Cite
Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device
MLA
Pavan Kumar Chundi, et al. “Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device.” Frontiers in Neuroscience, vol. 15, July 2021. EBSCOhost, https://doi.org/10.3389/fnins.2021.684113.
APA
Pavan Kumar Chundi, Dewei Wang, Sung Justin Kim, Minhao Yang, Joao Pedro Cerqueira, Joonsung Kang, Seungchul Jung, Sangjoon Kim, & Mingoo Seok. (2021). Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device. Frontiers in Neuroscience, 15. https://doi.org/10.3389/fnins.2021.684113
Chicago
Pavan Kumar Chundi, Dewei Wang, Sung Justin Kim, Minhao Yang, Joao Pedro Cerqueira, Joonsung Kang, Seungchul Jung, Sangjoon Kim, and Mingoo Seok. 2021. “Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device.” Frontiers in Neuroscience 15 (July). doi:10.3389/fnins.2021.684113.