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

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aut.relation.endpage57
aut.relation.issue1
aut.relation.startpage56
aut.relation.volume8
dc.contributor.authorK Kasabov, Nikola
dc.date.accessioned2025-02-19T22:25:35Z
dc.date.available2025-02-19T22:25:35Z
dc.date.issued2024-05-08
dc.description.abstractThe 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.
dc.identifier.citationKasabov 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
dc.identifier.doi10.15406/mojabb.2024.08.00208
dc.identifier.issn2576-4519
dc.identifier.issn2576-4519
dc.identifier.urihttp://hdl.handle.net/10292/18716
dc.publisherMedCrave Group Kft.
dc.relation.urihttps://medcraveonline.com/MOJABB/life-long-learning-and-evolving-associative-memories-in-brain-inspired-spiking-neural-networks.html
dc.rights©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.
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subject46 Information and Computing Sciences
dc.subject4611 Machine Learning
dc.subjectNeurosciences
dc.subject1 Underpinning research
dc.subject1.1 Normal biological development and functioning
dc.subjectNeurological
dc.titleLife-Long Learning and Evolving Associative Memories in Brain-Inspired Spiking Neural Networks
dc.typeOther Form of Assessable Output
pubs.elements-id553417

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