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experiments-database/analysis/matlab/variations/naive_boxa_d0_10/result_rate.txt
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Experiments DB Dev 0e16690c8f 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

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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)
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FULL MODEL SUMMARY -- fitlme
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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.