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experiments-database/analysis/matlab/variations/naive_boxa_d0_13/result.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_13 [metric: success COUNT]
==============================================================================
model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT)
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, 138 sessions raw day coverage: treat 0..13, control 0..13
(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 138
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
1172.3 1189.8 -580.14 1160.3
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue
{'(Intercept)'} 15.925 4.1997 3.792 134 0.00022515
{'day' } 6.7124 0.401 16.739 134 1.2129e-34
{'stim' } 11.848 7.9908 1.4827 134 0.1405
{'day:stim' } 1.3064 0.75238 1.7363 134 0.084806
Lower Upper
7.619 24.231
5.9193 7.5055
-3.9564 27.652
-0.1817 2.7945
Random effects covariance parameters (95% CIs):
Group: rat (11 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 8.76
Lower Upper
5.1941 14.774
Group: Error
Name Estimate Lower Upper
{'Res Std'} 15.18 13.424 17.167
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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stim x day (interaction) t(134)= 1.74 F(1)= 3.015 p=0.08481 p=0.08489 (df=129)
day (learning) t(134)= 16.74 F(1)=280.201 p=1.213e-34 p=2.161e-34 (df=131)
stim (main, window start) t(134)= 1.48 F(1)= 2.198 p=0.1405 p=0.1519 (df=23)
interaction 95% CI: [-0.1817, +2.794]
HONEST LME (per-animal random slope, day|rat): interaction F(1,25.3)=2.32, p=0.1403
(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=0.08481, slope diff=+1.306)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.