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analysis(matlab): rate + count outputs, variation batch 2

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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_a2_d6_13/result.txt
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==============================================================================
VARIATION: naive_a2_d6_13
VARIATION: naive_a2_d6_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(61)= 0.78 F(1)= 0.605 p=0.4398 p=0.4399 (df=58)
day (learning) t(61)= 3.39 F(1)= 11.485 p=0.001235 p=0.001274 (df=57)
stim (main, window start) t(61)= 2.46 F(1)= 6.072 p=0.01657 p=0.02473 (df=17)
interaction 95% CI: [-1.82, +4.13]
interaction 95% CI: [-1.815, +4.126]
HONEST LME (per-animal random slope, day|rat): interaction F(1,7.7)=0.36, p=0.5635
(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=0.4398, slope diff=+1.16)
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=0.4398, slope diff=+1.155)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.