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The Vestibular System Implements a Linear–Nonlinear Transformation In Order to Encode Self-Motion

机译:前庭系统执行线性-非线性变换以编码自运动

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摘要

Although it is well established that the neural code representing the world changes at each stage of a sensory pathway, the transformations that mediate these changes are not well understood. Here we show that self-motion (i.e. vestibular) sensory information encoded by VIIIth nerve afferents is integrated nonlinearly by post-synaptic central vestibular neurons. This response nonlinearity was characterized by a strong (∼50%) attenuation in neuronal sensitivity to low frequency stimuli when presented concurrently with high frequency stimuli. Using computational methods, we further demonstrate that a static boosting nonlinearity in the input-output relationship of central vestibular neurons accounts for this unexpected result. Specifically, when low and high frequency stimuli are presented concurrently, this boosting nonlinearity causes an intensity-dependent bias in the output firing rate, thereby attenuating neuronal sensitivities. We suggest that nonlinear integration of afferent input extends the coding range of central vestibular neurons and enables them to better extract the high frequency features of self-motion when embedded with low frequency motion during natural movements. These findings challenge the traditional notion that the vestibular system uses a linear rate code to transmit information and have important consequences for understanding how the representation of sensory information changes across sensory pathways.
机译:尽管已经很好地确定了代表世界的神经代码在感觉途径的每个阶段都会发生变化,但是对这些变化进行介导的转化还没有很好的理解。在这里,我们显示由第VIII个神经传入神经编码的自我运动(即前庭)感觉信息被突触后中央前庭神经元非线性整合。当与高频刺激同时出现时,这种响应非线性的特征是神经元对低频刺激的敏感性大大减弱(约50%)。使用计算方法,我们进一步证明了中央前庭神经元的输入-输出关系中的静态增强非线性导致了这种意外结果。具体而言,当同时出现低频和高频刺激时,这种增强的非线性会导致输出激发速率的强度相关偏差,从而削弱神经元敏感性。我们建议传入输入的非线性积分扩展了中央前庭神经元的编码范围,并使它们在自然运动过程中嵌入低频运动时能够更好地提取自运动的高频特征。这些发现挑战了传统的观念,即前庭系统使用线性码率来传输信息,并且对于理解感觉信息的表达如何跨感觉途径产生重要的影响。

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