Image preprocessing with dynamic synapses

Different algorithms suitable for a specific class of picture were developed for image processing. We will represent the filtering capability of a spiking neural network based on dynamic synapses. For this intention we chose an x-ray image of the human coronary trees and another noisy image. In other words the task at hand is to show how accurately such a network is able to store various aspects (object/background) of stimulus in the variables which describe dynamic of synaptic response. The behavior of these synapses influences the effective connection in the network in a short time-scale. Such a network has a low activity and a balanced behavior. Dynamic synapses are able to adjust their behavior by fast changing stimuli. These synapses retain the information in the variables, such as potential and time.