analysis(matlab): rate + count outputs, variation batch 3

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:52 -04:00
parent 6ba21a1a35
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+==============================================================================
+VARIATION: naive_boxa_d6_10   [metric: success RATE (success/attempts)]
+==============================================================================
+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): 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)
+
+==============================================================================
+FULL MODEL SUMMARY -- fitlme
+==============================================================================
+
+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
+    -102.02    -90.545    57.008           -114.02 
+
+Fixed effects coefficients (95% CIs):
+    Name                   Estimate     SE           tStat      DF    pValue    
+    {'(Intercept)'}           0.4775     0.030961     15.422    46    8.4559e-20
+    {'day'        }         0.033319    0.0077275     4.3117    46    8.4717e-05
+    {'stim'       }           0.1661     0.056527     2.9385    46     0.0051416
+    {'day:stim'   }        -0.021119     0.014108    -1.4969    46       0.14124
+
+
+    Lower        Upper    
+      0.41518      0.53982
+     0.017764     0.048873
+     0.052321      0.27989
+    -0.049518    0.0072795
+
+Random effects covariance parameters (95% CIs):
+Group: rat (10 Levels)
+    Name1                  Name2                  Type           Estimate
+    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.064825
+
+
+    Lower       Upper  
+    0.038261    0.10983
+
+Group: Error
+    Name               Estimate    Lower      Upper   
+    {'Res Std'}        0.064653    0.05193    0.080492
+
+
+effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
+----------------------------------------------------------------------------
+stim x day (interaction)   t(46)= -1.50 F(1)=  2.241  p=0.1412    p=0.1423 (df=40)
+day (learning)             t(46)=  4.31 F(1)= 18.591  p=8.472e-05    p=0.0001028 (df=40)
+stim (main, window start)  t(46)=  2.94 F(1)=  8.635  p=0.005142    p=0.009071 (df=17)
+interaction 95% CI: [-0.04952, +0.00728]
+HONEST LME (per-animal random slope, day|rat): interaction F(1,10.0)=1.71, p=0.2198
+  (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=0.1412, slope diff=-0.02112)
+Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.