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Computation of Time-dependent Probabilities of Vesicle Release and Binding of Neurotransmitters of Postsynaptic Neuron
Journal of Scientific & Industrial Research ( IF 0.6 ) Pub Date : 2020-05-15
Sashmita Panda, Ganapati Panda

When a postsynaptic neuron receives a spike from the axon, its synapse releases neurotransmitters to the synaptic cleft. The probability of vesicle release depends on the amount of calcium ions. The concentration of calcium ions keeps on changing with time. The opening and closing of these channels is controlled by the calcium ion gates operating at different rates. Similarly, the binding of neurotransmitters to the membrane depends on the number of receptors. The existing literature considers probabilities of vesicle release and binding of neurotransmitters as constants. In practice, these two probabilities are time-dependent. This issue is addressed in this paper and new derivations of the time-varying nature of these two probabilities are obtained from simulation study and analysis. The present investigation of estimation of these two time-dependent probabilities will help to develop improved nanoscale neuronal communication models.

中文翻译:

囊泡释放与突触后神经元神经递质结合的时间依赖性概率的计算

当突触后神经元收到来自轴突的尖峰时,其突触将神经递质释放到突触间隙。囊泡释放的可能性取决于钙离子的量。钙离子的浓度随时间不断变化。这些通道的打开和关闭由以不同速率运行的钙离子门控制。类似地,神经递质与膜的结合取决于受体的数量。现有文献认为囊泡释放和神经递质结合的概率为常数。实际上,这两个概率是时间相关的。本文解决了这个问题,并且通过仿真研究和分析获得了这两个概率的时变性质的新推导。
更新日期:2020-05-15
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