Fully Light Modulated Self-Powered Optoelectronic Memristor for Neuromorphic Computing
Lu Chen, Jialin Meng, Tianyu Wang, Hao Zhu, Qingqing Sun, David Wei Zhang, Lin Chen
Abstract
Conventional Von Neuman architectures are now experiencing significant challenges, and memristor-based neuromorphic devices have demonstrated the advantages of enabling in- memory computing. Here, we report a memristor that can be completely modulated by optical signals to modulate the device conductance, while also enabling a self-powered function. Furthermore, the device can simulate various distinguished behaviors of the human brain under pure light stimulation, such as excitatory post-synaptic current (EPSC), paired-pulse facilitation (PPF), transition from short-term memory (STM) to long-term memory (LTM), and human-like brain learning behaviors, while demonstrating good reliability. By selecting light stimuli with different wavelengths, long-term potentiation (LTP) and long-term depression (LTD) can be achieved, respectively. The device reported in this letter offers the potential for neuromorphic devices in many important applications.