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VARIATION: right_only_d0_13
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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, 84 sessions   raw day coverage: treat 0..13, control 0..13
(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              84
    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
    695.18    709.77    -341.59          683.18  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE         tStat      DF    pValue    
    {'(Intercept)'}          21.7       4.3761     4.9587    80    3.9065e-06
    {'day'        }        6.4863      0.68669     9.4459    80    1.1708e-14
    {'stim'       }        3.5986       5.6847    0.63303    80       0.52852
    {'day:stim'   }        1.7002      0.84679     2.0078    80      0.048042


    Lower       Upper 
      12.991    30.409
      5.1198    7.8529
     -7.7143    14.911
    0.015009    3.3853

Random effects covariance parameters (95% CIs):
Group: rat (7 Levels)
    Name1                  Name2                  Type           Estimate  
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        3.1353e-15


    Lower    Upper
    NaN      NaN  

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        14.12       12.139    16.425


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(80)=  2.01 F(1)=  4.031  p=0.04804    p=0.04788 (df=84)
day (learning)             t(80)=  9.45 F(1)= 89.224  p=1.171e-14    p=7.518e-15 (df=84)
stim (main, window start)  t(80)=  0.63 F(1)=  0.401  p=0.5285    p=0.5284 (df=84)
interaction 95% CI: [+0.02, +3.39]
HONEST LME (per-animal random slope, day|rat): interaction F(1,20.2)=2.92, p=0.1029
  (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=0.04804, slope diff=+1.70)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.