Ommolbanin Moghimi Kandelous - Khatam University, Tehran, Iran
Norassadat Moosavi - Islamic Azad University Central Tehran Branch, Tehran, Iran
Mahya Sam Daliri - Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran
Keivan Navi - Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran

In this article, we try to model the effect of the changes in the threshold voltage of two positive inputs to negative ones using nanotechnology based on Quantum Dot Cellular automata (QCA). In order to do so, the voter of a Majority cell has been modified resulting in amplifying the negative effect of the upper and the lower cells. Besides this Brain-inspired approach can be used to design a very fast Majority function with two negative inputs based on QCA.

Neural Network, Bio-inspired nanostructure design, Nanotechnology, QCA, Power consumption, Majority Gate