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However, existing ML materials are hindered by high response thresholds and single\u2010mode luminescence, preventing sub\u2010kPa perception and multilevel neural transmission. Here, we employ Li\n                    <jats:sup>+<\/jats:sup>\n                    \/Dy\n                    <jats:sup>3+<\/jats:sup>\n                    co\u2010doping in Sr\n                    <jats:sub>2<\/jats:sub>\n                    SiO\n                    <jats:sub>4<\/jats:sub>\n                    :Eu\n                    <jats:sup>2+<\/jats:sup>\n                    (LSSO) to implement a defect engineering strategy that synergistically optimizes oxygen vacancies and suppresses strontium vacancies, achieving dual breakthroughs in sensitivity and signal clarity. This approach yields a record\u2010low ML threshold of 72 Pa\u2014the only Pa\u2010level system achieved without external electricity or elastomeric structural modifications. This material also responds to sunlight, force, and heat, emulating diverse synaptic functions like tactile\/optic nerve perception, short\u2010term potentiation, and memory. It exhibits a 7\u2010s persistent ML with a signal\u2010to\u2010noise ratio of 20.57 which is 15.6 times higher than commercial SrAl\n                    <jats:sub>2<\/jats:sub>\n                    O\n                    <jats:sub>4<\/jats:sub>\n                    :Eu\n                    <jats:sup>2+<\/jats:sup>\n                    ,Dy\n                    <jats:sup>3+<\/jats:sup>\n                    , a micron\u2010scale imaging resolution (\u2248200 \u00b5m), and a 36\u2010hour memory capacity. These properties enable thermal\u2010activated information awakening and visual imaging over 1000 cycles, with a memory accuracy 209% superior to the Ebbinghaus curve. This work not only advances the design of all\u2010optical synapses but also forges a pivotal connection between ML and neuromorphic engineering, propelling energy\u2010efficient, light\u2010driven artificial intelligence.\n                  <\/jats:p>","DOI":"10.1002\/adma.202514909","type":"journal-article","created":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T12:10:26Z","timestamp":1759579826000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Ultrasensitive Pa\u2010Level Persistent Mechanoluminescent Material Toward All\u2010Optical Neural Synapses for Tactile\u2010Visual Information Recognition and Memory"],"prefix":"10.1002","volume":"38","author":[{"given":"Zhijie","family":"Ye","sequence":"first","affiliation":[{"name":"College of Optics and Electronic Technology China Jiliang University  Hangzhou 310018 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