glm for accuracy per mouse per odor pair for theta/Beta hippocampus mdl = Generalized linear regression model: accuracy ~ [Linear formula with 8 terms in 3 predictors] Distribution = Normal Estimated Coefficients: Estimate SE tStat pValue ________ _______ ________ ___________ (Intercept) 53.524 0.72965 73.355 2.5818e-223 peak_vs_trough_1 0.58152 1.0319 0.56355 0.5734 naive_vs_proficient_1 31.002 1.0265 30.202 4.0633e-102 shuffled_1 -4.8269 1.0319 -4.6777 4.0667e-06 peak_vs_trough_1:naive_vs_proficient_1 -0.2629 1.4517 -0.1811 0.85639 peak_vs_trough_1:shuffled_1 -0.56931 1.4593 -0.39012 0.69667 naive_vs_proficient_1:shuffled_1 -29.621 1.4517 -20.404 1.2199e-62 peak_vs_trough_1:naive_vs_proficient_1:shuffled_1 0.15494 2.053 0.07547 0.93988 380 observations, 372 error degrees of freedom Estimated Dispersion: 25 F-statistic vs. constant model: 477, p-value = 1.93e-181 Ranksum or t-test p values for accuracy per mouse per electrode for thetaBeta hippocampus pFDR = 4.285714e-02 p value t-test for Hippo peak shuffled proficient vs Hippo peak proficient = 4.099911e-33 p value t-test for Hippo trough shuffled vs Hippo trough proficient = 1.368498e-32 p value t-test for Hippo peak shuffled proficient vs Hippo trough proficient = 3.247200e-32 p value ranksum for Hippo peak proficient vs Hippo trough shuffled = 3.234613e-17 p value ranksum for Hippo peak shuffled naive vs Hippo peak proficient = 4.750786e-17 p value ranksum for Hippo peak shuffled naive vs Hippo trough proficient = 4.750786e-17 p value ranksum for Hippo peak proficient vs Hippo trough shuffled = 4.750786e-17 p value ranksum for Hippo trough shuffled vs Hippo trough proficient = 4.750786e-17 p value ranksum for Hippo peak proficient vs Hippo trough naive = 6.940264e-17 p value ranksum for Hippo peak naive vs Hippo peak proficient = 7.391421e-17 p value ranksum for Hippo trough naive vs Hippo trough proficient = 8.925682e-17 p value ranksum for Hippo peak naive vs Hippo trough proficient = 1.011886e-16 p value ranksum for Hippo peak naive vs Hippo trough shuffled = 1.291529e-09 p value ranksum for Hippo peak shuffled naive vs Hippo peak naive = 1.386126e-09 p value ranksum for Hippo trough shuffled vs Hippo trough shuffled = 1.135443e-07 p value t-test for Hippo peak shuffled proficient vs Hippo trough shuffled = 4.120624e-07 p value ranksum for Hippo peak shuffled naive vs Hippo trough shuffled = 6.007940e-07 p value ranksum for Hippo trough shuffled vs Hippo trough naive = 1.862527e-06 p value ranksum for Hippo peak shuffled naive vs Hippo trough naive = 1.933690e-06 p value ranksum for Hippo peak shuffled naive vs Hippo peak shuffled proficient = 2.240400e-06 p value ranksum for Hippo peak naive vs Hippo peak shuffled proficient = 3.860035e-06 p value ranksum for Hippo peak naive vs Hippo trough shuffled = 8.534672e-06 p value t-test for Hippo peak shuffled proficient vs Hippo trough naive = 1.100090e-04 p value ranksum for Hippo trough naive vs Hippo trough shuffled = 8.505207e-03 p values below are > pFDR p value ranksum for Hippo peak naive vs Hippo trough naive = 4.985376e-01 p value t-test for Hippo peak shuffled proficient vs Hippo trough shuffled = 6.131520e-01 p value ranksum for Hippo peak proficient vs Hippo trough proficient = 7.778563e-01 p value ranksum for Hippo peak shuffled naive vs Hippo trough