Chenhao Xu,Wen Wang,Zewen Li,Zongbo Feng,Taiyuan Chai,Yongxu Hu,Lei Zheng,Yuchan Wang,Wenping Hu
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.
Qian Gao,Gang He,Bo He,Yanmei Liu,Yongli He,Shanshan Jiang,Huanhuan Wei,Can Fu
The development of high-performance neuromorphic phototransistors plays a fundamental role in advancing image perception systems by enabling low-latency, event-driven light sensing and accelerating the training of memory-efficient deep neural networks. Here, artificial synaptic phototransistors with synaptic plasticity are fabricated based on La-doped In2O3 nanofibers (InLaO NFs), demonstrating an integrated artificial synapse that mimics both central and visual neural functions. The device exhibits not only exceptional electrical performance, with a high field-effect mobility of 7.70 cm2V-1s-1, an ultralarge ON/OFF current ratio (>1 × 108), but also a strong photoresponse of 28.2 nA under light illumination. Through excitatory response modes, fundamental biological functions, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and the transition from short-term plasticity (STP) to long-term plasticity (LTP), are simulated by the synaptic transistor. Furthermore, in optoelectronic co-modulation, the high synaptic weights enable the device to emulate complex neural learning rules relevant to neuromorphic applications, such as classically conditioned reflexes and image recognition tasks. These results highlight the potential of InLaO NFs-based synaptic transistors as promising candidates for bio-inspired synaptic devices and advanced neuromorphic systems.
危险品化学品经营许可证（带存储）