Transistor-based architectures in the traditional von Neumann architecture are reaching their limit exhibiting a wide gap in performances comparing the CPU and the memory addressing, where the latter represents a big constraint in operational frequency. New computing paradigms are necessary to overcome these limitations, where bio-mimetic approaches come to help: brain-inspired paradigms suggest to perform storage and processing operations in a spatial and physical correlated frame- work. One of the devices which lets this approach possible is a novel analog device: the memristor. Acting as an artificial synapse, this component exhibits resistive switching and memory properties, which allow the mimicking of brain plasticity.