Minicourse on computational neuroscience for physicists

Prof. Sebastian Seung
seung@mit.edu
E25-210, x2-1693

This is a series of three lectures intended to introduce physicists to computational neuroscience.

I have given versions of these lectures at the 13th Nordic Symposium on Computer Simulations in Natural Science, and as part of the MIT course 8.515J Biological Physics, taught by Prof. Benedek.

Lectures

• Lecture 1: Biophysics of neurons.

• Lecture 2.  Dynamics of neural networks.

• Lecture 3.  Mechanisms of persistent neural activity.

Suggestions for further reading

• L. R. Squire and E. R. Kandel.  Memory: from mind to molecules.  Scientific American Library, 1999.
• E. R. Kandel, J. H. Schwartz, and T. M. Jessell, eds. Principles of neural science.  Appleton & Lange, 1992.
• B. Hille. Ionic channels of excitable membranes, 2nd ed. Sinauer, 1992.
• D. Johnston and S. Wu.   Foundations of cellular neurophysiology. MIT Press, 1995.
• C. Koch and I. Segev, eds.   Methods in Neuronal Modeling 2nd ed. MIT Press, 1998.
• J. Hertz, A. Krogh, and R. G. Palmer.  Introduction to the Theory of Neural Computation, Addison-Wesley, 1991.