In this paper, a fully functioning Pavlov associative memory system, one of the most famous examples of the biological brain function, is implemented by a basis of rate coding. In order to create a neural signal which is capable of emulating the synaptic weight based on rate coding, a neural signal is constructed by utilizing telegraphic switching of the magnetic tunnel junction (MTJ), a random magnetization reversal phenomenon. Spike rate of the MTJ neuron is controllable by adjusting the STT current bias, creating signals with rate information that is capable of implementing rate coding scheme as a weight update method for the TiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> memristor synapse. The proposed neuron creates random spike signals containing rate information, which participates in emulating Pavlov associative memory characteristics such as learning and forgetting, as well as rate controlling characteristics. The suggested structure shows a coding scheme which both input and output neurons participate, which can be expanded to larger neuromorphic neural network applications.