School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.
Sci Rep. 2017 Apr 3;7:45684. doi: 10.1038/srep45684.
Dendritic Ca spike endows cortical pyramidal cell with powerful ability of synaptic integration, which is critical for neuronal computation. Here we propose a two-compartment conductance-based model to investigate how the Ca activity of apical dendrite participates in the action potential (AP) initiation to affect the firing properties of pyramidal neurons. We have shown that the apical input with sufficient intensity triggers a dendritic Ca spike, which significantly boosts dendritic inputs as it propagates to soma. Such event instantaneously shifts the limit cycle attractor of the neuron and results in a burst of APs, which makes its firing rate reach a plateau steady-state level. Delivering current to two chambers simultaneously increases the level of neuronal excitability and decreases the threshold of input-output relation. Here the back-propagating APs facilitate the initiation of dendritic Ca spike and evoke BAC firing. These findings indicate that the proposed model is capable of reproducing in vitro experimental observations. By determining spike initiating dynamics, we have provided a fundamental link between dendritic Ca spike and output APs, which could contribute to mechanically interpreting how dendritic Ca activity participates in the simple computations of pyramidal neuron.
树突钙峰赋予皮质锥体神经元强大的突触整合能力,这对神经元计算至关重要。在这里,我们提出了一个两室电导基模型,以研究树突钙活动如何参与动作电位(AP)的起始,从而影响锥体神经元的放电特性。我们已经表明,足够强度的树突顶端输入会引发树突钙峰,当它传播到胞体时,会显著增强树突输入。这种事件会瞬间改变神经元的极限环吸引子,导致 AP 的爆发,从而使其放电率达到平台稳定状态水平。同时向两个腔室施加电流会增加神经元的兴奋性水平,并降低输入-输出关系的阈值。这里,逆行 AP 有助于引发树突钙峰并引发 BAC 放电。这些发现表明,所提出的模型能够重现体外实验观察。通过确定起始动力学,我们在树突钙峰和输出 AP 之间建立了基本联系,这有助于从机械上解释树突钙活动如何参与锥体神经元的简单计算。