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Effective Current Dipole Model of CA1 Hippocampus Pyramidal Neurons in Rat

机译:大鼠CA1海马金字塔神经元的有效偶极模型

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Magnetic field detection around certain neurons could be used as a method for more localized study of the human brain activity. Many researchers investigated neural magnetic field (NMF) with the fixed current-length dipole models. This simple model cannot consider the complex morphology and time varying current in the neurons. Also calculation of magnetic field around real neuron, because of its numerous extensions, is time consuming. In the present research, we proposed a realistic based dipole model which generates more similar NMF to the actual model. We simulated membrane potential based on bio-physiological properties of CA1 hippocampus pyramidal neurons in rat. We defined the effective dipole with the effective length and the effective position and the effective current parameters for each neuron to calculate the NMF around neuron. Based on the calculation of cross correlation between the NMF of realistic neuron and effective neuron, it proposed the effective dipole model have a good similarity pattern with a realistic model.
机译:某些神经元周围的磁场检测可用作用于更局部化人脑活动的方法。许多研究人员用固定的电流长度偶极模型调查了神经磁场(NMF)。这个简单的模型不能考虑神经元中的复杂形态和时变电流。此外,还在真神经元周围的磁场计算,因为其众多延伸,是耗时的。在本研究中,我们提出了一种基于现实的偶极模型,它会产生更相似的NMF到实际模型。基于大鼠Ca1海马金字塔神经元的生物生物学性质模拟膜势。我们使用有效长度和有效位置和每个神经元的有效位置和有效电流参数来定义有效偶极子,以计算神经元周围的NMF。基于现实神经元和有效神经元的NMF之间的交叉相关的计算,提出了有效的偶极模型具有良好的相似性模式。

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