Neuronal resonance is defined as maximal amplification of the response of a system to a periodic input at a finite non-zero input frequency band. Resonance has been observed experimentally in the nervous system at the level of membrane potentials, spike times, post-synaptic potentials, and neuronal networks. It is often assumed that resonance at one level of organization endows resonance at another level, but how the various forms of neuronal resonances interact is unknown. Here we show that a direct link of the frequency response properties across neuronal levels of organization is not necessary. Using detailed biophysical modeling combined with numerical simulations, extracellular recordings, and optogenetic manipulations from behaving mice, we show how low-pass filtering, high-pass filtering, and amplification mechanisms can generate resonance at a single level of organization. Subthreshold resonance, synaptic resonance, and spiking resonance can each occur in the lack of resonance at any other level of organization. In contrast, frequency-dependent mechanisms at several levels of organization are required to generate the more complex phenomenon of network resonance. Together, these results show that multiple independent mechanisms can generate resonance in neuronal systems.

中文翻译：

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神经元共振可以在不同的组织水平上独立产生

神经元共振被定义为系统对有限非零输入频带上的周期性输入的响应的最大放大。实验上已经在神经系统中在膜电位，尖峰时间，突触后电位和神经元网络水平观察到共振。通常假定组织的一个层次的共振赋予另一层次的共振，但是各种形式的神经元共振如何相互作用尚不清楚。在这里，我们表明跨神经元水平的组织频率响应特性的直接链接不是必需的。通过将详细的生物物理模型与数值模拟，细胞外记录以及行为小鼠的光遗传学操作相结合，我们展示了低通滤波，高通滤波，放大机制可以在单个组织级别上产生共振。亚阈值共振，突触共振和尖峰共振都可以在组织的任何其他级别缺少共振的情况下发生。相反，需要在组织的多个级别上依赖于频率的机制来生成更复杂的网络共振现象。总之，这些结果表明，多种独立的机制可以在神经元系统中产生共振。