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VARIATION: boxa_b2_d6_10   [metric: success RATE (success/attempts)]
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model: behavior ~ stim + day + stim:day + (1|rat)   (behavior = success RATE (success/attempts))
day = training day within window (0 = first analyzed day)
treatment (stim=1): Electrode-Box-A, Electrode-Box-B2
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
    -69.131    -60.724    40.566           -81.131 

Fixed effects coefficients (95% CIs):
    Name                   Estimate     SE          tStat      DF    pValue    
    {'(Intercept)'}          0.52619    0.040432     13.014    26    6.8005e-13
    {'day'        }        0.0099391    0.012422    0.80014    26       0.43088
    {'stim'       }         0.099864    0.049519     2.0167    26      0.054168
    {'day:stim'   }        0.0062025    0.015213     0.4077    26       0.68683


    Lower         Upper   
       0.44308      0.6093
     -0.015594    0.035472
    -0.0019243     0.20165
     -0.025069    0.037474

Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.037656


    Lower       Upper   
    0.016562    0.085613

Group: Error
    Name               Estimate    Lower       Upper   
    {'Res Std'}        0.055552    0.041864    0.073715


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(26)=  0.41 F(1)=  0.166  p=0.6868    p=0.6871 (df=24)
day (learning)             t(26)=  0.80 F(1)=  0.640  p=0.4309    p=0.4315 (df=24)
stim (main, window start)  t(26)=  2.02 F(1)=  4.067  p=0.05417    p=0.06308 (df=14)
interaction 95% CI: [-0.02507, +0.03747]
HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=0.10, p=0.7623
  (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=0.6868, slope diff=+0.006202)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.