shuffled = 9.788851e-01 Nested ANOVAN for accuracy during odor per mouse per odor pair for Beta for hippocampus Source Sum Sq. d.f. Singular? Mean Sq. F Prob>F peak_vs_trough 3.99611 1.00000 0.00000 3.99611 0.23420 0.62874 naive_vs_proficient 24757.53027 1.00000 0.00000 24757.53027 1450.97284 0.00000 shuffled 37304.83484 1.00000 0.00000 37304.83484 2186.33690 0.00000 mouse_no(peak_vs_trough,naive_vs_proficient,shuffled) 3643.73989 41.00000 0.00000 88.87170 5.20853 0.00000 peak_vs_trough*naive_vs_proficient 0.83480 1.00000 0.00000 0.83480 0.04893 0.82508 peak_vs_trough*shuffled 5.84988 1.00000 0.00000 5.84988 0.34285 0.55859 naive_vs_proficient*shuffled 20851.17309 1.00000 0.00000 20851.17309 1222.03166 0.00000 Error 5664.82008 332.00000 0.00000 17.06271 Total 92812.17629 379.00000 0.00000 glm for accuracy per mouse per odor pair for theta/Beta prefrontal mdl = Generalized linear regression model: accuracy ~ [Linear formula with 8 terms in 3 predictors] Distribution = Normal Estimated Coefficients: Estimate SE tStat pValue ________ _______ ________ ___________ (Intercept) 53.152 0.72048 73.773 3.5732e-224 peak_vs_trough_1 0.37161 1.0189 0.36472 0.71553 naive_vs_proficient_1 31.256 1.0136 30.837 1.5921e-104 shuffled_1 -5.1241 1.0189 -5.029 7.6839e-07 peak_vs_trough_1:naive_vs_proficient_1 0.037899 1.4334 0.026439 0.97892 peak_vs_trough_1:shuffled_1 0.32928 1.441 0.22852 0.81937 naive_vs_proficient_1:shuffled_1 -29.13 1.4334 -20.322 2.6952e-62 peak_vs_trough_1:naive_vs_proficient_1:shuffled_1 -1.103 2.0272 -0.5441 0.5867 380 observations, 372 error degrees of freedom Estimated Dispersion: 24.4 F-statistic vs. constant model: 494, p-value = 4.34e-184 Ranksum or t-test p values for accuracy per mouse per odor pair for thetaBeta prefrontal pFDR = 4.642857e-02 p value t-test for Pref peak shuffled naive vs Pref peak proficient = 1.937153e-52 p value t-test for Pref peak shuffled naive vs Pref trough proficient = 4.280612e-52 p value t-test for Pref peak naive vs Pref peak proficient = 1.221945e-38 p value t-test for Pref peak naive vs Pref trough proficient = 3.083756e-38 p value t-test for Pref trough shuffled proficient vs Pref trough proficient = 5.102531e-34 p value t-test for Pref peak shuffled proficient vs Pref peak proficient = 1.043959e-33 p value t-test for Pref peak shuffled proficient vs Pref trough proficient = 1.729684e-33 p value ranksum for Pref peak proficient vs Pref trough shuffled proficient = 3.225126e-17 p value ranksum for Pref peak proficient vs Pref trough shuffled naive = 4.736560e-17 p value ranksum for Pref trough shuffled naive vs Pref trough proficient = 4.736560e-17 p value ranksum for Pref peak proficient vs Pref trough naive = 6.099685e-17 p value ranksum for Pref trough naive vs Pref trough proficient = 6.919698e-17 p value ranksum for Pref trough shuffled naive vs Pref trough shuffled proficient = 2.656896e-09 p value t-test for Pref peak shuffled naive vs Pref trough shuffled proficient = 6.777904e-09 p value t-test for Pref peak naive vs Pref trough shuffled naive = 2.719856e-08 p value ranksum for Pref trough shuffled naive vs Pref trough naive = 1.250215e-07 p value t-test for Pref peak shuffled proficient vs Pref trough shuffled naive = 3.664180e-07 p value t-test for Pref peak shuffled naive vs Pref peak naive = 3.567350e-06 p value