Artificial　synaptic　devices　serve　as　the　cornerstone　of　artificial　neural　networks,　much　research　is　devoted　to　the　development　of　artificial　synaptic　devices　with　multiple　functions　for　the　future　construction　of　large-scale　artificial　neural　networks.　By　adding　optical　signal　output　to　traditional　synaptic　devices,　the　strategy　of　transforming　the　devices　from　a　single　electrical　interconnection　to　an　optoelectronic　interconnection　is　considered　to　be　an　effective　way　to　solve　the　problem　of　wire　cross-talk　in　large-scale　artificial　neural　networks.　Herein,　a　quantum-dot　light-emitting　synaptic　transistor　capable　of　dual　output　of　optoelectronic　signals　by　integrating　the　functions　of　light-emitting　transistor　and　synaptic　transistor　into　a　single　device　is　demonstrated　for　the　first　time.　Based　on　the　novel　working　mechanism　and　the　excellent　optoelectronic　properties　of　quantum　dots,　the　device　can　exhibit　dual　responses　of　electrical　and　optical　signals　under　electrical　pulse　stimulation.　More　importantly,　some　key　synaptic　functions　such　as　excitatory　postsynaptic　current,　paired　pulse　facilitation,　high-pass　filtering　properties,　and　the　transition　from　short-term　memory　to　long-term　memory　are　successfully　simulated　in　the　device.　In　addition,　classical　conditioned　reflex　experiments　as　well　as　the　processes　of　learning　and　forgetting　are　optically　and　electrically　simulated.　This　work　provides　a　feasible　way　to　realize　multivariate　artificial　neural　networks　with　high　integration　and　optoelectronic　interconnection　to　transmit　information,　showing　great　potential　in　the　development　of　neuromorphic　computing　in　the　future.