  In this paper, the early design of our self-organized agent-based simulation
model for exploration of synaptic connections that faithfully generates what is
observed in natural situation is given. While we take inspiration from
neuroscience, our intent is not to create a veridical model of processes in
neurodevelopmental biology, nor to represent a real biological system. Instead,
our goal is to design a simulation model that learns acting in the same way of
human nervous system by using findings on human subjects using reflex
methodologies in order to estimate unknown connections.
