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VARIATION: unmerge_d0_10   [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
N = 6 rats, 61 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              61
    Fixed effects coefficients           4
    Random effects coefficients          6
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    499.59    512.25    -243.79          487.59  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE         tStat      DF    pValue    
    {'(Intercept)'}        17.372       5.1906     3.3469    57     0.0014518
    {'day'        }        7.9666      0.79053     10.077    57    2.8317e-14
    {'stim'       }        4.9763       7.2862    0.68298    57       0.49739
    {'day:stim'   }        1.5577       1.0483     1.4858    57       0.14283


    Lower      Upper 
     6.9783    27.766
     6.3836    9.5496
     -9.614    19.567
    -0.5416    3.6569

Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        5.3536  


    Lower     Upper 
    2.1542    13.305

Group: Error
    Name               Estimate    Lower    Upper 
    {'Res Std'}        12.508      10.37    15.086


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(57)=  1.49 F(1)=  2.208  p=0.1428    p=0.1428 (df=57)
day (learning)             t(57)= 10.08 F(1)=101.556  p=2.832e-14    p=1.931e-14 (df=59)
stim (main, window start)  t(57)=  0.68 F(1)=  0.466  p=0.4974    p=0.5037 (df=17)
interaction 95% CI: [-0.5416, +3.657]
HONEST LME (per-animal random slope, day|rat): interaction F(1,13.0)=1.46, p=0.2479
  (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=0.1428, slope diff=+1.558)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
