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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_13/result.txt
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==============================================================================
VARIATION: unmerge_d0_13
VARIATION: unmerge_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)
@@ -60,9 +60,9 @@ effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
stim x day (interaction) t(66)= 1.65 F(1)= 2.721 p=0.1038 p=0.1035 (df=70)
day (learning) t(66)= 9.09 F(1)= 82.593 p=3.035e-13 p=1.823e-13 (df=70)
stim (main, window start) t(66)= 0.95 F(1)= 0.910 p=0.3436 p=0.3434 (df=70)
interaction 95% CI: [-0.33, +3.42]
interaction 95% CI: [-0.3252, +3.419]
HONEST LME (per-animal random slope, day|rat): interaction F(1,12.8)=1.64, p=0.2227
(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=0.1038, slope diff=+1.55)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.1038, slope diff=+1.547)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.