Answers are grounded in this paper and cite their sources.
Demonstrates enhanced learning in neuromorphic systems using amorphous LiNbO3 memristors, indicating potential for advanced memory solutions.
This work presents a comprehensive study on amorphous LiNbO 3 (LNO)-based memristors and their application in nonvolatile memory and neuromorphic computing. We demonstrate the fabrication of Ti/LNO/Au memristors exhibiting robust bipolar analog switching, excellent cycle-to-cycle uniformity, and long-term retention. These devices retain full switching functionality up to 400 °C, emphasizing the intrinsic thermal resilience of the amorphous LNO matrix and the stability of oxygen-vacancy-mediated filament dynamics. The devices further display a range of synaptic behaviors such as long-term potentiation, long-term depression, paired-pulse facilitation, and spike-timing-dependent plasticity, which are essential for biologically plausible learning rules in neuromorphic systems. The history-dependent conductance evolution of the memristors enables metaplasticity, which adaptively regulates learning rates and mitigates catastrophic forgetting in sequential MNIST tasks while maintaining high accuracy even at 200 °C. These findings position amorphous LNO as a promising material for next-generation memristive hardware, uniquely combining thermal endurance, analog plasticity, and metaplastic learning regulation.
No takes yet. Share an insight, caveat, or question.
Dong et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: