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VARIATION: naive_boxa_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
control   (stim=0): Electrode-Box-A, Electrode-Box-A2, Naive
N = 10 rats, 50 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              50
    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
    405.22    416.69    -196.61          393.22  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat       DF    pValue    
    {'(Intercept)'}        64.543      5.1823      12.454    46    2.4341e-16
    {'day'        }        5.7857      1.2123      4.7727    46    1.8769e-05
    {'stim'       }         23.99      9.4616      2.5356    46      0.014689
    {'day:stim'   }        -1.619      2.2133    -0.73152    46       0.46817


    Lower      Upper 
     54.111    74.974
     3.3456    8.2259
     4.9452    43.036
    -6.0741     2.836

Random effects covariance parameters (95% CIs):
Group: rat (10 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        11.237  


    Lower     Upper
    6.7417    18.73

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        10.142      8.1466    12.627


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(46)= -0.73 F(1)=  0.535  p=0.4682    p=0.4687 (df=40)
day (learning)             t(46)=  4.77 F(1)= 22.779  p=1.877e-05    p=2.436e-05 (df=40)
stim (main, window start)  t(46)=  2.54 F(1)=  6.429  p=0.01469    p=0.02198 (df=16)
interaction 95% CI: [-6.07, +2.84]
HONEST LME (per-animal random slope, day|rat): interaction F(1,10.0)=0.41, p=0.5344
  (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=0.4682, slope diff=-1.62)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.