Sensory motor control of wing beat in locust

In this paper, a neural network architecture is proposed for sensory motor control of wing beat in a locust. The proposed neural network model is based on the neural anatomy and function of the neurons and sense organs involved in the flight control of wing beat in a locust. This model consists of a central pattern generator and a sensory motor network. Both the central nervous mechanisms and the sensory feedback are essential for the generation of the rhythmic output in the motoneuron. A larger input amplitude results in a higher frequency of the central pattern generator signal through a shorter down-strike duration. The feedback from sensory organs increase the wing beat frequency by generating an early, rapid increasing component and by modifying the late component of the elevator motoneuron activity. The model predictions are in qualitative agreement with the corresponding data