This repository contains materials for a course I am developing to teach computational methods in neuroscience. The topics we will cover include:
- how to represent and store observations of neurons
- descriptive statistics of neural spike trains
- coding and decoding models
- dynamical systems models of neurons and circuits
The reading assignments and exercises make extensive use of Python, numpy, scipy, and matplotlib, collectively known as a scipy stack. Installation instructions here
To work on a problem set, run ipython notebook
from the assignments
subdirectory. A new tab should open in your browser that lets you open and work on a notebook.