Complexity parameter vis-a-vis interaction systems: Application to neurocybernetics

Based on the considerations of statistical mechanics and related deliberations which can be adopted to describe the spatiotemporal activities of massively interconnected neurons, an algorithm is developed in this paper to describe the complexity of neurocellular interactivity. Hence, a complexity parameter is deduced in terms of the order parameter of the neural system depicting the associated entropy of the disorder involved. Computed results are presented and discussed.