We　propose　a　method　to　predict　human　saccadic　scanpaths　on　natural　images　based　on　a　bio-inspired　visual　attention　model.　The　method　integrates　three　related　factors　as　driven　forces　to　guide　eye　movements,　sequentially　visual　saliency,　winner-takes-all　and　visual　memory,　respectively.　When　predicting　a　current　fixation　of　saccadic　scanpaths,　we　follow　physiological　visual　memory　characteristics　to　eliminate　the　effects　of　the　previous　selected　fixation.　Then,　we　use　winner-takes-all　to　select　the　fixation　on　the　current　saliency　map.　Experimental　results　demonstrate　that　the　proposed　model　outperform　other　methods　on　both　static　fixation　locations　and　dynamic　scanpaths.　©　Springer　International　Publishing　Switzerland　2014.