Spiking neurons from tunable Gaussian heterojunction transistors

Spiking neural networks exploit spatiotemporal processing, spiking sparsity, and high interneuron bandwidth to maximize the energy efficiency of neuromorphic computing. While conventional silicon-based technology can be used in this context, the resulting neuron-synapse circuits require multiple tra...

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Detalles Bibliográficos
Autores principales: Beck, Megan E., Shylendra, Ahish, Sangwan, Vinod K., Guo, Silu, Gaviria Rojas, William A., Yoo, Hocheon, Bergeron, Hadallia, Su, Katherine, Trivedi, Amit R., Hersam, Mark C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099079/
https://www.ncbi.nlm.nih.gov/pubmed/32218433
http://dx.doi.org/10.1038/s41467-020-15378-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099079/
https://www.ncbi.nlm.nih.gov/pubmed/32218433
http://dx.doi.org/10.1038/s41467-020-15378-7

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