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VARIATION: boxa_a2_d0_5   [metric: success COUNT]
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model: behavior ~ stim + day + stim:day + (1|rat)   (behavior = success COUNT)
day = training day within window (0 = first analyzed day)
treatment (stim=1): Electrode-Box-B2
control   (stim=0): Electrode-Box-A, Electrode-Box-A2
N = 7 rats, 42 sessions   raw day coverage: treat 0..5, control 0..5
(equal day coverage over this window)

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FULL MODEL SUMMARY -- fitlme
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Linear mixed-effects model fit by ML

Model information:
    Number of observations              42
    Fixed effects coefficients           4
    Random effects coefficients          7
    Covariance parameters                2

Formula:
    behavior ~ 1 + day*stim + (1 | rat)

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    339.96    350.39    -163.98          327.96  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat        DF    pValue    
    {'(Intercept)'}           10.06    4.3445       2.3155    38      0.026083
    {'day'        }          10.543    1.4349       7.3472    38    8.3775e-09
    {'stim'       }        -0.55159    6.6363    -0.083116    38        0.9342
    {'day:stim'   }          4.6762    2.1919       2.1334    38       0.03941


    Lower      Upper 
     1.2645    18.855
      7.638    13.448
    -13.986    12.883
     0.2389    9.1135

Random effects covariance parameters (95% CIs):
Group: rat (7 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0       


    Lower    Upper
    NaN      NaN  

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        12.006      9.6941    14.868


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(38)=  2.13 F(1)=  4.551  p=0.03941    p=0.03878 (df=42)
day (learning)             t(38)=  7.35 F(1)= 53.982  p=8.377e-09    p=4.651e-09 (df=42)
stim (main, window start)  t(38)= -0.08 F(1)=  0.007  p=0.9342    p=0.9342 (df=42)
interaction 95% CI: [+0.2389, +9.113]
HONEST LME (per-animal random slope, day|rat): interaction F(1,7.0)=2.87, p=0.1341
  (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 SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.03941, slope diff=+4.676)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.