In　this　paper,　a　two-layer　network　is　built　to　simulate　the　mechanism　of　visual　selection　and　shifting　based　on　the　mapping　dynamic　model　for　instantaneous　frequency.　Unlike　the　differential　equation　model　using　limit　cycle　to　simulate　neuron　oscillation,　we　build　an　instantaneous　frequency　mapping　dynamic　model　to　describe　the　change　of　the　neuron　frequency　to　avoid　the　difficulty　of　generating　limit　cycle.　The　activity　of　the　neuron　is　rebuilt　based　on　the　instantaneous　frequency　and　in　this　work,　we　use　the　first　layer　of　neurons　to　implement　image　segmentation　and　the　second　layer　of　neurons　to　act　as　visual　selector.　The　frequency　of　the　second　neuron　(central　neuron)　is　always　changing,　while　central　neuron　resonates　with　the　neurons　corresponding　to　an　object,　the　object　is　selected,　then　with　the　central　neuron　frequency　changing,　the　selected　object　loses　attention,　the　process　goes　on.