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VARIATION: boxa_a2_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-B2
control   (stim=0): Electrode-Box-A, 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
    590.8    604.46    -289.4           578.8   

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE         tStat     DF    pValue    
    {'(Intercept)'}        15.599       3.8531    4.0485    68    0.00013444
    {'day'        }        8.3258      0.69175    12.036    68    1.6397e-18
    {'stim'       }        6.7494       5.8389    1.1559    68       0.25175
    {'day:stim'   }        1.1985       1.0141    1.1818    68        0.2414


    Lower       Upper 
      7.9104    23.288
      6.9454    9.7061
     -4.9019    18.401
    -0.82514    3.2221

Random effects covariance parameters (95% CIs):
Group: rat (7 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0       


    Lower    Upper
    NaN      NaN  

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        13.471      11.441    15.861


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(68)=  1.18 F(1)=  1.397  p=0.2414    p=0.2412 (df=72)
day (learning)             t(68)= 12.04 F(1)=144.862  p=1.64e-18    p=6.575e-19 (df=72)
stim (main, window start)  t(68)=  1.16 F(1)=  1.336  p=0.2517    p=0.2515 (df=72)
interaction 95% CI: [-0.83, +3.22]
HONEST LME (per-animal random slope, day|rat): interaction F(1,14.0)=0.68, p=0.4245
  (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=0.2414, slope diff=+1.20)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.