The　global　exponential　synchronization　of　Clifford-valued　memristive　fuzzy　neural　networks　(CLVMFNNs)　with　delayed　impulses　and　time-varying　delays　is　investigated.　The　Clifford-valued　NNs　are　an　extension　of　complex-valued　and　quaternion-valued　NNs.　In　order　to　describe　the　system　as　realistically　as　possible,　Clifford-valued　memristive　fuzzy　neural　networks　with　delayed　impulses　and　time-varying　delays　are　established.　To　avoid　non-commutativity　of　the　multiplication　of　Clifford　numbers,　Clifford-valued　neural　networks　are　decomposed　into　real-valued　neural　networks.　To　explore　the　exponential　stability　of　delayed　impulsive　systems,　a　novel　lemma　is　proposed　by　using　Halanay　differential　inequality.　To　induce　the　global　exponential　synchronization,　a　novel　and　simple　linear　feedback　controller　is　designed.　Sufficient　conditions　are　given　to　ensure　the　global　exponential　synchronization　using　the　proposed　novel　lemma　under　the　designed　feedback　controller.　Compared　with　the　previous　results,　the　conditions　given　in　this　paper　are　more　effective　and　less　conservative.　A　numerical　simulation　is　given　to　verify　the　effectiveness　of　the　theoretical　results.