Spiking neurons from tunable Gaussian heterojunction transistors
Designing high performance, scalable, and energy efficient spiking neural networks remains a challenge. Here, the authors utilize mixed-dimensional dual-gated Gaussian heterojunction transistors from single-walled carbon nanotubes and monolayer MoS2 to realize simplified spiking neuron circuits.
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-03-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-15378-7 |