Neuroscience Computational Core

2 credits · Graduate

For first-year Neurosciences graduate students; open to other graduate students as space permits with preference given to Neurosciences students. Introduces students to computational and theoretical methods in neuroscience. Emphasis on what questions are important, and how those questions can be answered with quantitative methods. Topics range from cellular/molecular to cognitive, and emphasizes similarity and differences of methods across neural scales.