The　visual　perception　system　is　the　most　important　part　of　the　human　body　to　perceive　and　receive　information　about　the　external　environment,　in　which　the　visual　neuron　is　the　basic　unit　of　the　visual　perception　system　to　achieve　the　function.　As　an　important　part　of　the　bionic　neuromimetic　perception　system,　the　artificial　bionic　visual　neural　system　is　diligently　striving　to　surmount　the　computational　bottlenecks　inherent　in　the　traditional　von　Neumann　architecture.　However,　structural　redundancy　and　information　transmission　loss　remain　a　challenge　for　artificial　visual　perception　systems　based　on　sensor-artificial　neuron　connections.　Here,　we　propose　an　artificial　bionic　visual　neuron　of　sense-storage-computing　monolithic　type,　integrating　a　light-absorbing　layer　based　on　chalcogenide　quantum　dots　and　conjugated　polymers　on　top　of　tantalum　oxide　artificial　neural　components,　which　has　good　optoelectronic　synergistic　integration　capability.　The　proposed　artificial　visual　neurons　exhibit　typical　bipolar　switching　characteristics　and　integral　ignition　performance,　while　showing　threshold　change　behaviour　for　photomodulation.　The　unique　optoelectronic　co-integration　ability　of　the　artificial　visual　neurons　can　provide　assistance　for　constructing　more　efficient　and　low-power　artificial　visual　perception　systems,　which　has　a　broad　application　prospect.　©　2024　IEEE.