清醒小鼠树突整合的来龙去脉

Christopher J. Roome, B. Kuhn
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引用次数: 0

摘要

神经元通常被视为离散的输入输出计算机;解码突触输入到树突,通过“树突整合”从它们的躯体中产生正确的输出。然而,基本特性,如突触输入的时空模式,以及在清醒的动物中产生输出所需的输入数量,仍然是未知的。我们结合了来自棘树突的同时电压和钙成像,以及来自小脑浦肯野神经元的体电记录来研究清醒小鼠的树突整合。在这里,我们展示了树突信号的时空模式及其与躯体输出的非线性关系,并提供了产生躯体输出所需的突触输入数量的估计。亚毫秒双光子成像检测到快速和局部的亚阈值和超阈值树突信号,揭示了高频树突电输入如何同时调节体细胞输出,并允许毫秒精度的孤立树突计算。这些发现探索了树突信号的复杂性,并支持树突过程作为基本计算单元的假设。
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Ins and outs of dendritic integration in awake mice
Neurons are frequently viewed as discrete input-output computers; decoding synaptic inputs to their dendrites to generate correct outputs from their soma, through ‘dendritic integration’. Yet fundamental properties, such as spatio-temporal patterns of synaptic inputs, and the number of inputs required to generate an output in awake animals, remain unknown. We combined simultaneous voltage and calcium imaging from spiny dendrites, with somatic electrical recording from cerebellar Purkinje neurons to investigate dendritic integration in awake mice. Here we show spatio-temporal patterns of dendritic signaling and their non-linear relationship with somatic output and provide an estimate for the number of synaptic inputs required to generate a somatic output. Sub-millisecond two-photon imaging detected rapid and localized sub- and supra-threshold dendritic signaling and revealed how high frequency electrical dendritic inputs concurrently regulate somatic output and permit isolated dendritic computations with millisecond precision. These findings explore the complexity of dendritic signaling and support the hypothesis that dendritic processes behave as fundamental computational units.
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