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arXiv · 2211.02598

A Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron

Paolo Gibertini·Luca Fehlings·Suzanne Lancaster·Quang Duong·Thomas Mikolajick·Catherine Dubourdieu·Stefan Slesazeck·Erika Covi·Veeresh Deshpande
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Abstract

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.

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Paolo Gibertini, Luca Fehlings, Suzanne Lancaster, Quang Duong, Thomas Mikolajick, Catherine Dubourdieu, Stefan Slesazeck, Erika Covi, Veeresh Deshpande. 2022-11-04. A Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron. https://doi.org/10.1109/icecs202256217.2022.9970799

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