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VARIATION: naive_a2_d0_5   [metric: success COUNT]
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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, 59 sessions   raw day coverage: treat 0..5, control 0..5
(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              59
    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
    489.28    501.74    -238.64          477.28  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat       DF    pValue    
    {'(Intercept)'}         9.0584     5.0267      1.8021    55      0.077018
    {'day'        }         8.2568     1.1279      7.3206    55    1.1254e-09
    {'stim'       }        0.44958      9.048    0.049688    55       0.96055
    {'day:stim'   }         6.9622     2.0162      3.4532    55     0.0010733


    Lower      Upper 
    -1.0153    19.132
     5.9965    10.517
    -17.683    18.582
     2.9217    11.003

Random effects covariance parameters (95% CIs):
Group: rat (10 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        9.6432  


    Lower     Upper 
    5.5002    16.907

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        12.109      9.9317    14.763


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(55)=  3.45 F(1)= 11.924  p=0.001073    p=0.001152 (df=49)
day (learning)             t(55)=  7.32 F(1)= 53.591  p=1.125e-09    p=2.092e-09 (df=49)
stim (main, window start)  t(55)=  0.05 F(1)=  0.002  p=0.9606    p=0.9609 (df=20)
interaction 95% CI: [+2.922, +11]
HONEST LME (per-animal random slope, day|rat): interaction F(1,9.7)=6.65, p=0.02815
  (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 SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.001073, slope diff=+6.962)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
