31b4d87449
refactor(matlab): simplify y-tick labels with yticks/yticklabels
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Replace set(gca,'YTick'/'YTickLabel') + for-loop with yticks()/yticklabels()
and vectorized label-blanking (string array). Identical output (count: tick 5
label 10; rate: tick 0.02 label 0.1, grid every 0.02); PNGs unchanged.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:49:49 -04:00
819e8d73ce
fix(matlab): rate 0.02 grid, batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:37:10 -04:00
a94ee28908
feat(matlab): y-tick labels count/rate, batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:25:54 -04:00
af12ba1652
feat(matlab): x-axis padding, batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:18:56 -04:00
2e9ebd2fde
fix(matlab): tighter y-label offset, batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:12:11 -04:00
c9fcd5e261
fix(matlab): halved y-label offset, batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:08:59 -04:00
fa16b6116f
fix(matlab): horizontal x + padded y label, batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:05:21 -04:00
8fac19e42f
feat(matlab): y-tick-5 + grid plots, batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:58:51 -04:00
b3ebdf6f02
fix(matlab): compact plot layout, batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:53:25 -04:00
0d57846b00
fix(matlab): vertical x-axis (manual text), batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:23:16 -04:00
a4527fead3
fix(matlab): vertical x-axis plots, batch 1
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:07:31 -04:00
6ba21a1a35
analysis(matlab): rate + count outputs, variation batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 02:32:52 -04:00
a2a812acc8
analysis(matlab): add paper-style learning-curve plot to every variation
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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
Experiments DB Dev