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首页> 外文会议>33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society >A two-stage cascade nonlinear dynamical model of single neurons for the separation and quantification of pre- and post-synaptic mechanisms of synaptic transmission
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A two-stage cascade nonlinear dynamical model of single neurons for the separation and quantification of pre- and post-synaptic mechanisms of synaptic transmission

机译：单个神经元的两阶段级联非线性动力学模型，用于分离和量化突触传递之前和之后的突触传递机制

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Neurons receive pre-synaptic spike trains and transform them into post-synaptic spike trains. This spike train to spike train temporal transformation underlies all cognitive functions performed by neurons, e.g., learning and memory. The transformation is a highly nonlinear dynamical process that involves both pre- and post-synaptic mechanisms. The ability to separate and quantify the nonlinear dynamics of pre- and post-synaptic mechanism is needed to gain insights into this transformation. In this study, we developed a Volterra kernel based two-stage cascade model of synaptic transmission using synaptically-driven intracellular activities, to which broadband stimulation conditions were imposed. The first stage of the model represents the pre-synaptic mechanisms and describes the nonlinear dynamical transformation from pre-synaptic spike trains to transmitter vesicle release strengths. The vesicle release strengths were obtained from the intracellularly recorded excitatory post-synaptic currents (EPSCs). The second stage of the model represents the post-synaptic mechanisms and describes the nonlinear dynamical transformation from release strengths to excitatory post-synaptic potentials (EPSPs). One application of this cascade model is to analyze the pre- and post-synaptic mechanism change induced by long-term potentiation (LTP). This future application is expected to shed new light on the expression locus of LTP.
机译：神经元接收突触前突波串并将其转换为突触后突波串。这种尖峰序列到尖峰序列的时间变换是神经元执行的所有认知功能的基础，例如学习和记忆。转换是一个高度非线性的动力学过程，涉及突触前和突触后机制。需要具有分离和量化突触前和突触后机制的非线性动力学的能力，以深入了解这种转变。在这项研究中，我们开发了基于Volterra核的两阶段级联模型的突触传递，使用的是突触驱动的细胞内活动，并对其施加了宽带刺激条件。该模型的第一阶段代表突触前的机制，并描述了从突触前突波序列到递质囊泡释放强度的非线性动力学转换。从细胞内记录的兴奋性突触后电流（EPSCs）获得囊泡释放强度。该模型的第二阶段代表突触后机制，并描述从释放强度到兴奋性突触后电位（EPSP）的非线性动力学转变。该级联模型的一种应用是分析长期增强（LTP）诱导的突触前和突触后机制变化。预期该未来的应用将为LTP的表达基因座提供新的思路。

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