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Life-Long Learning and Evolving Associative Memories in Brain-Inspired Spiking Neural Networks

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Date

2024-05-08

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Publisher

MedCrave Group Kft.

Abstract

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.

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Keywords

46 Information and Computing Sciences, 4611 Machine Learning, Neurosciences, 1 Underpinning research, 1.1 Normal biological development and functioning, Neurological

Source

Kasabov NK. Life-long learning and evolving associative memories in brain-inspired spiking neural networks. MOJ App Bio Biomech. 2024;8(1):56-57. DOI: 10.15406/mojabb.2024.08.00208

DOI

10.15406/mojabb.2024.08.00208

Publisher's version

https://medcraveonline.com/MOJABB/life-long-learning-and-evolving-associative-memories-in-brain-inspired-spiking-neural-networks.html

Rights statement

©2024 Kasabov. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.

Permanent link

http://hdl.handle.net/10292/18716

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School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau