Design of a Power Efficient Artificial Neuron Using Superconducting Nanowires

With the rising societal demand for more information-processing capacity with lower power consumption, alternative architectures inspired by the parallelism and robustness of the human brain have recently emerged as possible solutions. In particular, spiking neural networks (SNNs) offer a bio-realis...

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Bibliographic Details
Main Authors: Toomey, Emily Anne, Segall, Ken, Berggren, Karl K.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Frontiers Media SA 2020
Online Access:https://hdl.handle.net/1721.1/124787