Summer 2015: CCNS: Computational Neuroscience Summer School: July 27-31, 2015
Workshop Information
July 27, 2015 - July 31, 2015
Registration for this workshop is currently closed.
Schedule
Participant List
Speaker Abstracts and Titles
This summer school was held at The Solution Center, Durham, NC.
For July 27-31, 2015, the following instructors taught 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 Müller, 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 instructors gave an in-depth overview of each topic followed by problem/discussion sessions. Software packages were 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.
Directorate Liaison: Thomas Witelski
If you need further information please send an email to [email protected]
Schedule
Monday, July 27, 2015
The Solution Center - Wilmington Room
| 7:45-8:00 a.m. | Shuttle to The Solution Center (Meet in the Hotel Lobby) |
| 8:00-8:15 | Registration |
| 8:15-8:20 | Welcome and Introduction Tom Witelski , Duke University and Hongtu Zhu, UNC-Chapel Hill |
| 8:20-9:20 | Neural Spike Train Analysis Uri Eden, Boston University Neural Spike Train Analysis 1: Introduction to Point Processes Spike Train Analysis Using Generalized Linear Models Modeling Your Spiking Data with Generalized Linear Models EXAMPLES |
| 9:20-9:40 | Break |
| 9:40-10:40 | Neural Spike Train Analysis |
| 10:40-11:00 | Break |
| 11:00-12:00 | Neural Spike Train Analysis |
| 12:00-1:00 | Lunch - Currituck and Wilmington Rooms |
| 1:00-2:00 | Compressed Sensing Justin Romberg, Georgia Institute of Technology Mathematics and Applications of Compressed Sensing The Basics of Sparse Representations Mathematical Fundamentals of Compressive Sensing: Sparse Embeddings and Random Matrices Mathematical Fundamentals of Compressive Sensing: Sparse Recovery using L_1 Minimization Dynamic Reconstruction: Least-squares and L_1 |
| 2:00-2:20 | Break |
| 2:20-3:20 | Compressed Sensing |
| 3:20-3:40 | Break |
| 3:40-4:40 | Compressed Sensing |
| 4:45-5:00 | Shuttle to Hotel (Dinner on your Own) |
Tuesday, July 28, 2015
The Solution Center - Wilmington Room
| 7:45-8:00 a.m. | Shuttle to The Solution Center (Meet in the Hotel Lobby) |
| 8:00-8:20 | Registration |
| 8:20-9:20 | Neural Spike Train Analysis Mark Kramer, Boston University An introduction to biophysical models (Part 1) An introduction to biophysical models (Part 2) An introduction to biophysical models (Part 3) EXAMPLES |
| 9:02-9:40 | Break |
| 9:40-10:40 | Neural Spike Train Analysis |
| 10:40-11:00 | Break |
| 11:00-12:00 | Problem/Discussion Sessions |
| 12:00-1:00 | Lunch - Currituck and Wilmington Rooms |
| 1:00-2:00 | Compressed Sensing Justin Romberg, Georgia Institute of Technology Mathematical Fundamentals of Compressive Sensing: Low Rank Matrix Recovery Optimization Basics Discussion Questions |
| 2:00-2:20 | Break |
| 2:20-3:20 | Compressed Sensing |
| 3:20-3:40 | Break |
| 3:40-4:40 | Problem/Discussion Sessions |
| 4:45-5:00 | Shuttle to Hotel (Dinner on your Own) |
Wednesday, July 29, 2015
The Solution Center - Wilmington Room
| 7:45-8:00 a.m. | Shuttle to The Solution Center (Meet in the Hotel Lobby) |
| 8:00-8:20 | Registration |
| 8:20-9:20 | Functional Data Analysis Jane-Ling Wang, University of California-Davis Functional Data Analysis for Medical Imaging Data |
| 9:20-9:40 | Break |
| 9:40-10:40 | Functional Data Analysis |
| 10:40-11:00 | Break |
| 11:00-12:00 | Functional Data Analysis |
| 12:00-1:00 | Lunch - Currituck and Wilmington Rooms |
| 1:00-2:00 | Functional Data Analysis Hans-Georg Müller, University of California-Davis Lectures on Functional Data Analysis |
| 2:00-2:20 | Break |
| 2:20-3:20 | Functional Data Analysis |
| 3:20-3:40 | Break |
| 3:40-4:40 | Problem/Discussion Sessions |
| 4:45-5:00 | Shuttle to Hotel (Dinner on your Own) |
Thursday, July 30, 2015
The Solution Center - Wilmington Room
| 7:45-8:00 a.m. | Shuttle to The Solution Center (Meet in the Hotel Lobby) |
| 8:00-8:20 | Registration |
| 8:20-9:20 | Big Data Integration and Analysis Jeffrey S. Morris, MD Anderson Cancer Center Functional Regression Methods for Integration of Big Biomedical Imaging Data - Part 1 |
| 9:20-9:40 | Break |
| 9:40-10:40 | Big Data Integration and Analysis Functional Regression Methods for Integration of Big Biomedical Imaging Data - Part 2 |
| 10:40-11:00 | Break |
| 11:00-12:00 | Big Data Integration and Analysis Yu-Ping Wang, Tulane University Integration of brain imaging, genomics, networks and biological knowledge information |
| 12:00-1:00 | Lunch – Currituck and Wilmington Rooms |
| 1:00-2:00 | Shape Analysis and Diffeomorphisms Laurent Younes, Johns Hopkins University |
| 2:00-2:20 | Break |
| 2:20-3:20 | Shape Analysis and Diffeomorphisms |
| 3:20-3:40 | Break |
| 3:40-4:40 | Shape Analysis and Diffeomorphisms |
| 4:45-5:00 | Shuttle to Hotel (Dinner on your Own) |
Friday, July 31, 2015
The Solution Center - Wilmington Room
| 7:45-8:00 a.m. | Shuttle to The Solution Center (Meet in the Hotel Lobby) |
| 8:00-8:20 | Registration |
| 8:20-9:20 | Shape Analysis and Diffeomorphisms (Continued from Thursday) |
| 9:20-9:40 | Break |
| 9:40-10:40 | Shape Analysis and Diffeomorphisms |
| 10:40-11:00 | Break |
| 11:00-12:00 | Problem/Discussion Sessions |
| 12:00-1:00 | Lunch – Currituck and Wilmington Rooms |
| 1:00-2:00 | Big Data Integration and Analysis Yu-Ping Wang, Tulane University |
| 2:00-2:20 | Break |
| 2:20-3:20 | Big Data Integration and Analysis Hongtu Zhu, University of North Carolina Big Data Integration in Biomedical Studies Big Data Integration examples Software for examples |
| 3:20-3:40 | Break |
| 3:40-4:40 | Big Data Integration and Analysis |
| 4:40 | Adjourn |
| 4:45-5:00 | Shuttle to RDU Airport or Hotel (Dinner on your Own) |