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analysis(matlab): rate + count outputs, variation batch 4

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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_10/result.txt
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==============================================================================
VARIATION: unmerge_d0_10
VARIATION: unmerge_d0_10 [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(57)= 1.49 F(1)= 2.208 p=0.1428 p=0.1428 (df=57)
day (learning) t(57)= 10.08 F(1)=101.556 p=2.832e-14 p=1.931e-14 (df=59)
stim (main, window start) t(57)= 0.68 F(1)= 0.466 p=0.4974 p=0.5037 (df=17)
interaction 95% CI: [-0.54, +3.66]
interaction 95% CI: [-0.5416, +3.657]
HONEST LME (per-animal random slope, day|rat): interaction F(1,13.0)=1.46, p=0.2479
(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=0.1428, slope diff=+1.56)
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=0.1428, slope diff=+1.558)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.