da Silva A J, Lima R F, Moret M A
Departamento de Fisiologia e Biofísica, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, CEP 31270-910 Belo Horizonte, Minas Gerais, Brazil.
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Oct;84(4 Pt 1):041925. doi: 10.1103/PhysRevE.84.041925. Epub 2011 Oct 21.
We study time series and the spontaneous miniature end-plate potentials (MEPPs) of mammals recorded at neuromuscular junctions using two different approaches: generalized thermostatistics and detrended fluctuation analysis (DFA). Classical concepts establish that the magnitude of these potentials is characterized by Gaussian statistics and that their intervals are randomly displayed. First we show that MEPP distributions adequately satisfy the q-Gaussian distributions that maximize the Tsallis entropy, indicating their nonextensive and nonequilibrium behavior. We then examine the intervals between the miniature potentials via DFA, where the profile of the intervals between events configures a deviation from the expected random behavior. Some possible physiological substrates for these findings are discussed.
我们使用两种不同的方法研究哺乳动物神经肌肉接头处记录的时间序列和自发微小终板电位(MEPPs):广义统计热力学和去趋势波动分析(DFA)。经典概念表明,这些电位的大小由高斯统计表征,且其时间间隔是随机分布的。首先,我们表明MEPP分布充分满足使Tsallis熵最大化的q-高斯分布,这表明它们具有非广延性和非平衡行为。然后,我们通过DFA检查微小电位之间的时间间隔,其中事件之间时间间隔的分布偏离了预期的随机行为。文中讨论了这些发现的一些可能的生理基础。
Phys Rev E Stat Nonlin Soft Matter Phys. 2011-10
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