Add p-values to plotSeqCorr legend and fix LaTeX rendering#62
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iahncajigas merged 2 commits intomainfrom Mar 14, 2026
Merged
Add p-values to plotSeqCorr legend and fix LaTeX rendering#62iahncajigas merged 2 commits intomainfrom
iahncajigas merged 2 commits intomainfrom
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…labels - Rewrite plotSeqCorr to match MATLAB: plot all models with color cycling, compute ρ and p-value via scipy.stats.pearsonr, show in legend - Add _ensure_mathtext() helper to wrap \lambda labels in $...$ for matplotlib mathtext rendering - Apply _ensure_mathtext to KSPlot legend labels - Update plotResults to call plotSeqCorr with fit_num=None (all models) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…e layout - b0/b1 distributions: N(0,1) matching MATLAB randn (was N(0,0.3) and N(1,0.5)) - Q process noise: std(diff(stimulus)) matching MATLAB (was fixed 0.001) - CI: use z=1.96 with min/max ordering matching MATLAB (was ±2σ) - Figure 1: add CIF panel (3-panel layout matching MATLAB) - Figure 2: black=decoded, blue=actual matching MATLAB color convention - Also fix paper_examples.py b0/b1 distributions for consistency - Regenerate affected docs figures (examples 01, 03, 05) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
λ_PSTH, ρ=0.21 (p=0.17))_ensure_mathtext()helper that wraps\lambdalabels in$...$for proper matplotlib rendering (λ₁ instead of\lambda_1)plotSeqCorr(fit_num=None)to show all models (matching MATLAB)Test plan
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