Supervisor(s):Prof. Shahar Kvatinsky
Cellular neural networks (CNN) are a parallel computing paradigm similar to neural network with the difference that communication is allowed between neighboring units only. CNN are attractive for applications such as image processing, biological vision, solving partial differential equations and more.
In this project, memristors, novel circuit elements, will be used in CNN to exploit their capability to combine learning and memory together. Memristive CNN can outperform conventional CNN with significant better area efficiency