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Stochastic Resonance and Stochastic Encoding: Cooperative Effects of Noise and Intrinsic Dynamics in a Model Neuron with Subthreshold Oscillations

机译:随机共振和随机编码:具有亚阈值振荡的模型神经元中噪声和内在动力学的协同效应

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摘要

It is well established that noise, despite its mostly detrimental effects, can play a constructive role for information transfer. The best known example is stochastic resonance (SR) phenomena. SR means that there is an optimal level of noise for the detection of weak signals. In this study, a Hodgkin-Huxley type model neuron with subthreshold oscillations has been used to demonstrate that the noise effects essentially depend on the neuron's activity state. These data shall emphasize more general aspects of stochastic encoding (SE) which, beyond tuning of noise, can be achieved with appropriate adjustment of physiological control parameters.
机译:公认的是,尽管噪声主要是有害的,但它可以对信息传递起到建设性作用。最著名的例子是随机共振(SR)现象。 SR意味着检测微弱信号时存在最佳噪声水平。在这项研究中,具有阈下振荡的Hodgkin-Huxley型模型神经元已被用来证明噪声效应基本上取决于神经元的活动状态。这些数据应强调随机编码(SE)的更多一般方面,除了调整噪声外,还可以通过适当调节生理控制参数来实现。

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