The way in which hardware components are organized into a functional computer, namely the von Neumann architecture, has barely changed since its inception in 1945. The bottleneck of this architecture consists in the huge data transferring between the processor and the memory. Nevertheless, with the advent of the Internet of Things (IOT) and the Artificial Intelligence (AI), an exponential growth in the amount of processed data, has imposed critical requirements in terms of energy efficiency and processing speed. Neuromorphic hardware allows to perform computing at the site where data is stored, offering an attractive solution for these issues. Neuromorphic architecture can be based on a memristor, known as a programmable resistor, which is a circuit element that changes its resistance depending on how much charge flowed through it.