t-test for Pref peak shuffled naive vs Pref peak shuffled proficient = 5.664902e-06 p value t-test for Pref peak shuffled naive vs Pref trough naive = 6.028704e-06 p value t-test for Pref peak naive vs Pref peak shuffled proficient = 8.846484e-05 p value t-test for Pref peak shuffled proficient vs Pref trough naive = 1.856927e-04 p value t-test for Pref peak naive vs Pref trough shuffled proficient = 3.689062e-04 p value ranksum for Pref trough naive vs Pref trough shuffled proficient = 1.981688e-03 p value t-test for Pref peak shuffled naive vs Pref trough shuffled naive = 2.376531e-02 p value t-test for Pref peak shuffled proficient vs Pref trough shuffled proficient = 2.514261e-02 p values below are > pFDR p value t-test for Pref peak naive vs Pref trough naive = 3.848192e-01 p value ranksum for Pref peak proficient vs Pref trough proficient = 7.666336e-01 Nested ANOVAN for accuracy during odor per mouse per odor pair for Beta for prefrontal Source Sum Sq. d.f. Singular? Mean Sq. F Prob>F peak_vs_trough 7.96626 1.00000 0.00000 7.96626 0.49139 0.48380 naive_vs_proficient 25836.26235 1.00000 0.00000 25836.26235 1593.67032 0.00000 shuffled 37013.35957 1.00000 0.00000 37013.35957 2283.11247 0.00000 mouse_no(peak_vs_trough,naive_vs_proficient,shuffled) 3700.58823 41.00000 0.00000 90.25825 5.56744 0.00000 peak_vs_trough*naive_vs_proficient 6.76884 1.00000 0.00000 6.76884 0.41753 0.51862 peak_vs_trough*shuffled 1.16667 1.00000 0.00000 1.16667 0.07196 0.78866 naive_vs_proficient*shuffled 21031.96351 1.00000 0.00000 21031.96351 1297.32450 0.00000 Error 5382.31714 332.00000 0.00000 16.21180 Total 93510.24501 379.00000 0.00000 glm for accuracy per mouse per odor pair for theta/gamma hippocampus mdl = Generalized linear regression model: accuracy ~ [Linear formula with 8 terms in 3 predictors] Distribution = Normal Estimated Coefficients: Estimate SE tStat pValue ________ ______ _______ ___________ (Intercept) 51.8 0.7488 69.177 1.7441e-214 peak_vs_trough_1 2.2754 1.059 2.1487 0.032305 naive_vs_proficient_1 23.784 1.0534 22.577 1.0551e-71 shuffled_1 -2.8938 1.059 -2.7326 0.006583 peak_vs_trough_1:naive_vs_proficient_1 6.9381 1.4898 4.6571 4.4703e-06 peak_vs_trough_1:shuffled_1 -2.2944 1.4976 -1.5321 0.12636 naive_vs_proficient_1:shuffled_1 -22.639 1.4898 -15.196 6.5421e-41 peak_vs_trough_1:naive_vs_proficient_1:shuffled_1 -6.7514 2.1069 -3.2045 0.00147 380 observations, 372 error degrees of freedom Estimated Dispersion: 26.4 F-statistic vs. constant model: 355, p-value = 1.79e-160 Ranksum or t-test p values for accuracy per mouse per electrode for thetagamma hippocampus pFDR = 4.464286e-02 p value t-test for Hippo peak shuffled proficient vs Hippo peak proficient = 2.547713e-30 p value t-test for Hippo trough shuffled vs Hippo trough proficient = 4.735265e-26 p value t-test for Hippo peak shuffled proficient vs Hippo trough proficient = 4.502227e-25 p value ranksum for Hippo peak proficient vs Hippo trough shuffled = 3.234613e-17 p value ranksum for Hippo peak proficient vs Hippo trough shuffled = 4.749599e-17 p value ranksum for Hippo trough shuffled vs Hippo trough proficient = 4.749599e-17 p value ranksum for Hippo peak shuffled naive vs Hippo peak proficient = 4.750786e-17 p value ranksum for Hippo peak shuffled naive vs Hippo trough proficient = 4.750786e-17 p value ranksum