analysis(matlab): rate + count outputs, variation batch 4

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Experiments DB Dev
2026-07-24 02:32:53 -04:00
parent 0e16690c8f
commit 1606eb698b
72 changed files with 1869 additions and 891 deletions
@@ -1,5 +1,5 @@
==============================================================================
VARIATION: right_only_d6_10
VARIATION: right_only_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)
@@ -64,5 +64,5 @@ interaction 95% CI: [-2.18, +7.03]
HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=0.90, p=0.3784
(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=0.289, slope diff=+2.42)
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=0.289, slope diff=+2.425)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.