Feng J, Zhang P
COGS, Sussex University, Brighton, BN1 9QH, United Kingdom.
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 May;63(5 Pt 1):051902. doi: 10.1103/PhysRevE.63.051902. Epub 2001 Apr 9.
We assess, both numerically and theoretically, how positively correlated Poisson inputs affect the output of the integrate-and-fire and Hodgkin-Huxley models. For the integrate-and-fire model the variability of efferent spike trains is an increasing function of input correlation, and of the ratio between inhibitory and excitatory inputs. Interestingly for the Hodgkin-Huxley model the variability of efferent spike trains is a decreasing function of input correlation, and for fixed input correlation it is almost independent of the ratio between inhibitory and excitatory inputs. In terms of the signal to noise ratio of efferent spike trains the integrate-and-fire model works better in an environment of asynchronous inputs, but the Hodgkin-Huxley model has an advantage for more synchronous (correlated) inputs. In conclusion the integrate-and-fire and Hodgkin-Huxley models respond to correlated inputs in totally opposite ways.
我们通过数值模拟和理论分析，评估正相关的泊松输入如何影响积分发放模型和霍奇金 - 赫胥黎模型的输出。对于积分发放模型，传出脉冲序列的变异性是输入相关性以及抑制性和兴奋性输入之间比率的增函数。有趣的是，对于霍奇金 - 赫胥黎模型，传出脉冲序列的变异性是输入相关性的减函数，并且对于固定的输入相关性，它几乎与抑制性和兴奋性输入之间的比率无关。就传出脉冲序列的信噪比而言，积分发放模型在异步输入环境中表现更好，但霍奇金 - 赫胥黎模型在输入更同步（相关）时具有优势。总之，积分发放模型和霍奇金 - 赫胥黎模型对相关输入的响应方式完全相反。
