analysis(matlab): rate + count outputs, variation batch 5

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Experiments DB Dev
2026-07-24 02:32:53 -04:00
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==============================================================================
VARIATION: unmerge_d0_13 [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-A2
N = 6 rats, 70 sessions raw day coverage: treat 0..13, control 0..13
(equal day coverage over this window)
==============================================================================
FULL MODEL SUMMARY -- fitlme
==============================================================================
Linear mixed-effects model fit by ML
Model information:
Number of observations 70
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
-114.71 -101.22 63.353 -126.71
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue
{'(Intercept)'} 0.25633 0.036798 6.9659 66 1.8623e-09
{'day' } 0.032331 0.0047766 6.7686 66 4.1691e-09
{'stim' } 0.03233 0.051391 0.6291 66 0.53146
{'day:stim' } 0.011248 0.0061725 1.8223 66 0.07294
Lower Upper
0.18286 0.3298
0.022794 0.041868
-0.070275 0.13493
-0.0010756 0.023572
Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 0.038979
Lower Upper
0.016492 0.092125
Group: Error
Name Estimate Lower Upper
{'Res Std'} 0.093402 0.07855 0.11106
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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stim x day (interaction) t(66)= 1.82 F(1)= 3.321 p=0.07294 p=0.07278 (df=68)
day (learning) t(66)= 6.77 F(1)= 45.814 p=4.169e-09 p=3.37e-09 (df=70)
stim (main, window start) t(66)= 0.63 F(1)= 0.396 p=0.5315 p=0.5377 (df=17)
interaction 95% CI: [-0.001076, +0.02357]
HONEST LME (per-animal random slope, day|rat): interaction F(1,41.8)=3.20, p=0.08108
(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=0.07294, slope diff=+0.01125)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.