Varma},
  year = {2022},
  journal = {Annual Meeting of the Cognitive Science Society},
  url = {https://www.semanticscholar.org/paper/2b685e5cbfd87ecbb02a586a5923bee443dc6cd2},
}