Incorporating　optoelectronic　integrated　capability　into　artificial　neurons　can　offer　critical　benefits　of　tunable　device　properties,　diverse　functions,　and　efficient　computing　capacity　for　artificial　intelligent　system.　However,　current　reports　are　mostly　focused　on　artificial　neurons　using　an　electric-driving　mono-mode,　while　a　facile　and　efficient　approach　to　integrate　electrical　and　optical　signals　is　still　lacking.　Herein,　a　multifunctional　optoelectronic　hybrid-integrated　neuron　based　on　Ag　nanoparticles-decorated　MXene　is　proposed　to　achieve　optoelectronic　spatiotemporal　information　integration　with　low　operating　voltage　of　0.93　V　and　high　on/off　ratio　of　103,　which　are　superior　to　those　of　majority　of　artificial　neurons.　An　integrated　visual　perception　system　is　developed　by　integrating　artificial　synapses,　artificial　optoelectronic　neuron　and　robotic　hand　to　emulate　human　conditional　response.　By　integrating　the　optical　sensory　signals　and　electrical　training　signals,　the　response　time　of　the　system　is　significantly　reduced.　Finally,　benefiting　from　the　ability　of　spatiotemporal　information　integration,　a　multi-task　pattern　recognition　in　the　spiking　neural　network　composed　of　artificial　synapses　and　neurons　is　completed,　which　can　simultaneously　recognize　the　digit　patterns　and　rotation　angles.　Hence,　this　work　exhibits　the　superiority　in　sensory　and　recognition　tasks,　which　can　pave　the　way　for　future　application　in　neuromorphic　circuits.　©　2022　Elsevier　Ltd