Harvey R J
Brain Res. 1978 Jul 14;150(2):259-76. doi: 10.1016/0006-8993(78)90279-2.
A relatively simple neuronal model with a large number of 'synaptic' inputs is described. The model has been extensively studied in order to investigate the influence which patterns of presynaptic firing may have upon the pattern of output firing. The model has been studied in two versions. In one the threshold remained constant, while in the other the threshold was increased following an output firing. This increase in threshold decayed with time and was analogous to the after-hyperpolarization of a real neurone. The effect on the frequency of output firing of changes in the threshold and of the overall input rate were studied in detail. The pattern of output firing was studied for two patterns of input firing. In one, each presynaptic input fired steadily, each at a different rate; in the other, the input firings were randomly distributed in time, being generated by a Poisson process. It was found that, for a given total input rate, the pattern of output firing was markedly more regular when the input processes were regular, even though the mean rate of output firing was not appreciably different for the two different distributions of input firings. It is shown that, with suitable parameters for the model, it is possible to mimic very closely the discharge of tonically discharging motoneurones under different experimental conditions. This suggests that the more general properties of the model may have considerable relevance to the way in which real neurones integrate their synaptic input.
描述了一种具有大量“突触”输入的相对简单的神经元模型。为了研究突触前发放模式可能对输出发放模式产生的影响，对该模型进行了广泛研究。该模型有两个版本。在一个版本中，阈值保持恒定，而在另一个版本中，阈值在输出发放后会升高。这种阈值升高随时间衰减，类似于真实神经元的超极化后电位。详细研究了阈值变化和总体输入速率对输出发放频率的影响。针对两种输入发放模式研究了输出发放模式。在一种模式中，每个突触前输入以不同速率稳定发放；在另一种模式中，输入发放随时间随机分布，由泊松过程产生。结果发现，对于给定的总输入速率，当输入过程规则时，输出发放模式明显更规则，尽管两种不同输入发放分布下的输出发放平均速率没有明显差异。结果表明，通过为模型设置合适的参数，有可能非常接近地模拟不同实验条件下紧张性发放运动神经元的放电情况。这表明该模型的更一般特性可能与真实神经元整合其突触输入的方式密切相关。
