Avoiding Catastrophic Forgetting

Publication date: Available online 23 April 2017
Source:Trends in Cognitive Sciences
Author(s): Michael E. Hasselmo
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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