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

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Experiments DB Dev
2026-07-24 02:32:52 -04:00
parent 0a438a4649
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VARIATION: matched_current_d0_3 [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): Electrode-Box-B2
control (stim=0): Electrode-Box-A2
N = 6 rats, 24 sessions raw day coverage: treat 0..3, control 0..3
(equal day coverage over this window)
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FULL MODEL SUMMARY -- fitlme
==============================================================================
Linear mixed-effects model fit by ML
Model information:
Number of observations 24
Fixed effects coefficients 4
Random effects coefficients 6
Covariance parameters 2
Formula:
behavior ~ 1 + day*stim + (1 | rat)
Model fit statistics:
AIC BIC LogLikelihood Deviance
-40.724 -33.656 26.362 -52.724
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue
{'(Intercept)'} 0.23952 0.039567 6.0535 20 6.443e-06
{'day' } 0.027914 0.020245 1.3788 20 0.18317
{'stim' } -0.089781 0.055956 -1.6045 20 0.12428
{'day:stim' } 0.077228 0.02863 2.6974 20 0.013857
Lower Upper
0.15698 0.32205
-0.014316 0.070144
-0.2065 0.026941
0.017506 0.13695
Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 0.019829
Lower Upper
0.00093276 0.42155
Group: Error
Name Estimate Lower Upper
{'Res Std'} 0.078408 0.056558 0.1087
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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stim x day (interaction) t(20)= 2.70 F(1)= 7.276 p=0.01386 p=0.01473 (df=18)
day (learning) t(20)= 1.38 F(1)= 1.901 p=0.1832 p=0.1848 (df=18)
stim (main, window start) t(20)= -1.60 F(1)= 2.574 p=0.1243 p=0.1235 (df=21)
interaction 95% CI: [+0.01751, +0.1369]
HONEST LME (per-animal random slope, day|rat): interaction F(1,18.0)=7.28, p=0.01473
(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 SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.01386, slope diff=+0.07723)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.