A program of the Office of Undergraduate Research and Scholarships

About the Program

The SURF Program is made up of five different fellowships:

Each fellowship has particular eligibility requirements, and each fellowship has certain obligations that fellows agree to if they receive the award. 

The application deadline for SURF summer 2020 will be February 20, 2020. The application instructions and forms are available under the apply tabs of this website. To best understand the program and prepare a quality application we encourage you to:

  • attend an info session before applying. See "Resources" Tab for info sessions specifics or the OURS calendar
  • attend a workshop on how to write a research proposal. See OURS calendar for time and place.
  • You are also encouraged to meet with the SURF advisors to discuss your project and application. Starting in January, sign up for Brittany (STEM) or TBD (Social Science / Humanities) via the advisor information under the "Resources" tab. 

The SURF L&S fellowship allows UC Berkeley undergraduates in the College of Letters... more

Meet Our SURF & Rose Hills Fellows

Estimating Integrated Information from Non-Gaussian Multivariate Time Series

Helen Kang : MCB-Neurobiology and Mathematics

Information theory has been key to our understanding of the brain, by elucidating mechanisms of neural coding in the brain’s sensory periphery. Recent mathematical work has derived a new measure called integrated information, which can quantify how much information emerges at the level of an entire network. Integrated information has already been used to study how the structure of brain networks might underpin large-scale information flow and may help explain mechanisms of information processing in both healthy and pathological brain states. Currently, integrated information can only be calculated for neural time-series data if those data are multivariate Gaussian. This limits the application of integrated information to most types of neural data, which are typically non-Gaussian. I... Read More