- Instructor: William L. Kath
Contact Information: kath@northwestern.edu, x1-8784, Tech M460
Textbook: There is no actual required textbook, but for some of the material we will be following
Theoretical Neuroscience by Peter Dayan and Larry Abbott. Members of the Northwestern community
can access the book on-line at no cost through the MIT Cognet Library. Note this version of the book
consists of pdf files that can be viewed on-screen, but which cannot be printed or searched. We will
be starting with material of Chapter 5, somewhat out of order with respect to the book.
Course Description: The course will cover the basic computational models of neurons - their passive properties, models of ionic conductances, and the effect of a cell's morphology. Next, models of synapses (excitatory and inhibitory) will be considered, and we will discuss simplified models of neurons, e.g., integrate-and-fire models. We will then consider the behavior of networks of neurons, and how these can be approximated with firing rate models. As time permits, we will discuss spike train statistics and information theory. We will conclude with the topic of computational models of plasticity and learning.
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