Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks

Spiking neural networks (SNNs) are a computational tool in which the information is coded into spikes, as in some parts of the brain, differently from conventional neural networks (NNs) that compute over real-numbers. Therefore, SNNs can implement intelligent information extraction in real-time at t...

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Detalles Bibliográficos
Autores principales: Brivio, Stefano, Ly, Denys R. B., Vianello, Elisa, Spiga, Sabina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901913/
https://www.ncbi.nlm.nih.gov/pubmed/33633531
http://dx.doi.org/10.3389/fnins.2021.580909

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901913/
https://www.ncbi.nlm.nih.gov/pubmed/33633531
http://dx.doi.org/10.3389/fnins.2021.580909

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