Commit Graph

4 Commits

Author SHA1 Message Date
Experiments DB Dev 8f8fc98d6a fix(matlab): actually make x-axis labels vertical (manual rotated text)
exportgraphics on headless invisible figures ignores XTickLabelRotation/
xtickangle, so the labels stayed horizontal. Draw the tick labels as rotated
text objects (Rotation 90) instead, add bottom margin, and drop the 'training
day' axis label below them. Regenerated all learning-curve figures.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 09:23:16 -04:00
Experiments DB Dev cd24de173d fix(matlab): make learning-curve x-axis labels vertical
xtickangle(90) did not apply in headless export; set XTickLabelRotation=90
directly and drawnow before exportgraphics. Regenerated all learning_curve
.png / learning_curve_rate.png.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 09:07:31 -04:00
Experiments DB Dev 1009f263e8 analysis(matlab): rate-variant + vertical x-axis (templates, generators, summary)
Refactor variation_{analyze,power,logpower,plot}.m to run both count and rate
metrics; plot x-axis labels vertical (xtickangle 90). SUMMARY.csv gains
interaction_p_rate / interaction_p_rs_rate.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:43 -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