Organic　synaptic　transistors　with　excellent　solution　processability　and　biocompatibility　have　emerged　as　artificial　electronic　synapses.　Regular　organic　synaptic　transistors　suffer　from　slight　conductance　variation　and　asymmetric　conductance　tuning,　limiting　the　development　of　the　model　perception　accuracy　of　the　organic　neuromorphic　systems.　Here,　we　first　develop　an　electret-based　vertical　organic　synaptic　transistor　(EVOST)　with　Mxene　as　the　source　electrode.　The　EVOST　achieves　linear　conductance　tuning　by　leveraging　the　nanoscale　carrier　transport　channel　length　and　high　conductivity　of　MXene.　Moreover,　we　develop　an　artificial　neural　recognition　system　composed　of　EVOSTs　for　recognizing　the　random　images　from　the　database,　which　achieves　outstanding　perception　accuracy　of　94.9%.　The　EVOST　provides　an　alternative　way　for　neuromorphic　computing　networks.