In order to survive, animal need to be able to respond to their environment flexibly depending on the context and their internal state. For example, in face of aversive stimuli animals need to balance their decisions about avoiding dangers and threats with pursuing food search and these decisions will be modulated by animal’s satiationstate. How changes in the feeding state affect non-feeding related behavior is not well understood. In order to address this question and investigate the neural circuit mechanisms involved, we combine automated behavioral detection, neuronal manipulations, functional imaging and electron microscopy in Drosophila larva. I will present our work on deciphering the neural circuit mechanisms underlying the feeding state-dependent modulation of responses to an aversive mechanical stimulus. I will further discuss our efforts to determine how the information about animal’s state is conveyed to the circuit underlying sensorimotor decisions in response to the mechanical stimulus.