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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.

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Overview

This repository contains materials for a short MATLAB and computational neuroscience course, taught at the University of Pennsylvania during the summers of 2009, 2010, and 2011.

You'll probably want to start by downloding this PDF, which contains the syllabus, course notes, and problem sets.

Lecture slides, code, and other materials mat be found by exploring the rest of the repository.

Using this material

Want to use this material in your course? Feel free! You are welcome to use, modify, redistribute, etc. all of the materials for this course. However, (while we have done our best to produce high quality, accurate, materials) we can make no guarantees that the information or code provided is correct. If you notice an error or have a question, post an issue about it!

Contributing

To add new material to the course, or to modify the existing content, please follow these steps:

  1. Fork this repository
  2. Make your modifications on your fork
  3. Submit a pull request with an informative message describing what you changed

Or, to add an idea or propose a change for someone else to make, create a new issue describing what you're thinking.

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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.

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