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Avoiding Catastrophic Forgetting.

Authors
  • Hasselmo, Michael E1
  • 1 Center for Systems Neuroscience, Boston University, 2 Cummington Mall, Boston, MA 02215, USA. Electronic address: [email protected]
Type
Published Article
Journal
Trends in cognitive sciences
Publication Date
Jun 01, 2017
Volume
21
Issue
6
Pages
407–408
Identifiers
DOI: 10.1016/j.tics.2017.04.001
PMID: 28442279
Source
Medline
License
Unknown

Abstract

Humans regularly perform new learning without losing memory for previous information, but neural network models suffer from the phenomenon of catastrophic forgetting in which new learning impairs prior function. A recent article presents an algorithm that spares learning at synapses important for previously learned function, reducing catastrophic forgetting.

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