Inspired　by　the　retina,　artificial　optoelectronic　synapses　have　groundbreaking　potential　for　machine　vision.　The　field-effect　transistor　is　a　crucial　platform　for　optoelectronic　synapses　that　is　highly　sensitive　to　external　stimuli　and　can　modulate　conductivity.　On　the　basis　of　the　decent　optical　absorption,　perovskite　materials　have　been　widely　employed　for　constructing　optoelectronic　synaptic　transistors.　However,　the　reported　optoelectronic　synaptic　transistors　focus　on　the　static　processing　of　independent　stimuli　at　different　moments,　while　the　natural　visual　information　consists　of　temporal　signals.　Here,　we　report　CsPbBrI2　nanowire-based　optoelectronic　synaptic　transistors　to　study　the　dynamic　responses　of　artificial　synaptic　transistors　to　time-varying　visual　information　for　the　first　time.　Moreover,　on　the　basis　of　the　dynamic　synaptic　behavior,　a　hardware　system　with　an　accuracy　of　85%　is　built　to　the　trajectory　of　moving　objects.　This　work　offers　a　new　way　to　develop　artificial　optoelectronic　synapses　for　the　construction　of　dynamic　machine　vision　systems.