for Hippo peak proficient vs Hippo trough naive = 7.391421e-17 p value ranksum for Hippo peak naive vs Hippo peak proficient = 2.009698e-16 p value ranksum for Hippo trough naive vs Hippo trough proficient = 2.420498e-16 p value ranksum for Hippo peak naive vs Hippo trough proficient = 1.924945e-15 p value ranksum for Hippo peak naive vs Hippo trough shuffled = 3.063782e-07 p value ranksum for Hippo peak shuffled naive vs Hippo peak naive = 5.557905e-07 p value ranksum for Hippo peak proficient vs Hippo trough proficient = 5.592351e-07 p value t-test for Hippo peak shuffled proficient vs Hippo trough shuffled = 1.491665e-06 p value ranksum for Hippo trough shuffled vs Hippo trough shuffled = 1.829428e-06 p value ranksum for Hippo trough shuffled vs Hippo trough naive = 1.970244e-06 p value ranksum for Hippo peak shuffled naive vs Hippo trough naive = 8.430103e-06 p value ranksum for Hippo peak shuffled naive vs Hippo trough shuffled = 1.171166e-04 p value ranksum for Hippo peak shuffled naive vs Hippo peak shuffled proficient = 1.404226e-04 p value ranksum for Hippo peak naive vs Hippo trough shuffled = 1.680479e-04 p value ranksum for Hippo peak naive vs Hippo peak shuffled proficient = 5.157141e-04 p value ranksum for Hippo trough naive vs Hippo trough shuffled = 7.287061e-03 p value t-test for Hippo peak shuffled proficient vs Hippo trough naive = 1.983365e-02 p values below are > pFDR p value ranksum for Hippo peak naive vs Hippo trough naive = 5.869444e-02 p value t-test for Hippo peak shuffled proficient vs Hippo trough shuffled = 4.505612e-01 p value ranksum for Hippo peak shuffled naive vs Hippo trough shuffled = 7.912656e-01 Nested ANOVAN for accuracy during odor per mouse per odor pair for gamma for hippocampus Source Sum Sq. d.f. Singular? Mean Sq. F Prob>F peak_vs_trough 795.97611 1.00000 0.00000 795.97611 43.22222 0.00000 naive_vs_proficient 19368.45596 1.00000 0.00000 19368.45596 1051.72459 0.00000 shuffled 27447.95980 1.00000 0.00000 27447.95980 1490.44893 0.00000 mouse_no(peak_vs_trough,naive_vs_proficient,shuffled) 3959.93181 41.00000 0.00000 96.58370 5.24458 0.00000 peak_vs_trough*naive_vs_proficient 305.33039 1.00000 0.00000 305.33039 16.57972 0.00006 peak_vs_trough*shuffled 766.07136 1.00000 0.00000 766.07136 41.59836 0.00000 naive_vs_proficient*shuffled 16147.07382 1.00000 0.00000 16147.07382 876.80064 0.00000 Error 6114.07911 332.00000 0.00000 18.41590 Total 75366.99925 379.00000 0.00000 glm for accuracy per mouse per odor pair for theta/gamma prefrontal mdl = Generalized linear regression model: accuracy ~ [Linear formula with 8 terms in 3 predictors] Distribution = Normal Estimated Coefficients: Estimate SE tStat pValue ________ _______ _______ ___________ (Intercept) 51.446 0.70761 72.704 5.7373e-222 peak_vs_trough_1 2.1397 1.0007 2.1382 0.033151 naive_vs_proficient_1 25.678 0.99549 25.794 7.4286e-85 shuffled_1 -2.625 1.0007 -2.6231 0.0090718 peak_vs_trough_1:naive_vs_proficient_1 6.7023 1.4078 4.7607 2.768e-06 peak_vs_trough_1:shuffled_1 -1.5899 1.4152 -1.1234 0.262 naive_vs_proficient_1:shuffled_1 -24.492 1.4078 -17.397 5.013e-50 peak_vs_trough_1:naive_vs_proficient_1:shuffled_1 -7.3999 1.991 -3.7167 0.00023286 380 observations, 372 error degrees of freedom Estimated Dispersion: 23.5 F-statistic vs. constant model: 435, p-value = 7.4e-175 