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VARIATION: naive_a2_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-A2, Naive
N = 9 rats, 45 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              45
    Fixed effects coefficients           4
    Random effects coefficients          9
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    368.51    379.35    -178.25          356.51  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat       DF    pValue    
    {'(Intercept)'}          62.1      5.5902      11.109    41    6.1328e-14
    {'day'        }        5.9667      1.3623      4.3798    41    8.0273e-05
    {'stim'       }        26.433      9.6824        2.73    41     0.0092904
    {'day:stim'   }          -1.8      2.3596    -0.76285    41       0.44992


    Lower      Upper 
      50.81     73.39
     3.2154    8.7179
     6.8793    45.987
    -6.5653    2.9653

Random effects covariance parameters (95% CIs):
Group: rat (9 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        10.986  


    Lower     Upper
    6.3454    19.02

Group: Error
    Name               Estimate    Lower    Upper 
    {'Res Std'}        10.552      8.376    13.294


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(41)= -0.76 F(1)=  0.582  p=0.4499    p=0.4505 (df=36)
day (learning)             t(41)=  4.38 F(1)= 19.183  p=8.027e-05    p=9.813e-05 (df=36)
stim (main, window start)  t(41)=  2.73 F(1)=  7.453  p=0.00929    p=0.01541 (df=15)
interaction 95% CI: [-6.57, +2.97]
HONEST LME (per-animal random slope, day|rat): interaction F(1,9.0)=0.44, p=0.5223
  (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=0.4499, slope diff=-1.80)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.