Corpus ID: 202719389

AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning

@article{Kowadlo2019AHAA,
  title={AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning},
  author={G. Kowadlo and Abdelrahman Ahmed and David Rawlinson},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.10340}
}
  • G. Kowadlo, Abdelrahman Ahmed, David Rawlinson
  • Published 2019
  • Computer Science, Biology, Mathematics
  • ArXiv
  • The majority of ML research concerns slow, statistical learning of i.i.d. samples from large, labelled datasets. Animals do not learn this way. An enviable characteristic of animal learning is 'episodic' learning - the ability to rapidly memorize a specific experience as a composition of existing concepts, without provided labels. The new knowledge can then be used to distinguish between similar experiences, to generalize between classes, and to selectively consolidate to long-term memory. The… CONTINUE READING
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