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Add Dynamical Systems path to onboarding.md #75

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7 changes: 6 additions & 1 deletion docs/onboarding.md
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Expand Up @@ -62,7 +62,7 @@ Discuss with Dan your interests and potential first projects. In addition to any
- If you don't have a preferred IDE, Get VS Code and do the VS code tutorial
- Follow either the ANN path or the data analysis path below

**ANNs path**
**ANNs path**:

- Your first project: PyTorch Tutorials (https://docs.pytorch.org/tutorials/, https://docs.pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html)
- [Set up a project repository](https://levensteinlab.github.io/Lab-Handbook/Policies/code_software/) in which you'll do the tutorial - THIS IS THE MOST IMPORTANT STEP. Setting up a project repository, with its own environment and specified dependencies, will save you infinite headaches in the future. Get in the practice now.
Expand All @@ -76,4 +76,9 @@ Discuss with Dan your interests and potential first projects. In addition to any
**Data analysis path**:

- Your first project: discuss with Dan the data you'd like to work with and choose your own adventure ;)... this path is still under construction. Consider working with [pynapple](https://pynapple.org/index.html), which is a good package for working with neural timeseries data and has some tutorials.

**Dynamical systems path**:

- Consider borrowing [Dynamical Systems in Neuroscience](https://direct.mit.edu/books/monograph/2589/Dynamical-Systems-in-NeuroscienceThe-Geometry-of) or [Nonlinear Dynamics and Chaos](https://www.stevenstrogatz.com/books/nonlinear-dynamics-and-chaos-with-applications-to-physics-biology-chemistry-and-engineering) from the lab library
- Pick (with Dan) a dynamical systems model related to your project, and replicate its phase planes and bifurcation analysis using [phaseportrait](https://github.com/phaseportrait/phaseportrait) and [PyCoBi](https://pycobi.readthedocs.io/en/latest/)