A Configurable Artificial Neuron Based on a Threshold-Tunable TiN/NbO&x2093;/Pt Memristor

Due to their simple structures and high-density integration, Memristors are employed to construct hardware spiking neurons. In this letter, we present a TiN/NbOx/Pt memristor with a tunable threshold for constructing configurable neurons. By applying positive tuning voltages with different compliance currents, the device exhibits multilevel negative threshold voltages. Additionally, by changing the amplitudes/widths of positive tuning pulses, we obtain a quasi-linear modulation of negative threshold voltages. Based on such a device, we construct a leaky integrate-and-fire neuron with configurable curves between the response speed and the excitatory input. These results indicate that our device is suitable to construct a configurable neuron, which is expected to maintain homeostasis and improve the stability of computing systems.

Automated summary

In this letter, the authors present a configurable neuron constructed using Memristors, which have simple structures and high-density integration. They design a memristor with a tunable threshold and demonstrate its ability to construct configurable neurons with different response curves. The results suggest that the device is suitable for maintaining homeostasis and improving the stability of computing systems.