Nitric Oxide Diffusion Attributes in Biological and Artificial Environments
Subject Areas : Majlesi Journal of Telecommunication Devices
Keywords: en,
Abstract :
This paper presents a computational study on the dynamic of nitric oxide (NO) in both the biological and artificialenvironments, by the analysis of important nitric oxide diffusion attributes. We apply the compartmental model of NOdiffusion as a formal tool, using a computational neuroscience point of view. The main objective is the analyses of theemergence and dynamic of complex structures, essentially diffusion neighbourhood (DNB), in environments withvolume transmission (VT). The study is performed by the observation of the NO diffusion attributes, the NOdirectionality (NOD), the average influence (AI) and the center of DNB (CDNB). We present a study of the influencesand dependences with respect to associated features to the NO synthesis-diffusion process, and to the differentenvironments where it spreads (non-isotropy and non-homogeneity). The paper is structured into three sets ofexperiences which cover the aforementioned aspects: influence of the NO synthesis process, isolated and multipleprocesses, influence of distance to the element where NO is synthesized, and influence of features of the diffusionenvironment. The developments have been performed in mono bi-and three-dimensional environments, withendothelial cell features. The study contributes the needed formalism to management the dynamic of NO in artificialand biological environments also to quantify the information representation capacity that a type of NO diffusion-basedsignaling presents and their implications in many other underlying neural mechanisms, such as neural recruitment,synchronization of computations between neurons and in the brain activity in general.