Exploiting　biomimetic　perception　of　invisible　spectra　in　flexible　artificial　human　vision　systems　(HVSs)　is　crucial　for　real-time　dynamic　information　processing.　Nevertheless,　the　fast　processing　of　motion　objects　in　natural　environments　poses　a　challenge,　necessitating　that　these　artificial　HVSs　simultaneously　have　swift　photoresponse　and　nonvolatile　memory.　Here,　inspired　by　the　human　retina,　we　propose　a　flexible　UV　neuromorphic　visual　synaptic　device　(NeuVSD)　based　on　GaO　x　@GaN-composited　nanowires　for　dynamic　visual　perception.　Benefiting　from　the　combined　action　of　oxygen　adsorption　kinetics　on　the　GaO　x　shell　and　photoelectronic　excitation　in　the　GaN　core,　the　NeuVSD　can　achieve　rapid　photoresponse　and　long-term　plasticity　simultaneously,　a　feature　that　surpasses　traditional　devices　based　on　persistent　photoconductivity　mechanisms.　Beyond　the　optoelectronic　synaptic　plasticity,　the　flexible　NeuVSD　on　the　PET/PI　substrate　exhibits　good　performance　stability　after　1000　bending　cycles,　profiting　from　the　high　adaptability　of　nanowires.　Furthermore,　target　recognition　and　motion　detection　with　weak　light　intensities　are　achieved　through　the　establishment　of　neuromorphic　visual　neural　networks,　relying　on　dynamic　exposures　and　edge　information　processing,　respectively.　Real-time　edge　detection　can　still　be　realized　under　a　40%　noise　factor　and　effectively　remove　the　noise　background.　The　flexible　NeuVSD　array-based　artificial　visual　system　can　enhance　the　capability　of　dynamic　visual　information　processing　in　low-light　and　high-noise　conditions,　thereby　fostering　the　evolution　of　in-sensor　computing　and　artificial　intelligence.