Computational Neuroscience Summer School

This summer school will be held at SAMSI in Research Triangle Park, NC
July 27-31, 2015
The registration deadline is Monday, June 1, 2015

For July 27-31, 2015, the following instructors have agreed to teach courses on five major research topics in computational neuroscience:

  • Neural Spike Train Analysis
    Mark A. Kramer, Boston University
    Uri Eden, Boston University
  • Compressed Sensing for Signal Processing
    Justin Romberg, Georgia Tech
  • Functional Data Analysis for Medical Imaging Data
    Hans-Georg Muller, University of California, Davis
    Jane-Ling Wang, University of California, Davis
  • Big-biomedical Data Integration and Analysis
    Jeffrey S. Morris, MD Anderson Cancer Center, University of Texas
    Hongtu Zhu, University of North Carolina-Chapel Hill
    Yu-Ping Wang, Tulane University
  • Shape Analysis and Diffeomorphisms for Medical Imaging Data
    Laurent Younes, Johns Hopkins University

The tentative schedule is:

  • July 27: Neural Spike Train Analysis and Compressed Sensing
  • July 28: Neural Spike Train Analysis and Compressed Sensing
  • July 29: Functional Data Analysis
  • July 30: Big Data Integration and Analysis and Shape Analysis and Diffeomorphisms
  • July 31: Shape Analysis and Diffeomorphisms and Big Data Integration and Analysis

The instructors will give an in-depth overview of each topic followed by problem/discussion sessions. Software packages will be introduced to students with datasets to carry out some simple data analysis.

Potential Students
This summer school is targeted for graduate students, postdocs, and junior faculty from neuroscience, biomedical engineering, radiology, statistics, and applied mathematics. We may consider a limited number of applications from senior faculty.

If you need further information please send an email to