当前位置: X-MOL 学术Biol. Cybern. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Modeling of spike trains in auditory nerves with self-exciting point processes of the von Mises type.
Biological Cybernetics ( IF 1.9 ) Pub Date : 2019-04-19 , DOI: 10.1007/s00422-019-00799-5
Hiroyuki Mino 1
Affiliation  

This article presents the modeling of spike trains in auditory nerve fiber (ANF) models with a one-memory self-exciting point process (SEPP) of the von Mises type. The ANF models were acoustically stimulated by a synaptic current of inner hair cells, or electrically stimulated by sinusoidally amplitude-modulated pulsatile waveforms. It has been shown that the parameters of one-memory SEPP of the von Mises type could be estimated by numerically maximizing the likelihood function from sample realizations of the spike trains in response to acoustic or electric stimulus. Furthermore, it was found that period histograms of the one-memory SEPP generated artificially on the basis of the estimated von Mises parameters agreed well with those of acoustic or electric stimulus, by performing the uniform-scores test. It implies that the waveforms of pulsatile electric stimuli should be selected such that the spike trains can be represented by one-memory SEPP of the von Mises type with appropriate parameters, efficiently carrying information to the cochlear implant user's brain, like that in acoustic stimulation of the healthy ear. The findings presented in this paper may play an important role in determining optimal parameters of pulsatile electric stimuli by using one-memory SEPP of the von Mises type, and further in the design of better cochlear prostheses.

中文翻译:

使用von Mises类型的自激点过程对听觉神经中的突波序列进行建模。

本文介绍了采用冯·米塞斯(von Mises)类型的单记忆自激发点过程(SEPP)的听觉神经纤维(ANF)模型中的峰值序列建模。ANF模型是由内部毛细胞的突触电流以声学方式刺激的,或者是由正弦振幅调制的脉动波形以电方式刺激的。已经表明,可以通过根据响应于声或电刺激的尖峰列的样本实现对似然函数进行数值最大化来估计冯·米塞斯类型的单内存SEPP的参数。此外,还发现,通过执行均分测试,基于估计的冯·米塞斯(von Mises)参数人工生成的单内存SEPP的周期直方图与声学或电刺激的参数很好地吻合。这意味着应该选择搏动性电刺激的波形,以使尖峰序列可以由具有适当参数的von Mises类型的单记忆SEPP表示,从而像人工耳蜗的声刺激一样有效地将信息传递到人工耳蜗使用者的大脑健康的耳朵。本文提出的发现可能通过使用冯·米塞斯(von Mises)类型的单记忆SEPP在确定搏动性电刺激的最佳参数方面发挥重要作用,并在更好的人工耳蜗设计中发挥重要作用。
更新日期:2019-11-01
down
wechat
bug