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analysis(matlab): rate + count outputs, variation batch 1

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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Experiments DB Dev
2026-07-24 02:32:51 -04:00
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analysis/matlab/variations/boxa_b2_d6_10/result.txt
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==============================================================================
VARIATION: boxa_b2_d6_10
VARIATION: boxa_b2_d6_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(26)= 0.85 F(1)= 0.729 p=0.4009 p=0.4015 (df=24)
day (learning) t(26)= 1.32 F(1)= 1.746 p=0.1979 p=0.1989 (df=24)
stim (main, window start) t(26)= 1.56 F(1)= 2.448 p=0.1297 p=0.142 (df=13)
interaction 95% CI: [-2.67, +6.47]
interaction 95% CI: [-2.673, +6.473]
HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=0.61, p=0.4631
(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=0.4009, slope diff=+1.90)
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=0.4009, slope diff=+1.9)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.