Wide Waveband Light Detection and Storage Device for Visual Memory

Abstract

Artificial visual memory systems are attracting significant research attention to emulate the basic functions of the human visual system. However, currently, light detection via visual memory systems mainly focuses on ultraviolet light and single wavelength. Herein, a composite memristor (silicon p‐i‐n photodetector in series with p‐NiO/n‐ZnO heterostructure memristor) is designed and its detection–storage function is realized. The photodetector offers a wide range of detection from 300 to 1000 nm. Similar “learning‐experience” behaviors by light stimulation have been exhibited in the composite memristor. Moreover, different illumination wavelengths (350, 500, 650, and 900 nm) can provide different memory currents (ΔW = 2.4, 4.1, 6.6, and 4.9%, respectively), which benefits the detection–storage of different light information for a wide‐range visual memory simulation similar to the human visual system. This composite memristor opens up new avenue for constituting wider waveband versatile electronic eyes even beyond the visible light region.

Research Progress of Neural Synapses Based on Memristors

“…The type of stimulation used depends on the physical mechanism of the device's high-and low-impedance changes. In addition, the p + -Si/n-ZnO heterostructure [72], Pt/BiFeO 3 /SrRuO 3 -based ferroelectric second-order [73], sponge-like double-layer porous oxide [74], and p-NiO/n-ZnO heterostructure memristor [75] both can simulate the experiential learning process of biological brains. Other teams also conduct mathematical modeling and analysis of this process [76].…”

Recent progress in optoelectronic memristors for neuromorphic and in-memory computation

“…Several kinds of artificial visual systems have been proposed that try to emulate this behavior [163,164]. Usually, in the conventional image processing based on deep learning-based computer visions, an array of photodetectors and image sensors are employed, to act as the retina, that gathers light information and converts it to electric signals, transferred to software-based ANN for further processing and storage [165][166][167][168]. To improve computer visions, novel algorithms are required to be investigated, especially in the context of human vision-inspired models and SNN approach to synthesize the most realistic image.…”

Investigation on Synaptic Adaptation and Fatigue in ZnO/HfZrO-Based Memristors under Continuous Electrical Pulse Stimulation

“…This memristor was able to replicate the learning and forgetting cycles of the human brain through three iterations [15]. In addition, p+-Si/n-ZnO heterojunctions [16], ferroelectric second-order based on Pt/BiFeO 3 /SrRuO 3 [17], and p-NiO/n-ZnO heterojunction memristors [18] have the ability to replicate the experiential learning process of the biological brain. Nevertheless, natural biological neural responses exhibit both immediate and simultaneous non-associative learning.…”