2+) spiking in neurons generates versatile intracellular signals that control key functions s'/> A model screening framework for the generation of Ca2+ oscillations in hippocampal neurons using differential evolution
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A model screening framework for the generation of Ca2+ oscillations in hippocampal neurons using differential evolution

机译:使用差分演进的海马神经元中CA 2 + / sup>振荡的模型筛选框架

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Calcium (Ca2+) spiking in neurons generates versatile intracellular signals that control key functions such as synaptic plasticity, synchronicity, cell differentiation, and migration. Although there has been a significant effort towards constructing biophysical models of Ca2+ oscillations in astrocytes, models capturing neuronal oscillations are limited. Moreover, a comparison of simulated results and experimental data remains sparse. Specifically, it remains challenging to estimate the kinetic parameters of non-linear models generating oscillatory output. We propose a tool for selecting a suitable model on the basis of frequency based objective function using differential evolution. In order to measure the Ca2+ spiking in hippocampal neurons, we used fluorescent labeling and confocal imaging. The results show that the tool can guide in the selection of model yielding comparable frequency obtained from imaging experiments. We performed further validation using Ca2+ oscillations in multiple cells. The proposed tool can be used for ranking of models and generation of Ca2+ oscillations for various neuron types.
机译:钙(CA. 2 + )神经元的尖峰产生通用的细胞内信号,可控制突触塑性,同步性,细胞分化等关键功能,以及迁移。虽然建立了CA的生物物理模型一直努力 2 + 星形胶质细胞的振动,捕获神经元振荡的模型是有限的。此外,模拟结果和实验数据的比较保持稀疏。具体地,估计产生振荡输出的非线性模型的动力学参数仍然具有挑战性。我们提出了一种用于基于基于频率演进的频率的目标函数选择合适模型的工具。为了测量CA 2 + 在海马神经元飙升,我们使用荧光标记和共焦成像。结果表明,该工具可以在选择模型的选择中引导从成像实验获得的可比频率。我们使用CA进行了进一步的验证 2 + 多个细胞中的振荡。所提出的工具可用于排名模型和CA的产生 2 + 各种神经元类型的振动。

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