Electrical simulation of learning stage in OG-CNTFET based neural crossbar

Retrouvey, Jean-Marie; Klein, Jacques-Olivier; Liao, Si-Yu; Maneux, Cristell

doi:10.1109/dtis.2010.5487555

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Electrical simulation of learning stage in OG-CNTFET based neural crossbar

Cited by 3 publications

References 3 publications

A review on carbon nanotube field effect transistors (CNTFETs) for ultra-low power applications

A review on carbon nanotube field effect transistors (CNTFETs) for ultra-low power applications

Neuro-inspired learning of low-level image processing tasks for implementation based on nano-devices

Carbon Nanotube Field Effect Transistors: An Aspect of Low Power and High Frequency Applications of CNTFETs

Contact Info

Product

Resources

About