Biological　studies　have　found　that　the　grid　cells　in　the　entorhinal　cortex　of　the　rat　brain　structure　and　the　place　cells　in　the　hippocampus　structure　have　a　mutual　input　and　output　cyclic　relationship　in　the　process　of　information　transmission,　from　entorhinal　cortex-hippocampus　information　transfer　loop.　The　traditional　neural　network　model　from　grid　cells　to　place　cells　is　not　enough　to　satisfy　the　information　transmission　relationships,　ignores　the　information　transfer　from　place　cells　to　grid　cells,　to　solve　this　problem,　a　neural　network　model　based　on　grid　cells　in　entorhinal　cortex　and　place　cells　in　hippocampus　information　transfer　loop　is　proposed.　The　simulation　results　show　that　the　model　can　simulate　the　firing　characteristics　of　place　cells　and　grid　cells.　©　2020　IEEE.