diff --git a/src/genn/genn/synapseGroup.cc b/src/genn/genn/synapseGroup.cc
index b70dd97b13..01a4446700 100644
--- a/src/genn/genn/synapseGroup.cc
+++ b/src/genn/genn/synapseGroup.cc
@@ -404,6 +404,11 @@ bool SynapseGroup::isDendriticDelayRequired() const
         return true;
     }
 
+    // If addToInSynDelay function is used in event code, return true
+    if(getWUModel()->getEventCode().find("$(addToInSynDelay") != std::string::npos) {
+        return true;
+    }
+
     // If addToInSynDelay function is used in synapse dynamics, return true
     if(getWUModel()->getSynapseDynamicsCode().find("$(addToInSynDelay") != std::string::npos) {
         return true;
diff --git a/tests/unit/synapseGroup.cc b/tests/unit/synapseGroup.cc
index 2076384bc4..59b15c392c 100644
--- a/tests/unit/synapseGroup.cc
+++ b/tests/unit/synapseGroup.cc
@@ -168,6 +168,28 @@ class Continuous : public WeightUpdateModels::Base
 };
 IMPLEMENT_MODEL(Continuous);
 
+class ContinuousDenDelay : public WeightUpdateModels::Base
+{
+public:
+    DECLARE_MODEL(ContinuousDenDelay, 0, 1);
+
+    SET_VARS({{"g", "scalar"}});
+
+    SET_SYNAPSE_DYNAMICS_CODE("$(addToInSynDelay, $(g) * $(V_pre), 1);\n");
+};
+IMPLEMENT_MODEL(ContinuousDenDelay);
+
+class GradedDenDelay : public WeightUpdateModels::Base
+{
+public:
+    DECLARE_MODEL(GradedDenDelay, 0, 1);
+
+    SET_VARS({{"g", "scalar"}});
+    SET_EVENT_THRESHOLD_CONDITION_CODE("$(V_pre) >= 0.1");
+    SET_EVENT_CODE("$(addToInSynDelay, $(g)*$(V_pre), 1);");
+};
+IMPLEMENT_MODEL(GradedDenDelay);
+
 class PostRepeatVal : public InitVarSnippet::Base
 {
 public:
@@ -902,6 +924,42 @@ TEST(SynapseGroup, InvalidMatrixTypes)
     }
 }
 
+TEST(SynapseGroup, IsDendriticDelayRequired)
+{
+    NeuronModels::Izhikevich::ParamValues paramVals(0.02, 0.2, -65.0, 8.0);
+    NeuronModels::Izhikevich::VarValues varVals(0.0, 0.0);
+
+    ModelSpec model;
+    model.addNeuronPopulation<NeuronModels::Izhikevich>("Pre", 10, paramVals, varVals);
+    model.addNeuronPopulation<NeuronModels::Izhikevich>("Post", 10, paramVals, varVals);
+
+    WeightUpdateModels::StaticPulseDendriticDelay::VarValues staticPulseDendriticVarVals(0.1, 1);
+    GradedDenDelay::VarValues gradedDenDelayVarVars(0.1);
+    ContinuousDenDelay::VarValues contDenDelayVarVars(0.1);
+
+    auto *syn = model.addSynapsePopulation<WeightUpdateModels::StaticPulseDendriticDelay, PostsynapticModels::DeltaCurr>(
+            "Syn", SynapseMatrixType::DENSE_GLOBALG, NO_DELAY,
+            "Pre", "Post",
+            {}, staticPulseDendriticVarVals,
+            {}, {});
+
+    auto *synGraded = model.addSynapsePopulation<GradedDenDelay, PostsynapticModels::DeltaCurr>(
+            "SynGraded", SynapseMatrixType::DENSE_GLOBALG, NO_DELAY,
+            "Pre", "Post",
+            {}, gradedDenDelayVarVars,
+            {}, {});
+
+    auto *synContinuous = model.addSynapsePopulation<ContinuousDenDelay, PostsynapticModels::DeltaCurr>(
+            "SynContinuous", SynapseMatrixType::DENSE_GLOBALG, NO_DELAY,
+            "Pre", "Post",
+            {}, contDenDelayVarVars,
+            {}, {});
+
+    ASSERT_TRUE(syn->isDendriticDelayRequired());
+    ASSERT_TRUE(synGraded->isDendriticDelayRequired());
+    ASSERT_TRUE(synContinuous->isDendriticDelayRequired());
+}
+
 TEST(SynapseGroup, InvalidName)
 {
     NeuronModels::Izhikevich::ParamValues paramVals(0.02, 0.2, -65.0, 8.0);