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Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model

机译:基于Hodgkin-Huxley模型的神经能供耗特性

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摘要

Electrical activity is the foundation of the neural system. Coding theories that describe neural electrical activity by the roles of action potential timing or frequency have been thoroughly studied. However, an alternative method to study coding questions is the energy method, which is more global and economical. In this study, we clearly defined and calculated neural energy supply and consumption based on the Hodgkin-Huxley model, during firing action potentials and subthreshold activities using ion-counting and power-integral model. Furthermore, we analyzed energy properties of each ion channel and found that, under the two circumstances, power synchronization of ion channels and energy utilization ratio have significant differences. This is particularly true of the energy utilization ratio, which can rise to above 100% during subthreshold activity, revealing an overdraft property of energy use. These findings demonstrate the distinct status of the energy properties during neuronal firings and subthreshold activities. Meanwhile, after introducing a synapse energy model, this research can be generalized to energy calculation of a neural network. This is potentially important for understanding the relationship between dynamical network activities and cognitive behaviors.
机译:电活动是神经系统的基础。已经详细研究了通过动作电位时间或频率的作用描述神经电活动的编码理论。但是,研究编码问题的另一种方法是能量方法,它更具全局性和经济性。在这项研究中,我们使用离子计数和功率积分模型,根据霍奇金-赫克斯利模型清晰地定义和计算了神经元的能量供应和消耗,并计算了射击动作电位和亚阈值活动期间的神经能量供应和消耗。此外,我们分析了每个离子通道的能量特性,发现在两种情况下,离子通道的功率同步和能量利用率都存在显着差异。能量利用率尤其如此,在低于阈值的活动过程中,能量利用率可能上升到100%以上,从而揭示了能量使用的透支特性。这些发现证明了神经元放电和阈下活动期间能量特性的独特状态。同时,在引入突触能量模型之后,该研究可以推广到神经网络的能量计算。这对于理解动态网络活动与认知行为之间的关系具有潜在的重要意义。

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