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VARIATION: naive_boxa_d0_5
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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, Naive
N = 11 rats, 65 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              65
    Fixed effects coefficients           4
    Random effects coefficients         11
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    540.21    553.25    -264.1           528.21  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat     DF    pValue    
    {'(Intercept)'}        8.2006       4.622    1.7743    61      0.081011
    {'day'        }        8.8157      1.0827    8.1421    61    2.5062e-11
    {'stim'       }        1.3073      8.7275    0.1498    61       0.88142
    {'day:stim'   }        6.4033      2.0341    3.1479    61     0.0025447


    Lower      Upper 
    -1.0416    17.443
     6.6507    10.981
    -16.144    18.759
     2.3358    10.471

Random effects covariance parameters (95% CIs):
Group: rat (11 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        9.1032  


    Lower     Upper 
    5.2068    15.915

Group: Error
    Name               Estimate    Lower    Upper 
    {'Res Std'}        12.477      10.33    15.071


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(61)=  3.15 F(1)=  9.909  p=0.002545    p=0.002679 (df=54)
day (learning)             t(61)=  8.14 F(1)= 66.293  p=2.506e-11    p=5.765e-11 (df=54)
stim (main, window start)  t(61)=  0.15 F(1)=  0.022  p=0.8814    p=0.8822 (df=24)
interaction 95% CI: [+2.34, +10.47]
HONEST LME (per-animal random slope, day|rat): interaction F(1,10.5)=5.80, p=0.03561
  (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=0.002545, slope diff=+6.40)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.