Nitric Oxide Diffusion Attributes in Biological And Artificial Environments: A Computational Study

Majlesi Journal of Electrical Engineering

مقاله 6، دوره 5، شماره 1، خرداد 2011   

نوع مقاله: Review Article

شناسه دیجیتال (DOI): 10.1234/mjee.v5i1.403

نویسندگان

Carmen Paz Suárez Araujo^* ؛ Pablo Fernández López؛ Patricio García Báez

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چکیده

This paper presents a computational study on the dynamic of nitric oxide (NO) in both the biological and artificial environments, by means the analysis of important nitric oxide diffusion attributes, which are defined in this work. We apply the compartmental model of NO diffusion as a formal tool, using a computational neuroscience point of view. The main objective is the analyses of the emergence and dynamic of complex structures, essentially diffusion neighbourhood (DNB), in environments with volume transmission (VT). The study is performed by the observation of the NO diffusion attributes, the NO directionality (NOD), the average influence (AI) and the center of DNB (CDNB). We present a study of the influences and dependences with respect to associated features to the NO synthesis-diffusion process, and to the different environments where it spreads (non-isotropy and non-homogeneity). The paper is structured into three sets of experiences which cover the aforementioned aspects: influence of the NO synthesis process, isolated and multiple processes, influence of distance to the element where NO is synthesized, and influence of features of the diffusion environment. The developments have been performed in mono bi-and three-dimensional environments, with endothelial cell features. The study contributes the needed formalism to management the dynamic of NO in artificial an biological environments also to quantify the information representation capacity that a type of NO diffusion-based signaling 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.一氧化氮擴散屬性生物和人工環境：計算研究卡門拉巴斯蘇亞雷斯阿勞霍，巴勃羅·費爾南德斯·洛佩斯，帕特里西奧·加西亞·貝茲摘要本文對一氧化氮（NO）的生物和人造環境的動態的計算研究，由裝置的重要的一氧化氮擴散屬性，這是在此工作中定義的分析。我們不應用擴散的房室模型作為一個正式的工具，使用視圖計算神經科學點。其主要目的是在出現的分析和動態複雜的結構，基本上是擴散附近（DNB）與體積傳輸（VT）環境。該研究是由NO擴散屬性，NO的方向性（NOD）的觀察進行的，平均影響（AI）和DNB（CDNB）的中心。我們目前的影響和依賴關係的研究，相對於相關功能的NO合成擴散過程，並在那裡它傳播（非各向同性和非均勻性）在不同的環境。本文的結構分為三組經驗涵蓋上述幾個方面：NO合成過程中的影響力，孤立和多進程，到NO合成元素距離的影響，擴散環境的特徵的影響。的發展已經在單雙向和三維環境中被執行時，與內皮細胞的特徵。該研究有助於所需的形式主義管理NO的動態人工的生物環境也量化信息的表示能力，一個類型沒有基於擴散信號禮物和許多其他潛在的神經機制影響，如神經招聘，同步的神經元之間，並且在一般的大腦活動的計算。

کلیدواژه‌ها

nitric oxide؛ en؛ Artificial Neural Networks؛ Cellular Signalling؛ Volume Transmission؛ Diffusion Neighbourhood

مراجع

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