Examine the basic mathematical and computational tools central to the analysis of neural systems in a laboratory setting. Discuss linear algebra, differential equations, filtering, correlation, probability with an emphasis on quantitative methodology and applications to neuroscience. Three lecture hours and one and one-half laboratory hours a week for one semester. Neuroscience 466T and 466M may not both be counted. Prerequisite: Mathematics 408D or 408M, and Neuroscience 340 with a grade of at least C- in each.