Synchronization　widely　exists　in　brain　networks　and　plays　a　significant　role　in　the　transmission　and　processing　of　signals　in　cognitive　processes.　Abnormal　synchronization　can　lead　to　neurological　and　psychiatric　disorders　such　as　schizophrenia　and　Alzheimer＇s　disease.　It　is　an　essential　and　challenging　task　to　design　a　controller　achieve　synchronization　between　different　brain　regions.　This　paper　aims　to　investigate　the　synchronization　problem　of　two　nonidentical　neural　populations.　Error　feedback　controller　are　proposed　to　achieve　synchronization　between　two　nonidentical　neural　populations.　In　addition,　the　sufficient　conditions　of　synchronization　are　provided　by　utilizing　Lurie　system　theory　and　the　concept　of　dissipativity.　The　numerical　simulations　used　two　types　of　Wendling　neural　mass　models.　One　type　of　model　can　be　coupled　to　form　a　neural　network　which　could　help　to　investigate　synchronization　on　macro　level.　And　the　other　model　can　simulate　realistic　rapid　brainwave　activity　related　to　the　integration　of　multiple　sensory　perceptions.