Fabrication　of　human-like　intelligent　tactile　sensors　is　an　intriguing　challenge　for　developing　human-machine　interfaces.　As　inspired　by　somatosensory　signal　generation　and　neuroplasticity-based　signal　processing,　intelligent　neuromorphic　tactile　sensors　with　learning　and　memory　based　on　the　principle　of　a　triboelectric　nanogenerator　are　demonstrated.　The　tactile　sensors　can　actively　produce　signals　with　various　amplitudes　on　the　basis　of　the　history　of　pressure　stimulations　because　of　their　capacity　to　mimic　neuromorphic　functions　of　synaptic　potentiation　and　memory.　The　time　over　which　these　tactile　sensors　can　retain　the　memorized　information　is　alterable,　enabling　cascaded　devices　to　have　a　multilevel　forgetting　process　and　to　memorize　a　rich　amount　of　information.　Furthermore,　smart　fingers　by　using　the　tactile　sensors　are　constructed　to　record　a　rich　amount　of　information　related　to　the　fingers＇　current　actions　and　previous　actions.　This　intelligent　active　tactile　sensor　can　be　used　as　a　functional　element　for　artificial　intelligence.　Copyright　©　2019　American　Chemical　Society.