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Feedback optimizes neural coding and perception of natural stimuli

机译:反馈优化了神经编码和自然刺激的感知

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摘要

Growing evidence suggests that sensory neurons achieve optimal encoding by matching their tuning properties to the natural stimulus statistics. However, the underlying mechanisms remain unclear. Here we demonstrate that feedback pathways from higher brain areas mediate optimized encoding of naturalistic stimuli via temporal whitening in the weakly electric fish Apteronotus leptorhynchus. While one source of direct feedback uniformly enhances neural responses, a separate source of indirect feedback selectively attenuates responses to low frequencies, thus creating a high-pass neural tuning curve that opposes the decaying spectral power of natural stimuli. Additionally, we recorded from two populations of higher brain neurons responsible for the direct and indirect descending inputs. While one population displayed broadband tuning, the other displayed high-pass tuning and thus performed temporal whitening. Hence, our results demonstrate a novel function for descending input in optimizing neural responses to sensory input through temporal whitening that is likely to be conserved across systems and species.
机译:越来越多的证据表明,感觉神经元通过将其调节特性与自然刺激统计数据相匹配来实现最佳编码。但是,其潜在机制仍不清楚。在这里,我们证明了来自较高大脑区域的反馈途径通过弱电鱼Apteronotus leptorhynchus中的暂时性白化介导了自然刺激的优化编码。虽然一个直接反馈源统一地增强了神经反应,但一个单独的间接反馈源则选择性地衰减了对低频的响应,从而创建了一个高通神经调谐曲线,该曲线与自然刺激的衰减频谱功率相反。此外,我们从负责直接和间接降序输入的两个较高脑神经元群体中记录。一个人口显示宽带调谐,而另一人口显示高通调谐,因此进行了时间白化。因此,我们的结果证明了一种新颖的功能,可用于降低输入,从而通过时间增白来优化对感觉输入的神经反应,这在整个系统和物种中可能是保守的。

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