Winner-takes-all mechanism realized by memristive neural network

• Main Authors: Wang, Jun Jie, Yu, Qi, Hu, Shao Gang, Liu, Yanchen, Guo, Rui, Chen, Tu Pei, Yin, You, Liu, Yang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Artificial Neural Networks; Artificial Intelligence
• Online Access: https://hdl.handle.net/10356/142981
• Institution: Nanyang Technological University

Winner-Takes-All (WTA), an important mechanism in neural networks of recurrently connected neurons, is a critical element of many models of cortical processing. However, few WTA neural networks have been realized physically, especially by memristor networks. In this work, we have designed and implem...