Institute for Cognitive Neurodynamics, School of Science, East China University of Science and Technology, Meilong Road 130, Shanghai 200237, P. R. China , School of Information Science and Engineering, East China University of Science and Technology, Meilong 130, Shanghai 200237, P. R. China , Research Institute for Electronic Science, Hokkaido University, N12 W7 Kita-ku, Sapporo, Hokkaido, Japan 001-0012, Japan.
Int J Neural Syst. 2015 May;25(3):1450037. doi: 10.1142/S0129065714500373. Epub 2014 Nov 10.
By re-examining the neuronal activity energy model, we show the inadequacies in the current understanding of the energy consumption associated with neuron activity. Specifically, we show computationally that a neuron first absorbs and then consumes energy during firing action potential, and this result cannot be produced from any current neuron models or biological neural networks. Based on this finding, we provide an explanation for the observation that when neurons are excited in the brain, blood flow increases significantly while the incremental oxygen consumption is very small. We can also explain why external stimulation and perception emergence are synchronized. We also show that negative energy presence in neurons at the sub-threshold state is an essential reason that leads to blood flow incremental response time in the brain rather than neural excitation to delay.
通过重新审视神经元活动能量模型,我们揭示了当前对与神经元活动相关的能量消耗的理解的不足之处。具体来说,我们通过计算表明,神经元在发射动作电位时首先吸收能量,然后消耗能量,而这一结果不能由任何当前的神经元模型或生物神经网络产生。基于这一发现,我们对以下观察结果提供了一种解释:当大脑中的神经元被兴奋时,血流量显著增加,而氧气消耗的增量却非常小。我们还可以解释为什么外部刺激和感知的出现是同步的。我们还表明,神经元在亚阈值状态下存在负能是导致大脑中血流增量响应时间而不是神经兴奋延迟的一个重要原因。