Effects of nonlinear elaborations on the performance of a Reichardt correlator

Abstract

Flying insects are capable of performing complex and extremely diffcult navigational tasks at high speeds withamazing ability. The neural computations underlying these complicated maneuvers and the motor activity ofthe insects have been extensively investigated in the last few decades. One the most important discoverywas that the motion detectors involved in the control of the optomotor responses are of the correlation type. In order to improve the velocity estimation by the Reichardt correlators, many scientists have come up withdifferent kinds of elaborations to the basic Reichardt correlator model.In this paper, we have expanded the Dror"s elaborated Reichardt model and we have included feedbackadaptation and saturation in our model and we have conducted a comparative study on the effects of theaddition of each elaboration on the performance of the model. The relative error in each case is also studied.