analysis(matlab): rate + count outputs, variation batch 2

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:52 -04:00
parent 0a438a4649
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+==============================================================================
+VARIATION: naive_a2_d6_10   [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, Naive
+N = 9 rats, 45 sessions   raw day coverage: treat 6..10, control 6..10
+(equal day coverage over this window)
+
+==============================================================================
+FULL MODEL SUMMARY -- fitlme
+==============================================================================
+
+Linear mixed-effects model fit by ML
+
+Model information:
+    Number of observations              45
+    Fixed effects coefficients           4
+    Random effects coefficients          9
+    Covariance parameters                2
+
+Formula:
+    behavior ~ 1 + day*stim + (1 | rat)
+
+Model fit statistics:
+    AIC       BIC       LogLikelihood    Deviance
+    -89.86    -79.02    50.93            -101.86 
+
+Fixed effects coefficients (95% CIs):
+    Name                   Estimate     SE          tStat      DF    pValue    
+    {'(Intercept)'}          0.46152    0.032656     14.133    41     2.355e-17
+    {'day'        }         0.034211    0.008518     4.0163    41    0.00024603
+    {'stim'       }          0.18209    0.056562     3.2193    41     0.0025147
+    {'day:stim'   }        -0.022011    0.014754    -1.4919    41       0.14338
+
+
+    Lower        Upper    
+      0.39557      0.52747
+     0.017008     0.051413
+     0.067859      0.29632
+    -0.051806    0.0077844
+
+Random effects covariance parameters (95% CIs):
+Group: rat (9 Levels)
+    Name1                  Name2                  Type           Estimate
+    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.061534
+
+
+    Lower       Upper  
+    0.034776    0.10888
+
+Group: Error
+    Name               Estimate    Lower       Upper   
+    {'Res Std'}        0.06598     0.052372    0.083124
+
+
+effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
+----------------------------------------------------------------------------
+stim x day (interaction)   t(41)= -1.49 F(1)=  2.226  p=0.1434    p=0.1444 (df=36)
+day (learning)             t(41)=  4.02 F(1)= 16.131  p=0.000246    p=0.0002875 (df=36)
+stim (main, window start)  t(41)=  3.22 F(1)= 10.364  p=0.002515    p=0.005217 (df=16)
+interaction 95% CI: [-0.05181, +0.007784]
+HONEST LME (per-animal random slope, day|rat): interaction F(1,9.0)=1.61, p=0.2369
+  (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=0.1434, slope diff=-0.02201)
+Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.