Add make_matched_effort.m: pick the current-study day cutoff whose per-animal
cumulative attempts best match the previous (_f) study's full-span total
(~405 attempts/animal -> current days 0-3), then fit the paper LME on both.
Two variation folders (data.csv + analyze.m + result.txt):
variations/prev_f_full/ b2_f vs a2_f, days 0-9 (24 rats)
variations/matched_current_d0_3/ Box-B2 vs Box-A2, 0-3 (6 rats)
At matched cumulative effort both show a significant positive stim x day
interaction (prev p=0.008 +0.56/day; current-0-3 p=0.004 +10.2/day) -- the
tDCS acceleration replicates at equal practice, though the count slopes are
not directly comparable across datasets given differing attempts/session.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add make_variations.m + variation_analyze.m generating 20 self-contained
subfolders under analysis/matlab/variations/, one per grouping x day-window,
each with exactly three files: data.csv (curated subset), analyze.m (a simple
standalone script fitting behavior ~ stim + day + stim:day + (1|rat) on the
success COUNT), and result.txt (its output). Plus variations/SUMMARY.csv.
Groupings (stim=1 / stim=0, other groups dropped):
unmerge B2 vs A2
right_only B2+Right vs A2 (Box-A dropped)
naive_a2 B2 vs A2+Naive (Right, Box-A dropped)
naive_boxa B2 vs A2+Naive+Box-A (Right dropped)
Windows: 0-10, 0-13, 0-5, 6-10, 6-13. All 20 have equal day coverage.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Experiments DB Dev
samsam2610