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VARIATION: prev_f_full   [metric: success RATE (success/attempts)]
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model: behavior ~ stim + day + stim:day + (1|rat)   (behavior = success RATE (success/attempts))
day = training day within window (0 = first analyzed day)
treatment (stim=1): b2_f
control   (stim=0): a2_f
N = 24 rats, 231 sessions   raw day coverage: treat 0..9, control 0..9
(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             231
    Fixed effects coefficients           4
    Random effects coefficients         24
    Covariance parameters                2

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

Model fit statistics:
    AIC        BIC        LogLikelihood    Deviance
    -441.62    -420.96    226.81           -453.62 

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE           tStat     DF     pValue    
    {'(Intercept)'}         0.25306     0.024155    10.477    227    3.3213e-21
    {'day'        }        0.017111    0.0027396     6.246    227    2.0536e-09
    {'stim'       }        0.040889     0.034129    1.1981    227       0.23214
    {'day:stim'   }        0.006292    0.0038198    1.6472    227        0.1009


    Lower         Upper   
       0.20547     0.30066
      0.011713     0.02251
     -0.026361     0.10814
    -0.0012348    0.013819

Random effects covariance parameters (95% CIs):
Group: rat (24 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.06824 


    Lower       Upper   
    0.049364    0.094332

Group: Error
    Name               Estimate    Lower      Upper  
    {'Res Std'}        0.081522    0.07404    0.08976


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(227)=  1.65 F(1)=  2.713  p=0.1009    p=0.101 (df=209)
day (learning)             t(227)=  6.25 F(1)= 39.012  p=2.054e-09    p=2.316e-09 (df=209)
stim (main, window start)  t(227)=  1.20 F(1)=  1.435  p=0.2321    p=0.2378 (df=41)
interaction 95% CI: [-0.001235, +0.01382]
HONEST LME (per-animal random slope, day|rat): interaction F(1,22.9)=1.78, p=0.1956
  (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=0.1009, slope diff=+0.006292)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.