d2213546b6
fix(matlab): rate 0.02 grid, batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:37:10 -04:00
bff2034da4
feat(matlab): y-tick labels count/rate, batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:25:55 -04:00
1a2071e6e2
feat(matlab): x-axis padding, batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:18:57 -04:00
ed8263525c
fix(matlab): tighter y-label offset, batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:12:11 -04:00
b04d692a3b
fix(matlab): halved y-label offset, batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:09:00 -04:00
28a7341100
fix(matlab): horizontal x + padded y label, batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 10:05:21 -04:00
989cf346f9
feat(matlab): y-tick-5 + grid plots, batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:58:52 -04:00
04fffcd090
fix(matlab): compact plot layout, batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:53:25 -04:00
b8a27db8cd
fix(matlab): vertical x-axis (manual text), batch 2
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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com >
2026-07-24 09:23:16 -04:00
bcadc54409
fix(matlab): vertical x-axis plots, batch 2
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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
