Avoiding Catastrophic Forgetting

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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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APA

Hasselmo, M. E. (2017, June 1). Avoiding Catastrophic Forgetting. Trends in Cognitive Sciences. Elsevier Ltd. https://doi.org/10.1016/j.tics.2017.04.001

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