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Neurons within the Same Network Independently Achieve Conserved Output by Differentially Balancing Variable Conductance Magnitudes

机译:同一网络中的神经元通过差分平衡可变电导幅度独立地实现保守输出

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摘要

Biological and theoretical evidence suggest that individual neurons may achieve similar outputs by differentially balancing variable underlying ionic conductances. Despite the substantial amount of data consistent with this idea, a direct biological demonstration that cells with conserved output, particularly within the same network, achieve these outputs via different solutions has been difficult to achieve. Here we demonstrate definitively that neurons from native neural networks with highly similar output achieve this conserved output by differentially tuning underlying conductance magnitudes. Multiple motor neurons of the crab (Cancer borealis) cardiac ganglion have highly conserved output within a preparation, despite showing a 2–4-fold range of conductance magnitudes. By blocking subsets of these currents, we demonstrate that the remaining conductances become unbalanced, causing disparate output as a result. Therefore, as strategies to understand neuronal excitability become increasingly sophisticated, it is important that such variability in excitability of neurons, even among those within the same individual, is taken into account.
机译:生物学和理论证据表明,通过差异地平衡潜在的离子电导率,单个神经元可以实现相似的输出。尽管有大量数据与该想法相符,但是很难直接生物学证明具有保守输出的细胞,特别是在同一网络内,通过不同的解决方案实现这些输出。在这里,我们明确地证明,来自本地神经网络的神经元具有非常相似的输出,可以通过差分调整底层电导幅度来实现此保守输出。尽管电导幅度范围为2到4倍,但蟹(癌)心脏神经节的多个运动神经元在制剂中的输出高度保守。通过阻断这些电流的子集,我们证明了剩余的电导变得不平衡,从而导致输出不同。因此,随着了解神经元兴奋性的策略变得越来越复杂,重要的是要考虑到神经元兴奋性的这种可变性,即使是同一个人中的神经元也是如此。

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