Fig. 1*A*,*B* | | | WIN: 10 neurons, 4 mice, DMSO: 21 neurons, 7 mice |

mGPSC frequency: DMSO × WIN | ANOVA | *F*_{(1,28)} = 14.704, *p* = 0.001 | |

mGPSC amplitude: DMSO × WIN | ANOVA | *F*_{(1,29)} = 0.598, *p* = 0.445 | |

Fig. 1*D* | | | AM251: 5 neurons, 3 mice |

mGPSC frequency: DMSO × AM251 | ANOVA | *F*_{(1,30)} = 1.153, *p* = 0.292 | |

mGPSC amplitude: DMSO × AM251 | ANOVA | *F*_{(1,30)} = 2.975, *p* = 0.095 | |

mGPSC frequency: AM251 × AM251 + WIN | Repeated measures ANOVA | *F*_{(2,8)} = 1.719, *p* = 0.239 | |

Fig. 1*F* | | | FC: 8 neurons, 3 mice |

mGPSC frequency: DMSO × FC | ANOVA | *F*_{(1,28)} = 3.52, *p* = 0.071 | |

Fig. 3*A*,*B*,*E*,*F* | | | WIN: 4 mice, 6 slices, 38 soma (s), 194 non-soma (ns) |

Increase magnitude: treatment (WIN/DMSO) × ROI (s/ns) | Kruskal–Wallis | H(3) = 169.052, *p* < 0.001 | DMSO: 3 mice, 4 slices, 70 s, 86 ns |

Increase magnitude DMSO: s × ns | Median *post hoc* | *p* = 1 | |

Increase magnitude WIN: s × ns | Median *post hoc* | *p* = 1 | |

Increase magnitude (both s and ns): DMSO × WIN | Median *post hoc* | *p* < 0.001 | |

Decrease magnitude: treatment (WIN/DMSO) × ROI (s/ns) | Kruskal–Wallis | H(3) = 60.729, *p* < 0.001 | |

Decrease magnitude DMSO: s × ns | Median *post hoc* | *p* = 1 | |

Decrease magnitude WIN: s × ns | Median *post hoc* | *p* = 1 | |

Increase magnitude (both s and ns): DMSO × WIN | Median *post hoc* | *p* < 0.01 | |

Fig. 3*C*,*G* | | | TTX + CNQX + WIN: 4 mice, 5 slices, 19 s, 93 ns |

Increase magnitude: treatment (WIIN/ TTX + CNQX + WIN) × ROI (s/ns) | Kruskal–Wallis | H(3) = 13.35, *p* = 0.004 | |

Increase magnitude ns: WIN × TTX + CNQX + WIN | Median *post hoc* | *p* = 0.017 | |

Decrease magnitude: treatment (WIIN/ TTX + CNQX + WIN) × ROI (s/ns) | Kruskal–Wallis | H(3) = 2.213, *p* = 0.529 | |