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experiments-database/analysis/matlab/variations/boxa_a2_d0_10/result_rate.txt
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Experiments DB Dev 0a438a4649 analysis(matlab): rate + count outputs, variation batch 1
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:51 -04:00

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VARIATION: boxa_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-A, Electrode-Box-A2
N = 7 rats, 72 sessions raw day coverage: treat 0..10, control 0..10
(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 72
Fixed effects coefficients 4
Random effects coefficients 7
Covariance parameters 2
Formula:
behavior ~ 1 + day*stim + (1 | rat)
Model fit statistics:
AIC BIC LogLikelihood Deviance
-124.36 -110.7 68.18 -136.36
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue
{'(Intercept)'} 0.21277 0.032537 6.5394 68 9.4885e-09
{'day' } 0.04572 0.0046771 9.7753 68 1.3713e-14
{'stim' } 0.042139 0.049417 0.85273 68 0.3968
{'day:stim' } 0.0072048 0.0067664 1.0648 68 0.29074
Lower Upper
0.14785 0.2777
0.036387 0.055053
-0.056471 0.14075
-0.0062973 0.020707
Random effects covariance parameters (95% CIs):
Group: rat (7 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 0.040493
Lower Upper
0.018248 0.089857
Group: Error
Name Estimate Lower Upper
{'Res Std'} 0.088826 0.074767 0.10553
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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stim x day (interaction) t(68)= 1.06 F(1)= 1.134 p=0.2907 p=0.2908 (df=67)
day (learning) t(68)= 9.78 F(1)= 95.556 p=1.371e-14 p=1.275e-14 (df=68)
stim (main, window start) t(68)= 0.85 F(1)= 0.727 p=0.3968 p=0.4044 (df=19)
interaction 95% CI: [-0.006297, +0.02071]
HONEST LME (per-animal random slope, day|rat): interaction F(1,29.1)=0.97, p=0.3332
(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=0.2907, slope diff=+0.007205)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.