Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks

We develop biologically plausible training mechanisms for self-supervised learning (SSL) in deep networks. Specifically, by biologically plausible training we mean (i) all updates of weights are based on current activities of pre-synaptic units and current, or activity retrieved from short term memo...

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Detalles Bibliográficos
Autores principales: Tang, Mufeng, Yang, Yibo, Amit, Yali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977509/
https://www.ncbi.nlm.nih.gov/pubmed/35386856
http://dx.doi.org/10.3389/fncom.2022.789253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977509/
https://www.ncbi.nlm.nih.gov/pubmed/35386856
http://dx.doi.org/10.3389/fncom.2022.789253

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