analysis(matlab): rate + count outputs, variation batch 5

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:53 -04:00
parent 1606eb698b
commit fd40b6fb54
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+==============================================================================
+VARIATION: unmerge_d6_13   [metric: success RATE (success/attempts)]
+==============================================================================
+model: behavior ~ stim + day + stim:day + (1|rat)   (behavior = success RATE (success/attempts))
+day = training day within window (0 = first analyzed day)
+treatment (stim=1): Electrode-Box-B2
+control   (stim=0): Electrode-Box-A2
+N = 5 rats, 34 sessions   raw day coverage: treat 6..13, control 6..13
+(equal day coverage over this window)
+
+==============================================================================
+FULL MODEL SUMMARY -- fitlme
+==============================================================================
+
+Linear mixed-effects model fit by ML
+
+Model information:
+    Number of observations              34
+    Fixed effects coefficients           4
+    Random effects coefficients          5
+    Covariance parameters                2
+
+Formula:
+    behavior ~ 1 + day*stim + (1 | rat)
+
+Model fit statistics:
+    AIC        BIC        LogLikelihood    Deviance
+    -85.035    -75.877    48.518           -97.035 
+
+Fixed effects coefficients (95% CIs):
+    Name                   Estimate     SE           tStat      DF    pValue   
+    {'(Intercept)'}          0.53562       0.0416     12.875    30    9.415e-14
+    {'day'        }        0.0032833    0.0069042    0.47554    30      0.63784
+    {'stim'       }          0.10269     0.053584     1.9164    30      0.06488
+    {'day:stim'   }         0.012156    0.0086128     1.4114    30      0.16841
+
+
+    Lower         Upper   
+       0.45066     0.62058
+     -0.010817    0.017384
+    -0.0067429     0.21212
+    -0.0054334    0.029746
+
+Random effects covariance parameters (95% CIs):
+Group: rat (5 Levels)
+    Name1                  Name2                  Type           Estimate
+    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.048154
+
+
+    Lower       Upper   
+    0.023654    0.098032
+
+Group: Error
+    Name               Estimate    Lower       Upper   
+    {'Res Std'}        0.050284    0.038906    0.064989
+
+
+effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
+----------------------------------------------------------------------------
+stim x day (interaction)   t(30)=  1.41 F(1)=  1.992  p=0.1684    p=0.1684 (df=30)
+day (learning)             t(30)=  0.48 F(1)=  0.226  p=0.6378    p=0.6378 (df=30)
+stim (main, window start)  t(30)=  1.92 F(1)=  3.673  p=0.06488    p=0.09052 (df=8)
+interaction 95% CI: [-0.005433, +0.02975]
+HONEST LME (per-animal random slope, day|rat): interaction F(1,2.3)=0.03, p=0.8749
+  (Satterthwaite DF ~= residual on this random-intercept model; the random-slope
+   model above is the honest learning-rate test -- DF collapses toward the animal count.)
+INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.1684, slope diff=+0.01216)
+Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.