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VARIATION: naive_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-A2, Naive
N = 10 rats, 104 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             104
    Fixed effects coefficients           4
    Random effects coefficients         10
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    869.17    885.04    -428.58          857.17  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE         tStat     DF     pValue   
    {'(Intercept)'}         10.33       4.4952     2.298    100     0.023646
    {'day'        }        8.0905      0.53615     15.09    100    1.598e-27
    {'stim'       }        12.019        8.117    1.4807    100      0.14184
    {'day:stim'   }        1.4337      0.92893    1.5434    100      0.12589


    Lower       Upper 
      1.4115    19.248
      7.0268    9.1542
     -4.0853    28.123
    -0.40926    3.2767

Random effects covariance parameters (95% CIs):
Group: rat (10 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        8.753   


    Lower     Upper
    5.0208    15.26

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        13.78       11.942    15.902


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(100)=  1.54 F(1)=  2.382  p=0.1259    p=0.1261 (df=95)
day (learning)             t(100)= 15.09 F(1)=227.710  p=1.598e-27    p=4.059e-27 (df=96)
stim (main, window start)  t(100)=  1.48 F(1)=  2.192  p=0.1418    p=0.1543 (df=20)
interaction 95% CI: [-0.41, +3.28]
HONEST LME (per-animal random slope, day|rat): interaction F(1,9.0)=1.16, p=0.3093
  (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=0.1259, slope diff=+1.43)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.