Aug 2026· Small· pp.
e75437
· 0 citations· 34 references
Medicine
Abstract
Bio-inspired photonic synapses integrate optical sensing, memory, and processing in a single platform, overcoming the bottlenecks of traditional CMOS-based vision sensors. Most existing neuromorphic vision systems either rely on electrical inputs for bidirectional conductance modulation, limiting their operating speed and bandwidth, or lack nonvolatility, leading to nonlinear weight updates and poor efficiency in image recognition tasks. Here, we report a two-terminal, fully light-controlled synaptic memristor based on CsPbBr3/ZnO nanorod heterojunction that demonstrates 4-bit memory storage and optical logic operations within a single architecture. The device emulates essential functions of both excitatory and inhibitory synapses, utilizing positive photoconductivity under UV illumination (λ = 375 nm) and anomalous negative photoconductivity under visible light (λ = 450 nm). By controlling defect concentrations at the CsPbBr3/ZnO nanorod interface, the device exhibits nonvolatile multibit memory with near-linear, symmetric conductance modulation, achieving 92.4% image recognition accuracy with a convolutional neural network. The bidirectional photoresponse enables reconfigurable optical logic operations, demonstrating integrated logic-in-memory. Additionally, when integrated on a flexible platform, the device demonstrates stable synaptic performance under repeated mechanical bending. These results highlight the potential of CsPbBr3/ZnO nanorod heterojunction-based all-photonic synapses as building blocks for multibit storage, optical information processing, and wearable neuromorphic vision systems.
Bioinspired neuromorphic architectures featuring sensory-memory-computing integration offer a highly effective approach to overcoming the traditional von Neumann computing bottleneck. However, existing optoelectronic memristors universally face challenges such as high static power consumption and difficulties in modu...
Yuan-Hui Yang, Yuan-Feng Sun, Kai Hu et al.· Journal of Physical Chemistr...· 0 citations
Visible-light-responsive optoelectronic synapses are attracting increasing attention for neuromorphic vision systems because they integrate optical sensing and information processing within a single device. However, conventional oxide semiconductor phototransistors are generally limited by their wide bandgap, resulti...
Minsu Seo, Jiseong Jang, Min Jung Kim et al.· ACS Applied Electronic Mater...· 0 citations
Neuromorphic vision requires photonic synapses capable of integrating optical sensing and memory. However, achieving synaptic plasticity in photonic synapses typically relies on auxiliary charge-trapping components, resulting in increased processing complexity and poor substrate compatibility that limit large-area inte...
Tian-Yu Zhang, Yuan-Kai Li, Zi-Di Yu et al.· Advances in Materials· 0 citations
Metal-organic frameworks combine the structural tunability of organic materials with the periodic order of inorganic lattices, making them attractive candidates for neuromorphic devices. However, most MOF-based synaptic devices reported to date have been limited to electrically driven memristors because conventional MO...
Advanced vision systems for autonomous robotics require high efficiency, ultralow power consumption, and real-time decision-making. However, conventional vision sensors that rely on single-mode optical excitation fundamentally constrain their versatility. Here, we report a fully light-tunable optoelectronic synaptic de...
Ting-Ting Mei, Bo-Wei Zhang, T. Yousaf et al.· Science Advances· 1 citation
Neuromorphic visual computing aims to fuse sensing, memory, and processing into a single hardware stack, enabling reliable analog weight updates. Defect engineering in two-dimensional (2D) semiconductors is an effective strategy for achieving such synaptic functionality. However, in most 2D materials, the defects that...