Commit Graph

6 Commits

Author SHA1 Message Date
Experiments DB Dev 8fac19e42f feat(matlab): y-tick-5 + grid plots, batch 1
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 09:58:51 -04:00
Experiments DB Dev b3ebdf6f02 fix(matlab): compact plot layout, batch 1
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 09:53:25 -04:00
Experiments DB Dev 0d57846b00 fix(matlab): vertical x-axis (manual text), batch 1
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 09:23:16 -04:00
Experiments DB Dev a4527fead3 fix(matlab): vertical x-axis plots, batch 1
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 09:07:31 -04:00
Experiments DB Dev 6ba21a1a35 analysis(matlab): rate + count outputs, variation batch 2
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:52 -04:00
Experiments DB Dev a2a812acc8 analysis(matlab): add paper-style learning-curve plot to every variation
Add variation_plot.m + make_variation_plot.m, dropping plotcurve.m +
learning_curve.png into all 28 variation folders. Each figure plots mean +/-
SEM successful reaches per training day for the anodal/treatment group (red)
vs control (blue), in the style of the paper ("Lines indicate mean (and SEM)
across animals in the anodal (red) and control (blue) groups"). Per-group N is
read from the data and shown in the legend; training day is 1-indexed (our day
0 = paper Day 1). Headless via exportgraphics. prev_f_full reproduces the
paper's own figure (anodal N=12 vs control N=12).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 01:28:44 -04:00