Figure number | Data structure | Type of test | Statistics |
---|---|---|---|

Figure 1E | Non-normal | Wilcoxon rank sum test | p = 0.0048 for CV differences between WT older and KO older_{w} |

Figure 1F | Non-normal | Wilcoxon rank sum test | p < 0.001 for CV differences between WT older and KO older_{b} |

Figure 1J | Non-normal | Two-way ANOVA | F_{(1,113)} = 5.78; p = 0.018 for WT vs KO differences |

Figure 1L | Non-normal | Wilcoxon rank sum test | p = 0.14 for jitter slope differences between WT older and KO older |

Figure 2E | Normal | Three-way ANOVA | p < 0.001 for CV differences between WT older and KO older_{w} |

Figure 2F | Normal | Three-way ANOVA | p < 0.001 for CV differences between WT older and KO older_{b} |

Figure 3D | Normal | Two-way ANOVA | F_{(1,100)} = 4.97; p = 0.028 for WT and KO differences; F_{(1,100)} = 8.05; p = 0.005 for interaction factor between age and genotype; p = 0.7, for WT older vs WT younger; p < 0.001 for KO older vs KO younger, t test with Bonferroni correction |

Figure 3E | Normal | Two-way ANOVA | F_{(1,99)} = 7.47, p = 0.007 for age factor; F_{(1,99)} = 9.46; p = 0.003 for interaction factor between age and genotype; p = 0.0002 for KO older vs KO younger; p = 0.9 for WT older vs WT younger; p = 0.0025 for WT older and KO older |

Figure 3F | Normal | Two-way ANOVA | F_{(1,92)} = 6.83, p = 0.011 for interaction factor between age and genotype, F_{(1,92)} = 2.2, p = 0.14 for age factor; p = 0.052 for WT older and KO older; p = 0.007 for KO older and KO younger; p = 0.4for WT older and WT younger |

Figure 3G | Normal | Two-way ANOVA | F_{(1,100)} = 4.71; p = 0.032 for spike number between WT and KO; p = 0.029 between WT old and KO old; p = 0.3 between WT young and KO young |

Figure 3J | Normal | Two-way ANOVA | F_{(1,94)} = 0.03; p = 0.86 for WT and KO differences |

Figure 3K | Normal | Two-way ANOVA | F_{(1,923)} = 0.92; p = 0.33; WT and KO differences at young age group |

Figure 3L | Normal | Two-way ANOVA | F_{(1,1070)} = 31.03 p < 0.001; WT and KO differences at old age group |

Figure 4B | Normal | Two-way ANOVA | F_{(1,72)} = 5.35; p = 0.023 for difference between WT and KO CA3 cells younger animals |

Figure 4D | Normal | Two-way ANOVA | F_{(1,88)} = 1.06; p = 0.31 for difference between WT and KO CA1 cells younger animals |

Figure 4F | Normal | Two-way ANOVA | F_{(1,75)} = 1.16; p = 0.28 for difference between WT and KO CA3 cells older animals |

Figure 4H | Normal | Two-way ANOVA | F_{(1,59)} = 7.42; p = 0.009 for difference between WT and KO CA1 cells for older animals |

Figure 5C | Normal | Two-way ANOVA | F_{(1,46)} = 4.8; p = 0.033 for mAHP WT and KO differences. p = 0.2 between WT younger and KO younger; p = 0.018 for WT older and KO older |

Figure 5D | Normal | Two-way ANOVA | F_{(1,54)} = 8.84; p = 0.004 for sAHP WT and KO differences; p = 0.07 between WT younger and KO younger; p = 0.008 for WT older and KO older |

Figure 5F | Non-normal | Wilcoxon rank sum test | p = 0.91 for I_{h} percentage of sag between WT and KO |

Figure 5H | Normal | Two-way ANOVA | F_{(1,258)} = 2.54; p = 0.11 between WT and KO for I_{M} current |

Figure 6C | Normal | Two-way ANOVA | F_{(1,240)} = 33.3; p < 0.001 for WT older and KO older SK currents |

Figure 6D | Normal | Two-way ANOVA | F_{(1,189)} = 0.51; p = 0.5 for WT younger and KO younger SK currents |

Figure 6E | Normal | Two-way ANOVA | F_{(1,229)} = 0.01; p = 0.9 for WT older and WT younger SK currents |

Figure 6F | Normal | Two-way ANOVA | F_{(1,209)} = 21.02; p < 0.001 for KO older and KO younger SK currents |

Figure 7B | Normal | Two-way ANOVA | F_{(1,24)} = 0.48; p = 0.5 for WT younger vs KO younger for CA3 |

Figure 7C | Normal | Two-way ANOVA | F_{(1,24)} = 0.21; p = 0.6 for WT younger vs KO younger for CA1 |

Figure 7D | Normal | Two-way ANOVA | F_{(1,24)} = 0.3; p = 0.6 for WT older vs KO older for CA3 |

Figure 7E | Normal | Two-way ANOVA | F_{(1,24)} = 0.25; p = 0.61 for WT older vs KO older for CA1 |

Figure 8E | Normal | Two-way ANOVA | F_{(1,48)} = 0; p = 0.96 for effect of apamin; F_{(1,49)} = 8.74; p = 0.005 for WT and KO differences |

Figure 8F | Normal | Two-way ANOVA | F_{(1,96)} = 157.5; p < 0.001 for WT and KO differences; F_{(1,96)} = 53.1; p < 0.001 for effect of apamin on CV_{b} |

Figure 8G | Normal | Two-way ANOVA | F_{(1,49)} = 9.63; p=0.003 for WT and KO differences; F_{(1,49)} = 2.87; p = 0.09 for effect of apamin; p = 0.006 for WT pre apamin and KO pre apamin; p = 0.05 for KO pre apamin and KO post apamin; p = 0.23 WT pre apamin and KO post apamin |

Figure 8H | Normal | Two-way ANOVA | F_{(1,41)} = 2.1; p = 0.15 for effect of apamin; F_{(1,41)} = 3.6; p = 0.06 for WT and KO differences |

Figure 8I | Normal | Two-way ANOVA | F_{(1,81)} = 2.7; p = 0.1 for differences between WT and KO; F_{(1,81)} = 40.5 p < 0.001 for effect of BAPTA |

It is to be noted that all of the data in figures is from CA1 cells except in Figure 4, where it is from both CA3 and CA1 cells