A scalable neuristor built with Mott memristors.

By Matthew D. Pickett, G. Medeiros-Ribeiro, R. S. Williams. Nature Materials, 2013

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Neuromorphic computing with nanoscale spintronic oscillators (2017, methodology): “Magnetic tunnel junctions films with a stacking structure of buffer/PtMn(15)/ Co71Fe29(2.5)/Ru(0.9)/ Co60Fe20B20(1.6)/Co70Fe30(0.8)/ MgO(1)/ Fe80B20(6)/ MgO(1) /Ta(8)/Ru(7) (thicknesses in nm) were prepared by ultra-high vacuum (UHV) magnetron sputtering.”
An artificial spiking afferent nerve based on Mott memristors for neurorobotics (2020, background): “It features negative differential resistance (NDR) behavior 40,41 , which can serve as the basis of dynamic threshold switching with voltage sweeps 41 and has enabled emulation of biological neurons 26,27 , and analog computing 42 .”
Fully memristive neural networks for pattern classification with unsupervised learning (2018, methodology): “The threshold behaviour of the diffusive memristor can be compared to that of an ion channel located near the soma of a neuron, whereas the membrane capacitance and axial resistance are represented by a capacitor C m parallel to the memristor and a resistor R a in series with this combination 23 .”
Spin-torque building blocks. (2014, background): “Recently “neuristor” circuits based on memristors have been used to emulate neurons [98].”