Under　spatially　point　measurements　(SPMs),　this　paper　introduces　a　fault-tolerant　event-triggered　sampled-data　(FETSD)　control　for　the　output　synchronization　of　reaction-diffusion　neural　networks　(RDNNs).　Considering　the　possible　actuator　failure　and　to　reduce　the　communication　burden,　a　FETSD　control　method　presented　by　linear　matrix　inequalities　(LMIs)　conditions　is　designed　according　to　an　appropriate　Lyapunov　functional　(LF)　and　inequality　techniques,　which　can　guarantee　the　exponential　stability　of　the　synchronization　error　system.　Lastly,　one　numerical　example　is　presented　to　illustrate　the　effectiveness　of　the　designed　strategy.　©　2024　IEEE.