Active
memristor elements, also called neuristors, are self-oscillating
devices that are very good approximations to biological neuronal functionality
and are crucial to the development of low-power neuromorphic hardware.
Materials showing conduction mechanisms that depend superlinearly
on temperature can lead to negative differential resistance (NDR)
regimes, which may further be engineered as self-oscillators. Thermal
runaway effects or insulator-to-metal phase transitions (IMTs) can
lead to such superlinearity and are being extensively studied in systems
such as TaO
x
, NbO
x
, and VO2. However, ReNiO3 systems that
offer large tunability in metal–insulator transition temperatures
are less explored so far. Here, we demonstrate all-or-nothing neuron-like
self-oscillations at MHz frequency and low temperatures on thin films
of NdNiO3, a model charge-transfer insulator, and their
frequency coding behavior. We study the temperature dependence of
NDR and show that it vanishes even at temperatures below the IMT temperature.
We also show that the threshold voltages scale with device size and
that a simple electrothermal device model captures all these salient
features. In contrast to existing models, our model correctly predicts
the independence of oscillation amplitude with the applied voltage,
offering crucial insights about the nature of fixed points in the
NDR region, and the dynamics of non-linear oscillations about them.