Study, modelling and integration of neuromorphic systems with electrolyte-gated organic transistors

Neuromorphic circuits try to mimic the nervous system to create a more efficient architecture for particular tasks, like pattern recognition. Thanks to the performance shown by Electrolyte-Gated Transistors (EGTs), my main focus in this PhD course is to study and model these devices using state-of-the-art model. With these results, I could project a complex neuromorphic system aided with computer-based simulations, which can then be integrated. One of the properties of EGTs is the ability to interface with biological systems thanks of the electrolyte used as the transistor insulator, meaning that my results could allow me to interface with an actual biological system.