Neural Spike Communication under Noisy Environments
Neural Spike Communication under Noisy Environments
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DOI：
10.1109/cibcb.2005.1594913
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
N. Homma;K. Fuchigami;M. Gupta
中科院分区：
文献类型：
--
作者：
N. Homma;K. Fuchigami;M. Gupta
本文分析了双反馈神经单元（DFNU）及其网络的神经脉冲动力学。DFNU的一个重要重点不仅在于其简单的公式，可以提供定量分析结果，而且还在于动力学的生理合理性，可与霍奇金-赫胥黎模型相媲美。结果表明，由于对噪声输入的敏感性，特别是低频发射，神经信息对发射频率的比例编码可能并不总是合理的。另一方面，由于高频激发对噪声输入的可靠性和鲁棒性，它相对适合于神经信息载体。仿真研究还表明，使用噪声输入可以增强动态神经网络的性能。
In this paper, we analyze neural spike dynamics of a double feedback neural unit (DFNU) and its networks. An essential emphasis of the DFNU is not only on its simple formulations that can provide quantitative analytic results, but also on physiological plausibility of the dynamics that is comparable to that of Hodgkin-Huxley’s model. The results suggest that a proportional coding of neural information on firing frequency may not be always reasonable due to sensitivity to noisy inputs especially for low-frequency firings. On the other hand, high-frequency firings are relatively appropriate for a neural informational carrier due to the reliability and robustness to noisy inputs. It is also demonstrated by simulation studies that use of noisy inputs can enhance the dynamic neural performances.