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Synaptic amplification by axo-shaft synapses in a pyramidal neuron model

机译:锥体神经元模型中轴突触对突触的放大作用

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Both the type and location of synaptic contacts can have profound functional consequences for cortical pyramidal neurons. Axo-spinous synapses integrate evoked potentials in a linear fashion and axo-shaft ones summate responses sublinearly. Using modeling and simulation, we accurately replicate such type-dependent synaptic integration and examine one of the possible underlying mechanisms. Moreover, the integrative properties of distal spines in pyramidal neurons have a distinct impact on the neuronal output. Our results demonstrate that distal axo-shaft synapses can gate nonlinear dendritic computing with higher threshold and drive somatic potential with higher gain. The implications these results have for the computational capacity of pyramidal neurons are discussed.
机译:突触接触的类型和位置都可能对皮质锥体神经元产生深远的功能影响。轴突棘突触以线性方式整合诱发电位,而轴突突则亚线性地叠加反应。使用建模和仿真,我们可以准确地复制这种类型依赖的突触整合,并研究可能的潜在机制之一。而且,锥体神经元中远端棘的整合特性对神经元输出有明显的影响。我们的结果表明,远端轴突触可以以更高的阈值控制非线性树突计算,并以更高的增益驱动体细胞电势。讨论了这些结果对锥体神经元的计算能力的影响。

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