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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 models, basic neural networks, and neural decoding.

License: MIT License

MATLAB 42.21% TeX 57.74% Shell 0.04%
computational-neuroscience course-materials data-analysis matlab modeling neuron problem-set simulation

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computational-neuroscience's Issues

Jupyter notebooks

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

Convert to Python

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.

Bayesian models

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.

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