Map detection analysis of combined map data from all 8 bats.

Results of the analysis of combined data from all animals. Columns indicate the tuning property (e.g. characteristic frequency) and cell class (e.g. EI). Pearson distance correlation , -value (Bonferroni corrected, 7 tests) and number of neurons are given for each candidate map i.e. combination of tuning property and cell class. The Bonferroni method of correcting for multiple tests can lead to corrected -values greater than 1, as is the case for IID tuning in the peaked cluster.对所有动物的合并数据进行分析得到的结果。数据表格的列分别表示调谐特性（例如特征频率）与细胞类别（例如EI）。针对每一组候选映射（即调谐特性与细胞类别的组合），我们给出了皮尔逊距离相关系数、P值（经邦费罗尼校正，共进行7次检验）以及神经元数量。邦费罗尼多重检验校正方法可能会导致校正后的P值大于1，峰值聚类中的独立同分布（IID）调谐便属于此种情况。