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

Abstract 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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Publication Details

Journal
Advanced Functional Materials
Published
2025-10-12
DOI
https://doi.org/10.1002/adfm.202520381
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

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

Zewen Li, Wen Wang, Wenping Hu, Yongxu Hu et al.
Advanced Functional Materials
Advanced Memory and Neural Computing
article

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

Zewen Li, Wen Wang, Wenping Hu, Yongxu Hu, Yuchan Wang, Zongbo Feng, Chenhao Xu, Lei Zheng, T.C. Chai
article en

Abstract

Abstract 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.

Advanced Functional MaterialsVol. 36(18)
Tianjin University of Technology (CN), Tianjin University (CN)
Openalex Percentile: Top 72%
Advanced Memory and Neural Computing
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