About

What this is

RatInABox generates the synthetic training data.

This is a training resource for getting up to speed with RatInABox. Specifically, the learnig modules here are tilted toward the electrophysiology recordings that are done in our lab. This resource was developed and currently maintained by Kyle Shannon.

How it’s maintained

  • Content lives as plain-text Markdown + Jupyter notebooks in the repo, so edits are simple and diffable.
  • Two verification scripts guard correctness: scripts/verify_install.py (checks the RatInABox API surface used throughout) and scripts/verify_solutions.py (executes every worked solution). These are meant to run in CI so in the future the site can’t publish broken code, by our hand ir by updating to a future version of RatInABox.
  • The site is built with Quarto (pixi run -e site build-site).

Credits

Built on RatInABox (Tom M George, Mehul Rastogi, William de Cothi, Claudia Clopath, Kimberly Stachenfeld, Caswell Barry. “RatInABox, a toolkit for modelling locomotion and neuronal activity in continuous environments” (2024), eLife, https://doi.org/10.7554/eLife.85274 .)