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
commit 0e16690c8f
72 changed files with 1875 additions and 897 deletions
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+==============================================================================
+VARIATION: naive_boxa_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-A, Electrode-Box-A2, Naive
+N = 11 rats, 113 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             113
+    Fixed effects coefficients           4
+    Random effects coefficients         11
+    Covariance parameters                2
+
+Formula:
+    behavior ~ 1 + day*stim + (1 | rat)
+
+Model fit statistics:
+    AIC        BIC        LogLikelihood    Deviance
+    -177.53    -161.16    94.764           -189.53 
+
+Fixed effects coefficients (95% CIs):
+    Name                   Estimate     SE           tStat     DF     pValue    
+    {'(Intercept)'}          0.19077     0.027729    6.8796    109    3.9606e-10
+    {'day'        }         0.044032    0.0036365    12.108    109     6.709e-22
+    {'stim'       }         0.064146     0.051551    1.2443    109       0.21605
+    {'day:stim'   }        0.0088928    0.0065096    1.3661    109       0.17471
+
+
+    Lower         Upper   
+       0.13581     0.24572
+      0.036824    0.051239
+     -0.038027     0.16632
+    -0.0040089    0.021795
+
+Random effects covariance parameters (95% CIs):
+Group: rat (11 Levels)
+    Name1                  Name2                  Type           Estimate
+    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.05104 
+
+
+    Lower       Upper   
+    0.028096    0.092721
+
+Group: Error
+    Name               Estimate    Lower       Upper  
+    {'Res Std'}        0.09808     0.085453    0.11257
+
+
+effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
+----------------------------------------------------------------------------
+stim x day (interaction)   t(109)=  1.37 F(1)=  1.866  p=0.1747    p=0.1749 (df=103)
+day (learning)             t(109)= 12.11 F(1)=146.612  p=6.709e-22    p=1.131e-21 (df=105)
+stim (main, window start)  t(109)=  1.24 F(1)=  1.548  p=0.2161    p=0.2244 (df=26)
+interaction 95% CI: [-0.004009, +0.02179]
+HONEST LME (per-animal random slope, day|rat): interaction F(1,9.6)=1.38, p=0.2681
+  (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=0.1747, slope diff=+0.008893)
+Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.