Biological understandings have served as the basis for new computational approaches. A prime example is artificial
neural nets which are based on the biological understanding of the trainability of neural synapses. In this paper, we will
investigate features of the biological vision system to see if they can also be exploited. These features are 1) the
neuron’s refractory period - the period of time after the neuron fires before it can fire again and 2) the ocular
microtremor which moves the retinal neural array relative to the image. The short term memory due to the refractory
period allows the before and after movement views to be compared. This paper will discuss the investigation of the
implications of these two features.