A Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron
P. Gibertini, L. Fehlings, S. Lancaster, and 6 more authors
In 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Oct 2022
Event-based neuromorphic systems provide a low-power solution by using artificial neurons and synapses to process data asynchronously in the form of spikes. Ferroelectric Tunnel Junctions (FTJs) are ultra low-power memory devices and are well-suited to be integrated in these systems. Here, we present a hybrid FTJ-CMOS Integrate-and-Fire neuron which constitutes a fundamental building block for new-generation neuromorphic networks for edge computing. We demonstrate electrically tunable neural dynamics achievable by tuning the switching of the FTJ device.