Rectifying resistive memory devices as dynamic complementary artificial synapses

• 主要作者: Berco, Dan
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2019
• 主題: Brain Inspired Computing; Artificial Neural Networks; DRNTU::Engineering::Electrical and electronic engineering
• 在線閱讀: https://hdl.handle.net/10356/103559; http://hdl.handle.net/10220/47332
• 機構: Nanyang Technological University

Brain inspired computing is a pioneering computational method gaining momentum in recent years. Within this scheme, artificial neural networks are implemented using two main approaches: software algorithms and designated hardware architectures. However, while software implementations show remarkable...