A stochastic model of the electrically stimulated auditory nerve: Single-pulse response

A stochastic model of the electrically stimulated auditory nerve: Single-pulse response
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DOI:
10.1109/10.764938
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发表时间:
1999-06-01
影响因子:
4.6
通讯作者:
Clark, GM
Clark, GM
中科院分区:
工程技术2区
文献类型:
--
作者:
Bruce, IC;White, MW;Clark, GM

文献摘要

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大多数神经对电刺激的反应模型,如霍奇金-赫胥黎方程,是确定性的,尽管有重要的生理证据表明随机活动的存在。例如,响应单个电脉冲测量的放电概率范围根本不能用确定性模型来解释。此外,越来越多的证据表明,听神经对电刺激反应的随机成分可能是功能显著的生理和心理物理现象的基础。在本文中,我们基于动作电位产生的确定性阈值模型,提出了一个简单且计算效率高的单纤维对单双相电脉冲反应的随机模型。与猫听觉神经纤维的生理数据进行了比较,结果表明随机模型比等效的确定性模型更准确地预测单双相脉冲放电概率。此外,生理学数据显示,随着阳极/阴极双相脉冲脉冲宽度的增加,随机活动增加,这一现象在单相刺激中不存在。这些和来自听神经的其他数据随后被用于开发全听神经的种群模型,其中每个纤维都由单纤维模型描述。
Most models of neural response to electrical stimulation, such as the Hodgkin-Huxley equations, are deterministic, despite significant physiological evidence for the existence of stochastic activity, For instance, the range of discharge probabilities measured in response to single electrical pulses cannot be explained at all by deterministic models. Furthermore, there is growing evidence that the stochastic component of auditory nerve response to electrical stimulation may be fundamental to functionally significant physiological and psychophysical phenomena, In this paper we present a simple and computationally efficient stochastic model of single-fiber response to single biphasic electrical pulses, based on a deterministic threshold model of action potential generation. Comparisons with physiological data from cat auditory nerve fibers are made, and it is shown that the stochastic model predicts discharge probabilities measured in response to single biphasic pulses more accurately than does the equivalent deterministic model. In addition, physiological data show an increase in stochastic activity with increasing pulse width of anodic/cathodic biphasic pulses, a phenomenon not present for monophasic stimuli, These and other data from the auditory nerve are then used to develop a population model of the total auditory nerve, where each fiber is described by the single-fiber model.