Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges

The two possible pathways toward artificial intelligence (AI)—(i) neuroscience-oriented neuromorphic computing [like spiking neural network (SNN)] and (ii) computer science driven machine learning (like deep learning) differ widely in their fundamental formalism and coding schemes (Pei et al., 2019)...

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Detalles Bibliográficos
Autores principales: Dutta, Sourav, Schafer, Clemens, Gomez, Jorge, Ni, Kai, Joshi, Siddharth, Datta, Suman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327100/
https://www.ncbi.nlm.nih.gov/pubmed/32670012
http://dx.doi.org/10.3389/fnins.2020.00634

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327100/
https://www.ncbi.nlm.nih.gov/pubmed/32670012
http://dx.doi.org/10.3389/fnins.2020.00634

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