  Patterns in complex systems store hidden information of the system which is
needed to be explored. We present a simple model of cytokine and T-cells
interaction and studied the model within stochastic framework by constructing
Master equation of the system and solving it. The solved probability
distribution function of the model show classical Poisson pattern in the large
population limit $M,Z\rightarrow large$ indicating the system has the tendency
to attract a large number small-scale random processes of the cytokine
population towards the basin of attraction of the system by segregating from
nonrandom processes. Further, in the large $\langle Z\rangle$ limit, the
pattern transform to classical Normal pattern, where, uncorrelated small-scale
fluctuations are wiped out to form a regular but memoryless spatiotemporal
aggregated pattern. The estimated noise using Fano factor shows clearly that
the cytokine dynamics is noise induced process driving the system far away from
equilibrium.
