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VARIATION: right_only_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, Right-Electrode
control   (stim=0): 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
    331.16    341.59    -159.58          319.16  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat       DF    pValue    
    {'(Intercept)'}         12.524     5.1493      2.4321    38      0.019831
    {'day'        }         9.8571     1.3751      7.1681    38    1.4583e-08
    {'stim'       }        -4.9762     6.8119    -0.73051    38       0.46956
    {'day:stim'   }         5.3071     1.8191      2.9174    38     0.0058973


    Lower      Upper 
     2.0996    22.948
     7.0733    12.641
    -18.766    8.8138
     1.6245    8.9898

Random effects covariance parameters (95% CIs):
Group: rat (7 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        5.2482  


    Lower     Upper 
    2.2427    12.282

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        9.9638      7.8829    12.594


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(38)=  2.92 F(1)=  8.511  p=0.005897    p=0.006128 (df=35)
day (learning)             t(38)=  7.17 F(1)= 51.382  p=1.458e-08    p=2.321e-08 (df=35)
stim (main, window start)  t(38)= -0.73 F(1)=  0.534  p=0.4696    p=0.4735 (df=20)
interaction 95% CI: [+1.62, +8.99]
HONEST LME (per-animal random slope, day|rat): interaction F(1,7.0)=3.94, p=0.08763
  (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=0.005897, slope diff=+5.31)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.