NEUR 4030/6030 Computational Neuroscience

Promotional poster

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Syllabus

Here is the syllabus for this class. As this is the first time this class has been taught, details may vary during the semester. It is intended only as a guide.

Files for class

• Python worksheet
• Week 1 python files
• Exemplary past student project submission (from a Numerical Analysis course that I taught) for your reference. It's probably longer than you'd need to make.

Preparation

You will learn a mixture of concepts and theories from neuroscience alongside techniques from mathematics and computer science. To do this, we will use GSU's Virtual Computing Laboratory and Python with PyDSTool in and out of class. This requires that you have a laptop with wireless internet, a web browser, and a Remote Desktop system installed. For details about the remote desktop on your type of computer, see these notes. You will also want to use your Student Lockerbox to store your files outside of the virtual sessions.

Some helpful wikipedia pages:

• Mathematical model
• Computational neuroscience
• Scientific model
• Mathematical and theoretical biology
• Modeling biological systems
• Biological neuron models

Links

• Quick python tutorial
• Hugh Wilson's book: Spikes, Decisions, and Actions
• Intro chapter from Izhikevich's book
• Chris Fall's book on Computational Cell Biology (now free online)