Local Workshops

All CCB trainees are required to participate in special workshops on the conduct of research. These workshops, offered by the UCLA-MSTP and Neuroscience Programs, are educational workshops on research integrity and misconduct for faculty and students throughout the medical school. Each of these meets once a year and includes members of core faculty in the CCB training program.

Institute for Pure and Applied Mathematics (IPAM)

This two-week intensive workshop will focus on mathematical techniques that can be applied to brain images to measure, map, and model brain structure and function. Experts who are pioneers in medical image analysis will describe the mathematics used in brain imaging today. Topics will range from modeling anatomical structures in MRI scans and mapping connectivity in diffusion tensor images to statistical analysis of functional brain images from fMRI, EEG, and MEG. Current applications in radiology and neuroscience will be highlighted, as well as new directions in the mathematics of structural and functional image analysis. Mathematical topics covered will include computational anatomy, statistical analysis of functional images and time-series, ICA and random field theory, metric pattern theory, differential geometry, and computer vision approaches used in computational anatomy and functional imaging. Software implementing a wide range of algorithms will also be demonstrated, and tutorial notes will be provided. Talks will be of interest to newcomers and experts in the field. More

Aneurysm and Flow Simulation Workshop – February 17, 2005

The purpose of this workshop is to discuss the significance of aneurysm modeling and simulation, identify current limitations and challenges, and discuss strategies for obtaining valid and useful simulations of blood flow in cerebrovascular aneurysms. The format will be short presentations of different viewpoints by leading experts, followed by longer group discussions that will provide an opportunity for participants to exchange ideas and develop new strategies toward developing accurate and relevant models and simulations of cerebrovascular aneurysms. More