
Cortical Columns
- Updated April 6, 2026
- Baptistecaille/Research-plugin
Cortical-columns is a research companion that discovers academic papers, performs deep analysis, scans periodically for new work, and runs literature-gap analysis with Obsidian integration. Researchers use it to keep a thesis literature review current and find unexplored gaps.
Key points
- Paper discovery + deep analysis
- Periodic literature scanning
- Gap analysis, Obsidian integration
Cortical Columns by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| Last updated | April 6, 2026 |
|---|---|
| Repository | Baptistecaille/Research-plugin ↗ |
What it does
Discover, deeply analyze, and gap-scan academic papers for a cortical-columns thesis, with Obsidian integration.
README.md
Theoretical AI Research Workspace
This folder is a research workspace for theoretical AI.
It is where we keep notes, experiments, plugin prototypes, and supporting material related to formal reasoning, algorithmic structure, mathematical analysis, and other theory-focused AI work.
What Lives Here
- Research plugins and tooling
- Proof-oriented and math-oriented experiments
- Literature notes and synthesis documents
- Working drafts, evidence, and planning artifacts
Current Projects
plugins/algo-math-structurer: a Claude Cowork plugin for turning Python algorithms into formal mathematical documents with proofs and LaTeX outputplugins/cortical-columns: a Claude Cowork plugin for thesis research on cortical columns and algorithmic representations
Working Style
- Keep the repository focused on research, not production deployment
- Prefer clear structure and reproducible notes
- Use separate folders for distinct research threads
- Keep plugin-specific documentation inside each project folder
Repository Layout
plugins/algo-math-structurer/for the algorithm formalization pluginplugins/cortical-columns/for cortical columns research.sisyphus/for planning, evidence, and internal notes.claude-plugin/for marketplace configuration