analysis(matlab): rate + count outputs, variation batch 4
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -1,5 +1,5 @@
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==============================================================================
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VARIATION: right_only_d6_10
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VARIATION: right_only_d6_10 [metric: success COUNT]
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==============================================================================
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model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT)
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day = training day within window (0 = first analyzed day)
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@@ -64,5 +64,5 @@ interaction 95% CI: [-2.18, +7.03]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=0.90, p=0.3784
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(Satterthwaite DF ~= residual on this random-intercept model; the random-slope
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model above is the honest learning-rate test -- DF collapses toward the animal count.)
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INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.289, slope diff=+2.42)
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Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.289, slope diff=+2.425)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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