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VARIATION: right_only_d6_10
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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 = 6 rats, 30 sessions   raw day coverage: treat 6..10, control 6..10
(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              30
    Fixed effects coefficients           4
    Random effects coefficients          6
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    230.64    239.05    -109.32          218.64  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat     DF    pValue    
    {'(Intercept)'}         74.2       6.0309    12.303    26    2.4061e-12
    {'day'        }          2.4       1.8291    1.3121    26       0.20096
    {'stim'       }         11.9       7.3864    1.6111    26       0.11924
    {'day:stim'   }        2.425       2.2402    1.0825    26       0.28898


    Lower      Upper 
     61.803    86.597
    -1.3599    6.1599
    -3.2829    27.083
    -2.1799    7.0299

Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        5.7092  


    Lower     Upper 
    2.5487    12.789

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        8.1802      6.1646    10.855


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(26)=  1.08 F(1)=  1.172  p=0.289    p=0.2898 (df=24)
day (learning)             t(26)=  1.31 F(1)=  1.722  p=0.201    p=0.2019 (df=24)
stim (main, window start)  t(26)=  1.61 F(1)=  2.596  p=0.1192    p=0.1297 (df=14)
interaction 95% CI: [-2.18, +7.03]
HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=0.90, p=0.3784
  (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=0.289, slope diff=+2.42)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.