The course aims at introducing neuromorphic computing by providing examples of materials and devices for this key enabling technology.

The following topics will be discussed:

1: Introduction to Neuromorphic computing: basics concepts and role of novel materials and devices
2: Resistance based memories: materials, type of devices, working principles and programming schemes
3. Implementing neuromorphic functionalities in hardware by exploiting devices dynamics and stochasticity: synapses, neurons, dendrites, biological- inspired learning rules
4: Type of neural networks and novel applications for neuromorphic computing systems: deep neural network (DNN), spike neural networks (SNN), reservoir computing, implementing neuromorphic functionalities in real circuit, applications enabled by neuromorphic computing.