Life-long learning and evolving associative memories in brain-inspired spiking neural networks

This is the authors' abstract. We don't add key points for this paper.

The paper argues that evolving associative memories (EAM), that are manifested in all biological systems and realised in the human brain through life-long learning (LLL), can be realised in brain-inspired computational architectures based on spiking neural networks (SNN). The paper points to the importance of the duality of the concepts of EAM and LLL for future AI systems.