神经系统中的频差依赖随机共振
Frequency-difference-dependent stochastic resonance in neural systems
摘要：
生物神经元接收多个噪声振荡信号，并且它们对这些信号的叠加的动态响应对于大脑中的信息处理具有根本重要性。本文研究神经系统对弱包络调制信号的响应，该信号由两个不同频率的周期信号叠加而成。我们表明，随机共振发生在拍频在神经系统中的单神经元以及人口水平。这种频差依赖的随机共振的性能受到拍频和两个强迫频率的影响。与单个神经元相比，神经元群体在检测由拍频处的弱包络调制信号携带的信息方面更有效。此外，对兴奋-抑制平衡的适当微调可以进一步优化神经系综对叠加信号的响应。因此，我们的研究结果介绍，并提供洞察神经系统中的频率差依赖的随机共振的产生和调制机制。
英文摘要：
Biological neurons receive multiple noisy oscillatory signals, and their dynamical response to the superposition of these signals is of fundamental importance for information processing in the brain. Here we study the response of neural systems to the weak envelope modulation signal, which is superimposed by two periodic signals with different frequencies. We show that stochastic resonance occurs at the beat frequency in neural systems at the single-neuron as well as the population level. The performance of this frequency-difference-dependent stochastic resonance is influenced by both the beat frequency and the two forcing frequencies. Compared to a single neuron, a population of neurons is more efficient in detecting the information carried by the weak envelope modulation signal at the beat frequency. Furthermore, an appropriate fine-tuning of the excitation-inhibition balance can further optimize the response of a neural ensemble to the superimposed signal. Our results thus introduce and provide insights into the generation and modulation mechanism of the frequency-difference-dependent stochastic resonance in neural systems.
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