神经形态工程学
计算机科学
适应(眼睛)
光子学
可扩展性
感知
人工智能
响应度
油藏计算
材料科学
计算机体系结构
自主系统(数学)
微尺度化学
试验台
知觉系统
认知
机器人
认知计算
机器人学
记忆
自适应系统
人机交互
仿人机器人
软机器人
异质结
电子工程
认知机器人学
作者
Ye Wang,Shangxun Li,Yisen Yao,Yujie Wei,Guijiang Liu,Haolan Wang,Artur Movsesyan,Liang Pan,Zhiming M. Wang
标识
DOI:10.1002/adfm.202509600
摘要
Abstract Emulating human‐like perceptual decisions remains a critical challenge in humanoid intelligent robots, as existing neuromorphic devices lack multi‐signal parallel processing for advanced cognitive functions such as autonomous situation adaptation and dynamic environment interaction. Here, a neuromorphic autonomous perceptual decision system using an optoelectronic synapse array based on a heterostructure of 1D_ZnO nanorod (NR) and 0D_Cu 3 (HHTP) 2 MOFs is reported. A significant improvement in responsivity (≈6.77 mA W −1 ) and detectivity (≈1.08 × 10 10 Jones) over pristine components is achieved in this 1‐0D heterostructure at 405 nm. Benefiting from the synaptic characteristics of the hybrid architecture, the bio‐visual selective memorizing and forgetting behavior are successfully demonstrated in an array. Moreover, a photonic neuromorphic autonomous perceptual decisions system composed of “visual evidence accumulation‐action preparation‐decision‐action” is developed, enabling an autonomous turn of a robotic dog through multi‐signal processing. This work bridges neuromorphic materials with bioinspired cognitive architectures, offering a scalable framework for autonomous systems that replicate higher‐order brain functions.
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