{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T08:09:51Z","timestamp":1787731791208,"version":"build-2784847793"},"reference-count":66,"publisher":"Wiley","issue":"15","license":[{"start":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T00:00:00Z","timestamp":1741046400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Small"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Retina\u2010inspired optoelectronic neuromorphic devices integrating optical sensing and computation are the key components in realizing neuromorphic visual computing. In particular, UV\u2010responsive optoelectronic synaptic devices hold significant value for advanced neuromorphic vision systems, as they can expand human visual perception. Herein, we demonstrate a UV\u2010responsive optoelectronic synaptic device based on ZnMgO quantum dots (QDs) designed for in\u2010sensor computing in neuromorphic vision applications. The device demonstrates voltage\u2010driven short\u2010term and long\u2010term synaptic plasticity, as well as multiple photoinduced synaptic functions. Based on this device, an in\u2010sensor image\u2010blending encryption method has been designed, which can effectively reduce the risk of data leakage during transmission. Furthermore, an in\u2010sensor reservoir computing (RC) system with image processing functions is constructed, which integrates a photonic reservoir layer (PRL) for image preprocessing and a multilayer perceptron (MLP) capable of image recognition. The system achieves 98.6% accuracy in recognizing Fashion\u2010MNIST images and maintains 83% accuracy under 60% random noise, showcasing its robustness. This work introduces a novel approach for developing UV\u2010responsive optoelectronic synaptic devices equipped with dual\u2010mode modulation of both electrical and optical signals, offering new perspectives and solutions for integrated applications in neuromorphic vision systems.<\/jats:p>","DOI":"10.1002\/smll.202412531","type":"journal-article","created":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T16:59:17Z","timestamp":1741712357000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Neuromorphic Visual Computing with ZnMgO QDs\u2010Based UV\u2010Responsive Optoelectronic Synaptic Devices for Image Encryption and Recognition"],"prefix":"10.1002","volume":"21","author":[{"given":"Zilong","family":"Guo","sequence":"first","affiliation":[{"name":"Shandong Provincial Key Laboratory of Ubiquitous Intelligent Computing School of Information Science and Engineering University of Jinan  Jinan 250022 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Kan","sequence":"additional","affiliation":[{"name":"Shandong Provincial Key Laboratory of Ubiquitous Intelligent Computing School of Information Science and Engineering University of Jinan  Jinan 250022 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaqi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Automobile Materials Ministry of Education College of Materials Science and Engineering Jilin University  Changchun 130012 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5260-5157","authenticated-orcid":false,"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Integrated Circuits Shandong University  Jinan 250101 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