Ranksum or t-test p values for accuracy per mouse per odor pair for thetagamma prefrontal pFDR = 4.107143e-02 p value t-test for Pref peak shuffled naive vs Pref peak proficient = 3.807743e-52 p value t-test for Pref peak shuffled naive vs Pref trough proficient = 1.483260e-41 p value t-test for Pref trough shuffled proficient vs Pref trough proficient = 9.103567e-28 p value ranksum for Pref peak shuffled proficient vs Pref peak proficient = 3.224337e-17 p value ranksum for Pref peak shuffled proficient vs Pref trough proficient = 3.224337e-17 p value ranksum for Pref peak proficient vs Pref trough shuffled proficient = 3.225126e-17 p value ranksum for Pref peak proficient vs Pref trough shuffled naive = 4.736560e-17 p value ranksum for Pref trough shuffled naive vs Pref trough proficient = 4.736560e-17 p value ranksum for Pref peak naive vs Pref peak proficient = 5.375672e-17 p value ranksum for Pref peak proficient vs Pref trough naive = 6.098172e-17 p value ranksum for Pref trough naive vs Pref trough proficient = 1.217068e-16 p value ranksum for Pref peak naive vs Pref trough proficient = 2.003919e-16 p value ranksum for Pref peak naive vs Pref trough shuffled naive = 6.622435e-09 p value ranksum for Pref peak proficient vs Pref trough proficient = 8.623362e-07 p value ranksum for Pref peak naive vs Pref trough shuffled proficient = 1.332472e-06 p value ranksum for Pref peak naive vs Pref peak shuffled proficient = 1.546824e-06 p value t-test for Pref peak shuffled naive vs Pref peak naive = 1.193829e-05 p value ranksum for Pref trough shuffled naive vs Pref trough shuffled proficient = 8.220962e-05 p value ranksum for Pref peak shuffled proficient vs Pref trough shuffled naive = 5.599953e-04 p value t-test for Pref peak shuffled naive vs Pref trough shuffled proficient = 5.953039e-03 p value ranksum for Pref trough shuffled naive vs Pref trough naive = 9.595309e-03 p value t-test for Pref peak shuffled naive vs Pref trough naive = 1.196376e-02 p value ranksum for Pref peak naive vs Pref trough naive = 1.906287e-02 p values below are > pFDR p value t-test for Pref peak shuffled naive vs Pref peak shuffled proficient = 6.961189e-02 p value t-test for Pref peak shuffled naive vs Pref trough shuffled naive = 1.112102e-01 p value ranksum for Pref peak shuffled proficient vs Pref trough naive = 2.754723e-01 p value ranksum for Pref trough naive vs Pref trough shuffled proficient = 4.257364e-01 p value ranksum for Pref peak shuffled proficient vs Pref trough shuffled proficient = 9.707721e-01 Nested ANOVAN for accuracy during odor per mouse per odor pair for gamma for prefrontal Source Sum Sq. d.f. Singular? Mean Sq. F Prob>F peak_vs_trough 772.96215 1.00000 0.00000 772.96215 62.37510 0.00000 naive_vs_proficient 21297.61276 1.00000 0.00000 21297.61276 1718.63623 0.00000 shuffled 29024.09181 1.00000 0.00000 29024.09181 2342.13366 0.00000 mouse_no(peak_vs_trough,naive_vs_proficient,shuffled) 4965.42916 41.00000 0.00000 121.10803 9.77296 0.00000 peak_vs_trough*naive_vs_proficient 211.39315 1.00000 0.00000 211.39315 17.05862 0.00005 peak_vs_trough*shuffled 659.90354 1.00000 0.00000 659.90354 53.25170 0.00000 naive_vs_proficient*shuffled 18918.11015 1.00000 0.00000 18918.11015 1526.61944 0.00000 Error 4114.19665 332.00000 0.00000 12.39216 Total 80446.06079 379.00000 0.00000