2015-16: CCNS: Opening Workshop: August 17-21, 2015


This workshop took place at the Hamner Conference Center, 15 T.W. Alexander Dr., Research Triangle Park, NC


The Opening Workshop for this program was held on Monday- Friday, August 17 – 21, 2015. The Workshop provided an overview of the core topics relevant to the CCNS program, which is devoted to the development of methodological, theoretical, and computational treatments of high-dimensional mathematical and statistical models with applications in computational neuroscience. For a more detailed description of the topics to be covered, see the CCNS homepage.

On Monday, August 17 there were five overview lectures by leading researchers in computational neuroscience. From Tuesday to Thursday, invited speakers addressed additional issues associated with spike train data analysis, Big data and research directions in the NIH BRAIN initiative, imaging genetics, and neuroimaging data analysis. A poster session and reception took place on Tuesday, August 18.

On Thursday August 20, Working Groups were introduced, centering on problems and research directions identified in the Workshop. These groups will meet weekly over the course of the program, with the initial meetings held on Friday August 21.

CCNS Working Groups

Clinical Brain Imaging
Working Group Leader: Ciprian Crainiceanu, Johns Hopkins University

Computational Approaches to Large-scale Inverse Problems with Applications to Neuroscience
Working Group Leader: Arvind Saibaba, North Carolina State University

Understanding Neuromechanical Processes in Locomotion with Physical Modeling and Network Analysis
Working Group Leaders: Laura Miller, UNC and Katie Newhall, UNC

Mathematical and Statistical Approaches to Modeling Brain Networks: circuits and systems
Working Group Leaders: Rob Kass, Carnegie Mellon University; Uri Eden, Boston U.; Mark Kramer, Boston U.

Theory of neural networks: structure and dynamics
Working Group Leaders: Carina Curto, PSU; Brent Doiron, U. of Pittsburgh; Chris Hillar, MSRI

Acquisition, Reconstruction, and Processing of MRI Data
Working Group Leader: Daniel Rowe, Marquette University

Imaging Genetics
Working Group Leader: Hongtu Zhu, UNC

Structural Connectivity
Working Group Leaders: David Dunson, Duke University; Hongtu Zhu, UNC

Functional Imaging Methods and Functional Connectivity
Working Group Leaders: Hernando Ombao, UCI; John Aston, University of Cambridge

Big Data Integration in Neuroimaging
Working Group Leaders: Martin Lindquist and Timothy Johnson

Analysis of Optical Imaging Data
Working Group Leader: Mark Reimers

Login: https://sakai.duke.edu/sakai-login-tool/container | (Instructions to access a Working Group)

Additional information on each group can be found at Working Groups.

Questions: email CCNS@samsi.info

Schedule and Supporting Media

Participant List
Speakers Titles Abstracts

Monday, August 17, 2015
Hamner Conference Center

Time Description Speaker Slides Videos
8:00-8:30 a.m. Registration
8:30-8:45 Introduction and Welcome Richard Smith, SAMSI
8:45-10:00 A Statistical Perspective on Spike Train Analysis, and Possible Connections with Modeling Rob Kass, Carnegie Mellon University    
10:00-10:10 Break
10:10-11:25 Principles of Functional Neuroimaging Martin Lindquist, Johns Hopkins University    
11:25-12:40 General Anesthesia: A Case Study in Combining Neuroscience, Statistics and Modeling Emery Brown, Harvard/MIT  
12:40-1:40 Lunch (Galleria)
1:40-2:00 Working Groups at SAMSI Thomas Witelski, SAMSI
2:00-3:15 Modeling Neural Circuits Kenneth Miller, Columbia University    
3:15-3:25 Break
3:25-4:40 Diffusion MRI Tractography and Connectomics: problems and challenges Maxime Descoteaux, Universite de Sherbrooke    
4:40-5:00 Discussion

Tuesday, August 18, 2015
Hamner Conference Center

Time Description Speaker Slides Videos
8:00-8:30 a.m. Registration and Announcements
8:30 Tools for Mapping Brain Computations Edward Boyden, MIT    
9:30 Brain-Scale Simulations at Cellular and Synaptic Resolution: Necessity and Feasibility Markus Diesmann, Juelich Research Centre    
10:30 Break
11:00 Estimating Neural Dynamics using Point Process Models Uri Eden, Boston University    
12:00 Lunch (Galleria)
1:00 The neural mechanics of attention-mediated suppression of noise correlations Brent Doiron, University of Pittsburgh    
2:00 Introduction to the Theoretical Neural Networks Working Group
2:20 Understanding the Functions of Oscillatory LFP Friedrich Sommer, University of California-Berkeley    
3:20 Break
3:40 Panel Discussion: Rob Kass, Carnegie Mellon University (moderator)
Sonja Gruen, Juelich Research Centre
Eric Shea-Brown, University of Washington
Matthew Harrison, Brown University
Brent Doiron, University of Pittsburgh
5:00-7:00 Poster Session and Reception

Wednesday, August 19, 2015
Hamner Conference Center

Time Description Speaker Slides Videos
8:15 a.m. Announcements
8:30 Biophysically Principled Computational Modeling of Human MEG/EEG Signals to Link Mechanism to Function Stephanie Jones, Brown University    
9:30 The Inevitability of Probability: Near-Optimal Probabilistic Inference in Generic Neural Networks Trained with Non-Probabilistic Feedback Wei Ji Ma, New York University    
10:30 Break
11:00-11:20 Introduction to the Inverse Problems Working Group
11:20 The BRAIN Initiative, NIH, and Support for Computational Neuroscience Greg Farber, NIH/NIMH    
12:20 Lunch (Galleria)
12:20 Lunch Panel Discussion (Optional – Dogwood Room)
Growing Up in Science
Wei Ji Ma, New York University
1:20 An Introduction to Image Reconstruction,Processing, and their Effects in FMRI Daniel Rowe, Marquette University    
2:20 Multimodal Neuroimaging and Behavioral Phenotyping in a Genomic Neurodevelopmental Context Ruben Gur, University of Pennsylvania    
3:20 Break
3:50 Integration of Neuroimaging and Behavioral Phenotypes in Informative Populations: the clinical neuroscience perspective Raquel Gur, University of Pennsylvania    

Thursday, August 20, 2015
Hamner Conference Center

Time Description Speaker Slides Videos
8:15-8:30 a.m. Announcements
8:30 From Pixels to Brain Networks: Modeling Brain Connectivity and Its Changes in Disease Polina Golland, MIT    
9:30 Neuroinformatics and the Complexity of the Brain at the 1mm Morphome Scale Michael Miller, Johns Hopkins University    
10:30 Break
11:00 New fMRI Observations at an Individual Level Using Novel Acquisition, Paradigm, and Processing Approaches Peter Bandettini, NIMH    
12:00 Lunch (Galleria)
1:00 A Common Model of Representational Spaces in Human Cortex James Haxby, Dartmouth    
2:00 Break
2:30 Discussion: Working Groups

Friday, August 21, 2015
Hamner Conference Center

Time Description Speaker Slides Videos
8:45-9:00 a.m. Announcements
9:00 Two Wildly Different Approaches to Brain Connectivity in fMRI Thomas Nichols, Warwick University    
10:00 Initial Working Group Meetings
12:00 Adjourn and Lunch (Galleria)