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The use of suprathreshold stochastic resonance in cochlear implant coding

机译:超阈值随机共振在人工耳蜗编码中的应用

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摘要

In this article we discuss the possible use of a novel form of stochastic resonance, termed suprathreshold stochastic resonance (SSR), to improve signal encoding/transmission in cochlear implants. A model, based on the leaky-integrate-and-fire (LIF) neuron, has been developed from physiological data and use to model information flow in a population of cochlear nerve fibres. It is demonstrated that information flow can, in principle, be enhanced by the SSR effect. Furthermore, SSR was found to enhance information transmission for signal parameters that are commonly encountered in cochlear implants. This, therefore, gives hope that SSR may be implemented in cochlear implants to improve speech comprehension.
机译:在本文中,我们讨论了一种新颖的随机共振形式,称为超阈值随机共振(SSR),可能用于改善人工耳蜗中的信号编码/传输。已经从生理学数据开发了一种基于泄漏-整合-发射(LIF)神经元的模型,并将其用于建模人工耳蜗神经纤维群中的信息流。事实证明,原则上,SSR效应可以增强信息流。此外,发现SSR增强了耳蜗植入物中常见的信号参数的信息传输。因此,这给希望在耳蜗植入物中实现SSR以改善语音理解能力带来了希望。

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