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首页> 外文期刊>Journal of Computational Neuroscience >Robustness of the significance of spike synchrony with respect to sorting errors
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Robustness of the significance of spike synchrony with respect to sorting errors

机译：尖峰同步对于分类错误意义的鲁棒性

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The aim of spike sorting is to reconstruct single unit spike times from extracellular multi-unit recordings. Failure in the identification of a spike (false negative) or assignment of a spike to a wrong unit (false positive) are typical examples of sorting errors. Their influence on cross-correlation measures has been addressed and it has been shown that correlation analysis of multi-unit signals may lead to incorrect interpretations. We formulate a model to study the influence of sorting errors on the significance of synchronized spikes, and thus are able to study if and how the significance changes in case of imperfect sorting. Here we explore the case of pairwise analysis of simultaneously recorded neurons. Interestingly, a decrease in the significance is observed in the presence of false positives, as well as for false negatives. Furthermore, false negative errors reduce the significance of synchronized spikes more strongly than false positives. Thus, conservative sorting strategies have a stronger tendency to lead to a loss of the significance of synchronization. We demonstrate that a detailed understanding of sorting techniques and their possible effects on subsequent data analyses is important in order to rule out inconsistencies in the interpretation of results.
机译：尖峰分类的目的是从细胞外多单位录音中重建单个单位的尖峰时间。未能识别峰值（错误否定）或将峰值分配给错误的单位（错误肯定）是分选错误的典型示例。已经解决了它们对互相关度量的影响，并且已经表明，多单元信号的相关分析可能会导致错误的解释。我们建立了一个模型来研究排序错误对同步峰值的重要性的影响，从而能够研究在不完全排序的情况下重要性是否发生变化以及如何发生变化。在这里，我们探讨了同时记录的神经元的成对分析的情况。有趣的是，在存在假阳性以及假阴性的情况下，观察到显着性降低。此外，假阴性错误比假阳性更强烈地降低了同步峰值的重要性。因此，保守的分类策略更倾向于导致失去同步的重要性。我们证明，对分类技术及其对后续数据分析的可能影响的详细理解非常重要，这样可以排除结果解释中的不一致之处。

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