Fritz Sommer, Bruno Olshausen, Jeff Teeters (HWNI, UC Berkeley); Christos Papadimitriou (Simons Institute, UC Berkeley); Ingrid Daubechies (MSRI, Duke University)
This course is for students and researchers with backgrounds in mathematics and computational sciences who are interested in applying their skills toward problems in neuroscience. It will introduce the major open questions of neuroscience and teach state-of–the-art techniques for analyzing and modeling neuroscience data sets. The course is designed for students at the graduate level and researchers with background in a quantitative field such as engineering, mathematics, physics or computer science who may or may not have a specific neuroscience background. The goal of this summer course is to help researchers find new exciting research areas and at the same time to strengthen quantitative expertise in the field of neuroscience. The course is sponsored by the National Science Foundation from a grant supporting activities at the data sharing repository CRCNS.org, the Helen Wills Neuroscience Institute, the Simons Institute for the Theory of Computing, the Computer Community Consortium and the Mathematical Science Research Institute.
For more information or to apply, please visit crcns.org/course.