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Population Coding and Correlated Variability in Electrosensory Pathways

机译:电感应通路中的种群编码和相关的变异性

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摘要

The fact that perception and behavior depend on the simultaneous and coordinated activity of neural populations is well established. Understanding encoding through neuronal population activity is however complicated by the statistical dependencies between the activities of neurons, which can be present in terms of both their mean (signal correlations) and their response variability (noise correlations). Here, we review the state of knowledge regarding population coding and the influence of correlated variability in the electrosensory pathways of the weakly electric fish Apteronotus leptorhynchus. We summarize known population coding strategies at the peripheral level, which are largely unaffected by noise correlations. We then move on to the hindbrain, where existing data from the electrosensory lateral line lobe (ELL) shows the presence of noise correlations. We summarize the current knowledge regarding the mechanistic origins of noise correlations and known mechanisms of stimulus dependent correlation shaping in ELL. We finish by considering future directions for understanding population coding in the electrosensory pathways of weakly electric fish, highlighting the benefits of this model system for understanding the origins and impact of noise correlations on population coding.
机译:知觉和行为取决于神经群体的同时和协调活动这一事实已得到充分证实。然而,由于神经元活动之间的统计依赖性,使得通过神经元种群活动进行编码的理解变得复杂,这可以根据其均值(信号相关性)和它们的响应变异性(噪声相关性)来表示。在这里,我们审查有关种群编码的知识状态,以及弱电鱼Apteronotus leptorhynchus的电传感途径中相关变异性的影响。我们总结了外围级别的已知人口编码策略,这些策略在很大程度上不受噪声相关性的影响。然后,我们移至后脑,那里的电感应侧线波瓣(ELL)的现有数据显示了噪声相关性的存在。我们总结了有关噪声相关的机制起源的当前知识,以及ELL中依赖于刺激的相关塑造的已知机制。最后,我们考虑了未来的方向,以了解弱电鱼的电感应途径中的种群编码,着重强调了此模型系统对了解噪声相关性的起源和对种群编码的影响的好处。

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