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
2885ad1eee
fix(matlab): rate 0.02 grid, batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:37:11 -04:00
caa60509a8
feat(matlab): y-tick labels count/rate, batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:25:55 -04:00
2fd311277c
feat(matlab): x-axis padding, batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:18:57 -04:00
94e09d6647
fix(matlab): tighter y-label offset, batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:12:12 -04:00
8caa0419b3
fix(matlab): halved y-label offset, batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:09:01 -04:00
4504a7aa4c
fix(matlab): horizontal x + padded y label, batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:05:22 -04:00
2fe44978b5
feat(matlab): y-tick-5 + grid plots, batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:58:53 -04:00
2749a7d208
fix(matlab): compact plot layout, batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:53:26 -04:00
samsam2610
b6dc69c315
fix unmerge_d0_5 plot curve
2026-07-24 09:46:32 -04:00
20a9f7d2ea
fix(matlab): vertical x-axis (manual text), batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:23:17 -04:00
f61ebf97b9
fix(matlab): vertical x-axis plots, batch 4
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:07:32 -04:00
fd40b6fb54
analysis(matlab): rate + count outputs, variation batch 5
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 02:32:53 -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
samsam2610