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Multiple resonances with time delays and enhancement by non-Gaussian noise in Newman-Watts networks of Hodgkin-Huxley neurons

机译:Hodgkin-Huxley神经元的Newman-Watts网络中具有时滞的多重共振和非高斯噪声的增强

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摘要

In this paper, we study the effect of time delay on the spiking activity in Newman-Watts small-world networks of Hodgkin-Huxley neurons with non-Caussian noise, and investigate how the non-Gaussian noise affects the delay-induced behaviors. It was found that, as the delay increases, the neuron spiking intermittently performs the most ordered and synchronized behavior when the delay lengths are integer multiples of the spiking periods, which shows multiple temporal resonances and spatial synchronizations, and reveals that the locking between the delay lengths and the spiking periods might be the mechanism behind the behaviors. It was also found that the delay-optimized spiking behaviors could be enhanced when non-Gaussian noise's deviation from the Gaussian noise is appropriate. These results show that time delay and non-Gaussian noise would cooperate to play more constructive and efficient roles in the information processing of neural networks.
机译:在本文中,我们研究了时间延​​迟对具有非高斯噪声的霍奇金-赫克斯利神经元Newman-Watts小世界网络中尖峰活动的影响,并研究了非高斯噪声如何影响延迟诱发的行为。研究发现,随着延迟的增加,当延迟长度为加长周期的整数倍时,神经元的加断间歇地执行最有序和同步的行为,这表明了多个时间共振和空间同步,并揭示了延迟之间的锁定长度和峰值周期可能是行为背后的机制。还发现,当非高斯噪声与高斯噪声的偏差适当时,可以优化延迟优化的尖峰行为。这些结果表明,时间延迟和非高斯噪声将协同作用,在神经网络的信息处理中发挥更多建设性和有效的作用。

著录项

  • 来源
    《Neurocomputing》 |2011年第10期|p.1748-1753|共6页
  • 作者单位

    School of Physics, Ludong University, Yantai, Shandong 264025, PR China;

    School of Physics, Ludong University, Yantai, Shandong 264025, PR China;

    School of Physics, Ludong University, Yantai, Shandong 264025, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    neuron; time delay; non-caussian noise; newman-watts network; multiple resonances;

    机译:神经元;时间延迟;非高斯噪声;纽曼瓦特网络;多重共振;
  • 入库时间 2022-08-18 02:08:17

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