Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization

Artificial autonomous agents and robots interacting in complex environments are required to continually acquire and fine-tune knowledge over sustained periods of time. The ability to learn from continuous streams of information is referred to as lifelong learning and represents a long-standing chall...

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Detalles Bibliográficos
Autores principales: Parisi, German I., Tani, Jun, Weber, Cornelius, Wermter, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6279894/
https://www.ncbi.nlm.nih.gov/pubmed/30546302
http://dx.doi.org/10.3389/fnbot.2018.00078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6279894/
https://www.ncbi.nlm.nih.gov/pubmed/30546302
http://dx.doi.org/10.3389/fnbot.2018.00078

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