Neuromorphics

Electrochemical Transistors for Neural Networks: Organic electrochemical transistors (OECTs), thanks to their biocompatibility and operation in an electrolytic environment, are envisioned to enable next-generation bioelectronics and ionoelectronics. They have been demonstrated as artificial synapses, biosensors, and drug-releasers. In our group, we go one step further. We grow dendritic networks of OECTs  and use them for machine learning. The idea aims at developing implantable and biocompatible computational platforms that can monitor real-time body fluid composition and patterns of biosignals. The random composition of the fibers combined with the machine learning approach of reservoir computing enables artificial intelligence on-chip, a potential breakthrough in healthcare and medicine.

© Matteo Cucchi/IAPP