1. Introduction    15 min
   Sebastian White, The Rockefeller University

2. Functional Brain Networks in the Early Stages of Alzheimer Disease    40 min
   Francisco del Pozo, Director, Center of Biomedical Technology, Madrid

3. Inverse Problems in MEG, EEG, and Multi-Electrode Recordings    30 min
   Leslie Greengard, Simons Center of Data Analysis and Courant Institute, NYU

4.Comments on INCF and HBP Strategy to curate, organize, access and analyse data for modelling    25 min
   Sean Hill, Scientific Director, International NeuroInformatics Coordinating Facility and Human Brain Project, EPFL, Lausanne

5.Lessons from Large Particle Physics Projects    25 min
   Tony Liss, ATLAS experiment and Dean of Science, The City College of New York

6. Making Neuroscience Computable    30 min
   Matthew Day, Data Repository, Wolfram Research

Lunch 12:45 pm -2:00 pm Abby Aldrich Dining Room

Neuroscience Series Lecture 2 pm -3 pm Carson Family Auditorium (B-level of CRC)

The Human Brain Project: An Overview.   
   Sean Hill, Human Brain Project, EPFL, Lausanne

Introduced by Torsten Wiesel, The Rockefeller University

Abstract
Understanding the human brain is one of the greatest scientific challenges of our time. Such an understanding will lead to fundamentally new computing technologies, transform the diagnosis and treatment of brain diseases, and provide profound insights into our humanity. The goal of the Human Brain Project (HBP) is to pull together all our existing knowledge about the human brain and to reconstruct the brain, piece by piece, in supercomputer-based models and simulations. The models offer the prospect of a new understanding of the human brain and its diseases and of completely new computing and robotic technologies. The HBP infrastructure will consist of a tightly linked network of six ICT platforms, which will operate as a resource both for core HBP research and for external projects, chosen by competitive call. The HBP will drive innovation in ICT, creating new technologies for interactive supercomputing, visualization and big data analytics; federated analysis of globally distributed data; simulation of the brain and other complex systems; objective classification of disease; scalable and configurable neuromorphic computing systems, based on the brain's principles of computation and cognition and its architectures.

Meeting resumes at 3.30 pm in Room 206

Afternoon Session 3.30 pm-5.00 pm

We have set aside an 1-1/2 hr. session for informal discussion at the end of the day. This could present an opportunity to form collaborative activities.