analysis(matlab): rate + count outputs, variation batch 1

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Experiments DB Dev
2026-07-24 02:32:51 -04:00
parent 1009f263e8
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VARIATION: boxa_a2_d6_10 [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-A, Electrode-Box-A2
N = 6 rats, 30 sessions raw day coverage: treat 6..10, control 6..10
(equal day coverage over this window)
==============================================================================
FULL MODEL SUMMARY -- fitlme
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Linear mixed-effects model fit by ML
Model information:
Number of observations 30
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
-67.521 -59.114 39.761 -79.521
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF
{'(Intercept)'} 0.54193 0.035861 15.112 26
{'day' } 0.015949 0.010163 1.5693 26
{'stim' } 0.10168 0.050715 2.0049 26
{'day:stim' } -0.0037489 0.014373 -0.26083 26
pValue Lower Upper
2.1656e-14 0.46821 0.61564
0.12868 -0.0049418 0.036839
0.05549 -0.0025676 0.20592
0.79628 -0.033292 0.025795
Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 0.044709
Lower Upper
0.021196 0.094306
Group: Error
Name Estimate Lower Upper
{'Res Std'} 0.055665 0.041949 0.073866
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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stim x day (interaction) t(26)= -0.26 F(1)= 0.068 p=0.7963 p=0.7964 (df=24)
day (learning) t(26)= 1.57 F(1)= 2.463 p=0.1287 p=0.1297 (df=24)
stim (main, window start) t(26)= 2.00 F(1)= 4.020 p=0.05549 p=0.06743 (df=12)
interaction 95% CI: [-0.03329, +0.02579]
HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=0.04, p=0.8467
(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=0.7963, slope diff=-0.003749)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.