The course will present a range of mathematical approaches that play a central role in systems neuroscience, both for model-driven and data-driven investigations. We will take an approach beginning with the mathematical fundamentals and emphasize concepts rather than theorems.
Topics will likely include time series analysis, linear systems theory, point processes and dimension reduction techniques, but can be tuned to the needs of the group. For topics, notes and homework from previous years, please see http://www-users.med.cornell.edu/~jdvicto/mathcourse0809.html.
Prerequisites include familiarity with matrices and basic linear algebra, complex numbers and calculus, preferably multivariate.