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Tetrachromatic-Inspired Neuromorphic Visual Memristors Based on Organic/Inorganic Perovskite Semiconductor Heterostructures for Synchronous Spatio-Temporal Detection

Journal 2025 · IF 19 · 发表于 2025 年 10 月 12 日
作者: Chenhao Xu,Wen Wang,Zewen Li,Zongbo Feng,Taiyuan Chai,Yongxu Hu,Lei Zheng,Yuchan Wang,Wenping Hu
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摘要

The tetrachromatic-inspired neuromorphic visual memristor (NVM) provides an opportunity to enhance human color perception and discrimination capabilities. However, current researches predominantly focus on UV sensing under high-power conditions and memory functionalities, often neglecting practical capabilities such as image perception enabled by weak UV signals and spatial-temporal pre-processing. Here, to address it, an all-in-one NVM based on a novel C 6 -DPA:Cs 3 Bi 2 I 9 /PMMA (C6-CP) organic/inorganic perovskite semiconductor bulk heterostructure is developed, fabricated using a scalable and low-temperature solution process. At a 1:6 volume ratio, it exhibits unique UV-modulated multi-channel conductive filaments, resulting in excellent neuromorphic synaptic performance, as well as an ultralow UV detection limit of ≈0.41 µW cm −2 and a high specific detectivity ( D * ) of 4.2 × 10 14 Jones. This represents a 1000-fold improvement over current UV-excited memristors. Moreover, the device uses its differential response to UV intensity variations to mimic the butterflyfish bio-retina, enabling grayscale detection and image extraction even with 50% noise interference. Subsequently, additional integration of multi-level edge-enhanced convolutional kernels allow C 6 -CP-based array devices to precisely control spatio-temporal synchronization between event detection and grayscale sensing, enabling accurate extraction of fish movement trajectories under low-light conditions. This work improves multi-dimensional image processing under complex lighting conditions for intelligent NVM systems.

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