Emulating homoeostatic effects with metal-oxide memristors T-dependence (2110.04102v1)

Abstract: Memristor technologies have been rapidly maturing for the past decade to support the needs of emerging memory, artificial synapses, logic gates and bio-signal processing applications. So far, however, most concepts are developed by exploiting the tuneable resistive state of memristors with other physical characteristics being ignored. Here, we report on the thermal properties of metal-oxide memristors and demonstrate how these can be used to emulate a fundamental function of biological neurons: homeostasis. We show that thermal control mechanisms, frequently dismissed for their generally slow and broad-brush granularity, may in fact be an appropriate approach to emulating similarly slow and broad-brush biological mechanisms due to their extreme simplicity of implementation. We further demonstrate that metal-oxide memristors can be utilised as thermometers and exhibit a programmable temperature sensitivity. This work paves the way towards future systems that employ the rich physical properties of memristors, beyond their electrical state-tuneability, to power a new generation of advanced electronic devices.