The neural data association (DA) process during apparent motion perception in the human visual system is investigated and principles of the associated process are examined. From the theory of human motion perception, a novel DA algorithm was developed and the algorithm was applied to the DA problem arising in radar target tracking. The authors review radar tracking operations, discuss problems with current DA techniques, and present a derivation of the neural track and DA algorithm. A computer simulation was performed for target tracking in a clutter environment, and the performance is compared with other classical DA techniques. >