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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/right_only_d0_10/result.txt
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==============================================================================
VARIATION: right_only_d0_10
VARIATION: right_only_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(68)= 1.83 F(1)= 3.336 p=0.07218 p=0.07218 (df=68)
day (learning) t(68)= 10.55 F(1)=111.222 p=5.943e-16 p=4.533e-16 (df=70)
stim (main, window start) t(68)= 0.37 F(1)= 0.134 p=0.7159 p=0.7187 (df=19)
interaction 95% CI: [-0.16, +3.62]
interaction 95% CI: [-0.1602, +3.62]
HONEST LME (per-animal random slope, day|rat): interaction F(1,20.5)=2.56, p=0.1246
(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=0.07218, slope diff=+1.73)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.