Low-voltage, CMOS-free synaptic memory based on LiXTiO2 redox transistors

Neuromorphic computers based on analogue neural networks aim to substantially lower computing power by reducing the need to shuffle data between memory and logic units. Artificial synapses containing non-volatile analogue conductance states enable direct computation using memory elements; however, most non-volatile analogue memories require high write voltages and large current densities, and are accompanied by nonlinear and unpredictable weight updates. Here, we develop an inorganic redox transistor based on electrochemical lithium ion insertion into LixTiO2 that displays linear weight updates at both low current densities and low write voltages. The write voltage, as low as 200 mV at room temperature, is achieved by minimizing the open-circuit voltage as well as a low-voltage diffusive memristor selector. We further show that the LixTiO2 redox transistor can achieve an extremely sharp transistor subthreshold slope of just 40 mV/decade when operating in an electrochemically driven phase transformation re...