Article

Overcoming Catastrophic Interference: Neuroscience-inspired Models for Continuous Learning in Neural Networks

2025-09-30

Abstract excerpt

<p>Catastrophic interference (a.k.a. catastrophic forgetting) occurs when neural networks suddenly lose previously learned knowledge while acquiring new information. However, the human and animal brain have evolved several mechanisms to solve this problem. In this study, We analyze a wide range of brain-inspired mitigation strategies, such as Elastic Weight Consolidation and Synaptic Intelligence, which aim to pre...

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Literature Corpus work: 737de719-f3c4-562e-b4cd-1a62fe936c25
DOI: 10.31234/osf.io/up7yz_v1

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