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VARIATION: boxa_b2_d0_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-A, Electrode-Box-B2
control   (stim=0): Electrode-Box-A2
N = 7 rats, 72 sessions   raw day coverage: treat 0..10, control 0..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              72
    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
    587.74    601.4    -287.87          575.74  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE         tStat      DF    pValue    
    {'(Intercept)'}        17.308       5.4187     3.1941    68     0.0021263
    {'day'        }        8.0028      0.78816     10.154    68    2.9164e-15
    {'stim'       }        1.8623       7.1264    0.26132    68       0.79463
    {'day:stim'   }         1.604      0.98592     1.6269    68       0.10838


    Lower       Upper 
      6.4953    28.121
      6.4301    9.5756
     -12.358    16.083
    -0.36337    3.5714

Random effects covariance parameters (95% CIs):
Group: rat (7 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        6.0474  


    Lower     Upper 
    2.8281    12.931

Group: Error
    Name               Estimate    Lower    Upper 
    {'Res Std'}        12.425      10.46    14.759


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(68)=  1.63 F(1)=  2.647  p=0.1084    p=0.1084 (df=68)
day (learning)             t(68)= 10.15 F(1)=103.100  p=2.916e-15    p=2.368e-15 (df=69)
stim (main, window start)  t(68)=  0.26 F(1)=  0.068  p=0.7946    p=0.7968 (df=18)
interaction 95% CI: [-0.36, +3.57]
HONEST LME (per-animal random slope, day|rat): interaction F(1,22.2)=2.05, p=0.1666
  (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=0.1084, slope diff=+1.60)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.