Hardware realization of Reservoir computing and pattern recognition systems based on deterministic and stochastic organic memristive devices

We propose in this project is the realization of a totally hardware neuromorphic network, consisting of a dynamic reservoir and a single-layer perceptron capable of temporal information processing such as image pattern recognition. We will employ deterministic devices, realized by means of standard cleanroom processes and we will develop devices based on stochastic materials and devices realized by means of 3D printed, additive manufacturing technology to reach the high brain connectivity and promoting the reaching of a higher TRL with a rapid prototyping of devices. Such network can compute complex temporal data more efficiently than standard ANN, reducing dramatically training costs, power and time consumptions.