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

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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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analysis/matlab/variations/unmerge_d0_5/result.txt
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==============================================================================
VARIATION: unmerge_d0_5
VARIATION: unmerge_d0_5 [metric: success COUNT]
==============================================================================
model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT)
day = training day within window (0 = first analyzed day)
@@ -60,9 +60,9 @@ effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
stim x day (interaction) t(32)= 2.57 F(1)= 6.588 p=0.01515 p=0.0155 (df=30)
day (learning) t(32)= 6.67 F(1)= 44.528 p=1.571e-07 p=2.162e-07 (df=30)
stim (main, window start) t(32)= -0.40 F(1)= 0.163 p=0.6888 p=0.6906 (df=19)
interaction 95% CI: [+1.11, +9.62]
interaction 95% CI: [+1.107, +9.617]
HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=3.02, p=0.1331
(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 SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.01515, slope diff=+5.36)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.01515, slope diff=+5.362)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.