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

..

__pycache__

analysis(tdcs): GLM hypothesis tests + methods for the reaching study

2026-07-19 22:07:17 -04:00

matlab

analysis(matlab): rate-variant + vertical x-axis (templates, generators, summary)

2026-07-24 02:32:43 -04:00

forouzan_reach_data.csv

analysis(matlab): convert previous (Forouzan) study to our long format

2026-07-22 14:18:47 -04:00

METHODS.md

analysis(tdcs): GLM hypothesis tests + methods for the reaching study

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tdcs_glm.py

analysis(tdcs): GLM hypothesis tests + methods for the reaching study

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tdcs_learning_curves_d0-10.png

analysis(tdcs): GLM hypothesis tests + methods for the reaching study

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tdcs_learning_curves_merged.png

analysis(tdcs): GLM hypothesis tests + methods for the reaching study

2026-07-19 22:07:17 -04:00

tdcs_learning_curves.png

analysis(tdcs): GLM hypothesis tests + methods for the reaching study

2026-07-19 22:07:17 -04:00

tdcs_reach_data.csv

analysis(tdcs): GLM hypothesis tests + methods for the reaching study

2026-07-19 22:07:17 -04:00

writeup.md

docs(writeup): add honest random-slope results + scenario notation

2026-07-22 15:49:17 -04:00