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Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel mod...

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Converting all code/material to Python would enable a broader set of users to learn from this material. All examples could be converted to Python.

It'd be nice to have Jupyter notebooks to go with each course topic and problem set

Add a tutorial series on Bayesian models-- e.g. a tutorial on probability distributions, another on putting them together to build models, and a third on inference. Possibly using Stan.