Frijns J H, ten Kate J H
Applied Physics Department, Technical University Delft, The Netherlands.
Med Biol Eng Comput. 1994 Jul;32(4):391-8. doi: 10.1007/BF02524690.
Starting with the spatially extended non-linear node model (Reilly et al., 1985), which incorporates Frankenhaeuser-Huxley non-linearities at each of several nodes in a row, a model is developed to describe many aspects of the behaviour of mammalian nerve fibres in a quantitative way. By taking into account the effects of temperature and by introducing a realistic nerve morphology, a good fit is obtained between the shape, duration and conduction velocity of simulated and in vivo action potentials in mammals. The resulting model correctly predicts the influence of physiological variations of body temperature on various aspects of nerve behaviour. It is shown that the absolute refractory period predicted by the model is within physiological ranges. Both in vivo and in the model, the spike amplitude and the spike conduction velocity are reduced in the relative refractory period. It is concluded that single-node models (although widely used) cannot replace this multiple nonlinear node model, as the stimulus repetition rates that can be followed by the simulated nerve fibre are limited by impulse conduction properties, rather than by the frequency following behaviour of a single node.
从空间扩展非线性节点模型(Reilly等人,1985年)开始,该模型在一排多个节点中的每个节点处纳入了Frankenhaeuser-Huxley非线性,开发了一个模型以定量方式描述哺乳动物神经纤维行为的许多方面。通过考虑温度的影响并引入逼真的神经形态,模拟的和体内哺乳动物动作电位的形状、持续时间和传导速度之间获得了良好的拟合。所得模型正确地预测了体温生理变化对神经行为各个方面的影响。结果表明,该模型预测的绝对不应期在生理范围内。在体内和模型中,相对不应期内的峰电位幅度和峰电位传导速度均降低。得出的结论是,单节点模型(尽管广泛使用)不能替代这种多非线性节点模型,因为模拟神经纤维能够跟随的刺激重复率受冲动传导特性限制,而不是受单个节点的频率跟随行为限制。