Exploring the associative learning capabilities of the segmented attractor network for lifelong learning

This work explores the process of adapting the segmented attractor network to a lifelong learning setting. Taking inspirations from Hopfield networks and content-addressable memory, the segmented attractor network is a powerful tool for associative memory applications. The network's performance...

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Detalles Bibliográficos
Autores principales: Jones, Alexander, Jha, Rashmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376266/
https://www.ncbi.nlm.nih.gov/pubmed/35978653
http://dx.doi.org/10.3389/frai.2022.910407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376266/
https://www.ncbi.nlm.nih.gov/pubmed/35978653
http://dx.doi.org/10.3389/frai.2022.910407

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