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2009 NITP Summer School Schedule

All talks will take place in the Hacienda Room at the UCLA Faculty Center, which located at the corner of Charles Young Drive and Westholme Drive on the UCLA Campus; see here for directions.  The afternoon lab sessions will take place in room A258 in Franz Hall, which is just across the street from the Faculty Center.

Monday, July 20

08:30 Intro & overview (Russ Poldrack & Mark Cohen)
09:30 MRI acquisition: basics (Mark Cohen)
11:00 Ethical issues in cognitive neuroscience (Russ Poldrack)
12:00 lunch
13:15 MRI acquisition: advanced (Mark Cohen)
15:00 Laboratory: Neuroanatomy (Susan Bookheimer)

Tuesday July 21

08:30 Spikes and BOLD: Can they get along? (Dario Ringach, UCLA)
09:30 Hemodynamics and fMRI signals (Rick Buxton, UCSD)
11:00 Neural basis of imaging signals (Rick Buxton, UCSD)
12:00 lunch
13:15 Basic experimental design (Susan Bookheimer)
14:30 Advanced experimental design (Russ Poldrack)
15:30 Lab: Introduction to Mac and FSL

 

Wednesday July 22

08:30 Preprocessing: Image registration and motion correction (Russ Poldrack)
09:30 Preprocessing: EPI unwarping, intra/intersubject registration (Russ Poldrack)
11:00 Statistics I (Jeanette Mumford, UCLA)
12:00 lunch
13:15 Statistics II (Jeanette Mumford, UCLA)
14:15 Lab: Statistics by hand in MATLAB
15:30 Lab: FSL Preprocessing

Thursday, July 23

08:30 First-level fMRI modeling (Russ Poldrack & Jeanette Mumford, UCLA)
09:30 First-level modeling, continued (Russ Poldrack & Jeanette Mumford, UCLA)
11:00 Group fMRI modeling (Jeanette Mumford, UCLA)
12:00 lunch
13:15 EEG/MEG (Charan Ranganath, UC Davis)
14:15 Lab: First-level statistical analysis

Friday July 24

08:30 Multiple testing problems (Jeanette Mumford, UCLA)
09:30 Data quality control  (Mark Cohen)
11:00 Q&A session
12:00 lunch
13:15 Software package comparisons (Russ Poldrack)
14:15 Lab: Group modeling and Multiple testing

Saturday July 25

all day EEG lab, or MRI physics lab

Monday July 27

08:30 Advanced fMRI modeling: percent change and power analysis (Jeanette Mumford)
09:30 Discussion: Creating fMRI models (Jeanette Mumford)
11:00 fMRI Design Optimization (Tom Liu, UCSD)
12:00 lunch
13:15 Lab: working with datasets, and power analysis

Tuesday July 28

08:30 Improving reliability (Gary Glover, Stanford)
09:30 Reporting fMRI data (Russ Poldrack)
11:00 Connectivity analysis (Russ Poldrack)
12:00 lunch
13:15 Computational anatomy (David Shattuck, UCLA)
14:15 Diffusion tensor imaging (Nathan Hageman, UCLA)
15:30 Lab: working with datasets

Wednesday July 29

08:30 Network analysis (Steve Petersen, Washington University)
09:30 Dynamic causal modeling (Marta Garrido, UCLA)
11:00 ICA (Vince Calhoun, University of New Mexico)
12:00  lunch
13:15 Graphical causal modeling (Clark Glymour, CMU)
14:15 Lab: Connectivity exercises
18:30 Group Dinner (Napa Valley Grill)

Thursday July 30

08:30 Pattern classification (Steve Hanson, Rutgers)
11:00 Pattern-information and representational similarity analysis (Niko Kriegeskorte, NIMH)
12:00 lunch
13:15 Avoiding statistical circularities in brain-activity analysis (Niko Kriegeskorte, NIMH)
14:15 Lab: working with datasets

Friday July 31

08:30 Psychophysics for fMRI (Don Kalar, UCLA)
09:30 Setting up an imaging lab (Mark Cohen)
11:00 Imaging difficult populations (Susan Bookheimer)
12:00 lunch
13:15 Q&A session
15:30 Presentation of results from data analysis projects
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