About this document
Memristor-Based Tunable Artificial Neuron by ravisankardakupati is a document available to read on EtoBox.
This document presents a study on a memristor-based artificial neuron that demonstrates leaky integrate-and-fire (LIF) characteristics with tunable performance. The neuron, built from Ag/TaOx/Si, shows high stability and efficiency, with the ability to modulate its activation threshold through oxygen vacancy concentration. The findings suggest that such tunable artificial neurons could significantly advance neuromorphic computing and intelligent electronic devices.
- Author
- ravisankardakupati
- Language
- EN