Integrating Organic-Based Devices for Neuromorphic Computing

Polymer-based artificial synapses have shown outstanding performance in terms of switching speed, switching energy and endurance. The working principle of these devices leverages the dynamics of ion diffusion in polymers. The same dynamics can be used to fabricate organic circuits that mimic spiking neurons that exhibit adaptive behavior. These circuits comprise p- and n-type devices which are fabricated separately on chips and subsequently connected. In order to build systems, organic-based devices must be integrated with driving electronics made of conventional materials. In this talk I will summarize our efforts in this direction, towards building integrated organic-inorganic systems.