analysis(matlab): rate + count outputs, variation batch 2

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:52 -04:00
parent 0a438a4649
commit 6ba21a1a35
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+==============================================================================
+VARIATION: naive_a2_d0_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-A2, Naive
+N = 10 rats, 102 sessions   raw day coverage: treat 0..10, control 0..10
+(equal day coverage over this window)
+
+==============================================================================
+FULL MODEL SUMMARY -- fitlme
+==============================================================================
+
+Linear mixed-effects model fit by ML
+
+Model information:
+    Number of observations             102
+    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
+    -159.21    -143.46    85.607           -171.21 
+
+Fixed effects coefficients (95% CIs):
+    Name                   Estimate    SE           tStat     DF    pValue    
+    {'(Intercept)'}         0.19588      0.02981     6.571    98    2.4247e-09
+    {'day'        }         0.04169    0.0039441     10.57    98    7.0294e-18
+    {'stim'       }         0.05903      0.05266     1.121    98       0.26504
+    {'day:stim'   }        0.011235    0.0066828    1.6812    98      0.095917
+
+
+    Lower        Upper   
+      0.13672     0.25504
+     0.033863    0.049517
+    -0.045471     0.16353
+    -0.002027    0.024497
+
+Random effects covariance parameters (95% CIs):
+Group: rat (10 Levels)
+    Name1                  Name2                  Type           Estimate
+    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.050962
+
+
+    Lower       Upper   
+    0.027158    0.095633
+
+Group: Error
+    Name               Estimate    Lower       Upper  
+    {'Res Std'}        0.098003    0.084761    0.11331
+
+
+effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
+----------------------------------------------------------------------------
+stim x day (interaction)   t(98)=  1.68 F(1)=  2.826  p=0.09592    p=0.09609 (df=93)
+day (learning)             t(98)= 10.57 F(1)=111.730  p=7.029e-18    p=9.281e-18 (df=96)
+stim (main, window start)  t(98)=  1.12 F(1)=  1.257  p=0.265    p=0.2735 (df=24)
+interaction 95% CI: [-0.002027, +0.0245]
+HONEST LME (per-animal random slope, day|rat): interaction F(1,8.4)=2.15, p=0.1786
+  (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=0.09592, slope diff=+0.01123)
+Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.