Memristors are electionic devices, which are widely used in neuromorphic circuit design, because they exhibit some superior properties such as memory and nonlinear behavior. Previous nonvolatile memristor based associative learning, which is a type of learning mechanism using circuits, has not taken into account the time interval between neutral stimulus and its effect on the circuit, after a long time-lapse. In this paper, a volatile memristor is used instead of a fully nonvolatile memristor in an effort to provide the sensitivity required for the time interval between applied pulses. Also, compared with previous studies, the response of the volatile memristor based circuit is sensitive to additional input applied pulses. All simulations presented in this work were successfully carried out.