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Energy expenditure computation of a single bursting neuron

机译:单一破裂神经元的能量支出计算

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Brief bursts of high-frequency spikes are a common firing pattern of neurons. The cellular mechanisms of bursting and its biological significance remain a matter of debate. Focusing on the energy aspect, this paper proposes a neural energy calculation method based on the Chay model of bursting. The flow of ions across the membrane of the bursting neuron with or without current stimulation and its power which contributes to the change of the transmembrane electrical potential energy are analyzed here in detail. We find that during the depolarization of spikes in bursting this power becomes negative, which was also discovered in previous research with another energy model. We also find that the neuron's energy consumption during bursting is minimal. Especially in the spontaneous state without stimulation, the total energy consumption (2.152x10(-7)J) during 30s of bursting is very similar to the biological energy consumption (2.468x10(-7)J) during the generation of a single action potential, as shown in Wang et al. (Neural Plast 2017, 2017a). Our results suggest that this property of low energy consumption could simply be the consequence of the biophysics of generating bursts, which is consistent with the principle of energy minimization. Our results also imply that neural energy plays a critical role in neural coding, which opens a new avenue for research of a central challenge facing neuroscience today.
机译:高频尖峰的简要爆发是神经元的常见烧制模式。突破的细胞机制及其生物意义仍然是辩论问题。专注于能量方面,本文提出了一种基于爆破模型的神经能量计算方法。详细地分析了在此详细分析突破神经元的卷绕神经元的膜的离子流动及其功率,这是有助于跨膜电位能量的变化的功率。我们发现,在爆破尖峰的去极化期间,这种功率变为负面,在以前的另一个能量模型的研究中也被发现。我们还发现神经元在破裂期间的能量消耗最小。特别是在没有刺激的自发状态下,30多次爆裂期间的总能量消耗(2.152x10(-7)j)与生物能量消耗(2.468x10(-7)j)非常类似于生成单一动作电位,如Wang等人所示。 (2017年,2017年的神经塑料)。我们的结果表明,这种低能量消耗的性质可能只是产生突发的生物物理学的结果,这与能量最小化原则一致。我们的结果暗示神经能量在神经编码中起着关键作用,这开启了目前神经科学面临的中央挑战的新途径。

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