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New Directions in
Statistical Learning for Meaningful and Reproducible fMRI Analysis

NIPS 08 workshops, December 13, Whistler, Canada

Tentative Schedule

Time Title Speaker
7:30-8:20 Tutorials: Statistical Learning for fMRI -
Current and Future Directions
Francisco Pereira
8:20-9:00 Invited Talk: Predictive Performance and Brain Map Reproducibility Lars Kai Hansen
9:00-9:10 Coffee break
9:10-9:30 Modeling Trial Based Neuroimaging Data
Slides (ppt)
Morten Morup, Kristoffer Hougaard Madsen, Lars Kai Hansen
9:30-9:50 Increasing Robustness of Sparse Regression with the Elastic Net
Slides (ppt)
Melissa K. Carroll, Guillermo Cecchi, Irina Rish, Rahul Garg, A. Ravi Rao
9:50-10:10 Selecting and Identifying Regions of Interest using Groupwise Regularization
Slides (pdf)
Marcel van Gerven, Atusko Takashima, Tom Heskes
10:10-10:30 Panel discussion: Variability and Robustness TBD
Time Title Speaker
3:30-4:10 Invited talk: Analysis of Inter-Subject fMRI Data: Finding Adapted Spatial Representations for Group Inference (pdf) Bertrand Thirion
4:10-4:30 Functional Holography (FH) Analysis Applied to fMRI Data Yael Jacob, Amir Rapson, Michal Kafri, Itay Baruchi, Talma Hendler, Eshel Ben-Jacob
4:30-4:50 Spatiotemporal Compression for fMRI Classification with K-Means
Slides (pdf)
Vicente L. Malave
4:50-5:00 Coffee break
5:00-5:20 Panel discussion: Data representations TBD
5:20-6:20 General group discussion All
6:20-6:30 Closing remarks Organizer