Institute for Analysis and Scientific Computing, Vienna University of Technology, Wiedner Hauptstrasse, Vienna, Austria.
PLoS One. 2018 Dec 17;13(12):e0209123. doi: 10.1371/journal.pone.0209123. eCollection 2018.
Bipolar cells of the retina are among the smallest neurons of the nervous system. For this reason, compared to other neurons, their delay in signaling is minimal. Additionally, the small bipolar cell surface combined with the low membrane conductance causes very little attenuation in the signal from synaptic input to the terminal. The existence of spiking bipolar cells was proven over the last two decades, but until now no complete model including all important ion channel types was published. The present study amends this and analyzes the impact of the number of model compartments on simulation accuracy. Characteristic features like membrane voltages and spike generation were tested and compared for one-, two-, four- and 117-compartment models of a macaque bipolar cell. Although results were independent of the compartment number for low membrane conductances (passive membranes), nonlinear regimes such as spiking required at least a separate axon compartment. At least a four compartment model containing the functionally different segments dendrite, soma, axon and terminal was needed for understanding signaling in spiking bipolar cells. Whereas for intracellular current application models with small numbers of compartments showed quantitatively correct results in many cases, the cell response to extracellular stimulation is sensitive to spatial variation of the electric field and accurate modeling therefore demands for a large number of short compartments even for passive membranes.
视网膜双极细胞是神经系统中最小的神经元之一。因此,与其他神经元相比,它们的信号延迟非常小。此外,小的双极细胞表面加上低的膜电导,使得从突触输入到末端的信号衰减非常小。过去二十年已经证明了有放电双极细胞的存在,但直到现在,还没有发表过包含所有重要离子通道类型的完整模型。本研究对此进行了修正,并分析了模型隔间数量对模拟准确性的影响。对猕猴双极细胞的 1 个、2 个、4 个和 117 个隔间模型进行了膜电压和尖峰生成等特征的测试和比较。尽管对于低膜电导(被动膜),结果与隔间数量无关,但如放电等非线性状态至少需要一个单独的轴突隔间。至少需要一个包含功能不同的节段——树突、体、轴突和末端的四隔间模型,才能理解放电双极细胞中的信号传递。虽然对于胞内电流应用模型,在许多情况下,少量隔间的模型结果在数量上是正确的,但细胞对细胞外刺激的反应对电场的空间变化很敏感,因此即使对于被动膜,准确的建模也需要大量短隔间。