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A biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons

机译:泄漏集成并发射神经元网络的场势的生物物理观测模型。

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摘要

We present a biophysical approach for the coupling of neural network activity as resulting from proper dipole currents of cortical pyramidal neurons to the electric field in extracellular fluid. Starting from a reduced three-compartment model of a single pyramidal neuron, we derive an observation model for dendritic dipole currents in extracellular space and thereby for the dendritic field potential (DFP) that contributes to the local field potential (LFP) of a neural population. This work aligns and satisfies the widespread dipole assumption that is motivated by the “open-field” configuration of the DFP around cortical pyramidal cells. Our reduced three-compartment scheme allows to derive networks of leaky integrate-and-fire (LIF) models, which facilitates comparison with existing neural network and observation models. In particular, by means of numerical simulations we compare our approach with an ad hoc model by Mazzoni et al. (), and conclude that our biophysically motivated approach yields substantial improvement.
机译:我们提出了一种生物物理方法来耦合神经网络活动,这是由于皮质锥体神经元的适当偶极电流对细胞外液中的电场产生的。从单个锥体神经元的简化三室模型开始,我们导出了细胞外空间中树突状偶极子电流的观察模型,从而得出了有助于神经群的局部场势(LFP)的树突场势(DFP)的观察模型。 。这项工作符合并满足了广泛的偶极子假设,该假设是由DFP围绕皮质锥体细胞的“开放视野”配置所激发的。我们的简化三室方案允许导出泄漏的集成点火(LIF)模型网络,这有助于与现有的神经网络和观测模型进行比较。特别是,通过数值模拟,我们将我们的方法与Mazzoni等人的临时模型进行了比较。 (),并得出结论,我们以生物物理为动力的方法取得了实质性的进步。

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