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analysis(matlab): rate + count outputs, variation batch 3

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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Experiments DB Dev
2026-07-24 02:32:52 -04:00
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analysis/matlab/variations/naive_boxa_d0_10/result.txt
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==============================================================================
VARIATION: naive_boxa_d0_10
VARIATION: naive_boxa_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(111)= 1.31 F(1)= 1.707 p=0.1941 p=0.1943 (df=104)
day (learning) t(111)= 16.91 F(1)=285.824 p=1.743e-32 p=6.758e-32 (df=106)
stim (main, window start) t(111)= 1.55 F(1)= 2.392 p=0.1248 p=0.1361 (df=22)
interaction 95% CI: [-0.61, +2.96]
interaction 95% CI: [-0.6088, +2.965]
HONEST LME (per-animal random slope, day|rat): interaction F(1,10.1)=0.83, p=0.3836
(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=0.1941, slope diff=+1.18)
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=0.1941, slope diff=+1.178)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.