论文标题
数学分析体内频率依赖性突触可塑性的数学分析建议的神经信息传递中的多模编码
Multicoding in neural information transfer suggested by mathematical analysis of the frequency-dependent synaptic plasticity in vivo
论文作者
论文摘要
神经信息处理的两个要素主要提出：神经元的发射率和尖峰时间。在突触可塑性的情况下，尽管峰值依赖性可塑性（STDP）取决于突触前和突触后峰值时间，但被认为是最常见的规则，但最近的研究表明，大脑在体内的抑制性质对于精确的尖峰时序，这对于STDP至关重要。因此，再次确认了发射频率在体内突触可塑性中的重要性。但是，关于如何在体内调节频率依赖性突触可塑性（FDP）的知识很少。在这里，我们专注于突触前的输入模式，细胞内钙衰减时间常数和背景突触活动，它们取决于神经元类型以及大脑中的解剖学和生理环境。通过分析基于钙的模型，我们发现突触重量在体内特征的特征，即使神经元获得相同的输入率，突触重量也有所不同。这一发现表明，除了输入频率外，在体内甚至神经编码中都涉及多面因子。
Two elements of neural information processing have primarily been proposed: firing rate and spike timing of neurons. In the case of synaptic plasticity, although spike-timing-dependent plasticity (STDP) depending on presynaptic and postsynaptic spike times had been considered the most common rule, recent studies have shown the inhibitory nature of the brain in vivo for precise spike timing, which is key to the STDP. Thus, the importance of the firing frequency in synaptic plasticity in vivo has been recognized again. However, little is understood about how the frequency-dependent synaptic plasticity (FDP) is regulated in vivo. Here, we focused on the presynaptic input pattern, the intracellular calcium decay time constants, and the background synaptic activity, which vary depending on neuron types and the anatomical and physiological environment in the brain. By analyzing a calcium-based model, we found that the synaptic weight differs depending on these factors characteristic in vivo, even if neurons receive the same input rate. This finding suggests the involvement of multifaceted factors other than input frequency in FDP and even neural coding in vivo.
