 
2006 Competition Results
Top 3 Winners
1. Emanuele Olivetti, Diego Sona, Sriharsha Veeramachaneni
Gaussian process regression and recurrent neural networks for fMRI image classification
ITC-IRST; Italy
Summary Page| Methods Description | Score Sheet | Poster | Slides
$10,000 First Place (US Dollars)
2. Denis Chigirev, Greg Stephens and The Princeton EBC team
Predicting Base Features with Supervoxels
Princeton University; United States of America
Summary Page | Methods Description | Score Sheet |Slides
$5,000 Second Place (US Dollars)
3. Alexis Battle, Gal Chechik, Daphne Koller
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks
Stanford University; United States of America
Summary Page | Methods Description | Score Sheet | Slides
$2,000 Third Place (US Dollars)
Honorable Mentions
- Stephen M. LaConte
Brain Reading with Selective Training Data, Transduction, and Behavior Based Group Analysis
Emory University; United States of America
Summary Page| Methods Description | Score Sheet
*Best Prediction of All Categories
- S. Ghebreab, P. Adriaans, A.W.M. Smeulders
Incremental ClusterWise Regression Analysis of Functional Stimulation-Activation Data
University of Amsterdam; Netherlands
Summary Page | Methods Description| Score Sheet | Poster
*Best Prediction of Actor Exemplars
- Paul F. Rodriguez
Fast Prediction Using Large Numbers of Voxels with Kernel Based Non-linear Partial Least Squares Regression
University of California, Irvine; United States of America
Summary Page | Methods Description | Score Sheet
*Best Prediction of Internal Assessment
Top 4 - 10
4. Greg Stephens, Dennis Chigirev and The Princeton EBC team
The Power of Linear Methods
Princeton University; United State of America
Methods Description | Score Sheet
5. Dr. Janaina Mourao Miranda, Dr. John Ashburnera, Mr. Chia-Yueh Carlton Chua, Mr. Geoffrey Tama
Functional Imaging Laboratory (FIL), Center for Neuroimaging Sciences, IOP, KCL; London
Support Vector Regression and Relevance Vector Regression
Methods Description | Score Sheet | Poster
6. Vaidehi Natu, Greg Detre and the Princeton EBC team
Backpropagation neural networks and and discretized regressors
Princeton University, United State of America
Methods Description | Score Sheet
7. Paul F. Rodriguez
Fast Prediction Using Large Numbers of Voxels with Kernel Based Non-linear Partial Least Squares Regression
University of California, Irvine; United States of America
Methods Description | Score Sheet | Poster
8. István Szita
How to Select the 100 Voxels that are Best for Prediction – a Simplistic Approach
Neural Information Processing Group, Eötvös Loránd University; Hungary
Methods Description | Score Sheet
9. David S. Wack
Stochastic Discrimination and Linear Fit Approaches to PBAIC Data
University of Buffalo; United States of America
Methods Description | Score Sheet
10. Joost Wegman, Marieke van der Linden, Jaap Murre, Miranda van Turennout
Classifying subjective ratings of movie features using brain imaging data: Support Vector Regression on functional MRI
F.C. Donders Centre for Cognitive Neuroimaging, Nijmegen; Netherlands
Methods Description | Score Sheet
2006 Competition Participants (by institution)
- John Aston
Academia Sinica; Taiwan
Methods Description | Score Sheet
- Alex Harner, Okito Yamishita, Daniel Callan, Yukiyasu Kamitani
A whole-brain correlation-based approach to decoding high-level features in fMRI data
ATR Computation Neuroscience Laboratories; Japan
Methods Description | Score Sheet
- Mark Palatucci
Carnegie Mellon University; United States of America
Methods Description | Score Sheet
- Indrayana Rustandi
Support Vector Regression on Wavelet-Thresholded fMRI Data
Carnegie Mellon University; United States of America
Methods Description | Score Sheet
- Haibin Huang
Prediction of brain activity using ROIs found by neural network-based method and peak finding method
Cleveland Clinic; United States of America
Methods Description | Score Sheet
- Bennett CM, Kraemer DJ, Cross ES, Tunik E, and Ortigue SN
Subjective ratings prediction by flatmapped covariance
Dartmouth College; United States of America
Methods Description | Score Sheet | Poster
- Rajan S. Patel, F. DuBois Bowman, Ying Guo, Gordana Derado
Integrating Support Vector Machines, Supervised Principal Components, and Boosting to Interpret Brain Activity
Emory University; United States of America
Methods Description |Score Sheet
- B. Douglas Ward
Optimal Estimation of Brain Activation by Application of Kalman Filtering
Medical College of Wisconsin; United States of America
Methods Description | Score Sheet
- René Weber, John Sherry, Ron Tamborini, Klaus Mathiak
Theory Based Analysis of Emotion Relevant Show Content and Brain Activity: A Canonical Correlation Approach
Michigan State University; United States of America
RWTH University; Germany
Methods Description | Score Sheet
- SunsongYin Keming
National University of Defense Technology; China
Methods Description | Score Sheet
- Shannon Hughes
Princeton University; United State of America
Methods Description | Score Sheet
- Chris Moore & the Princeton EBC team
Voxel-wise ridge regression & enforcing correlations between predictions
Princeton University; United States of America
Methods Description | Score Sheet
- Vaidehi Natu
Princeton University; United State of America
Methods Description | Score Sheet
- Ehren Newman, Chris Moore & the Princeton EBC team
Independent voxel-wise ridge regression & enforcing correlations between predictions
Princeton University; United States of America
Methods Description | Score Sheet
- Matthew Weber
Princeton University; United State of America
Methods Description | Score Sheet
- Jeng-Ren Duann, Molly Davies, Tzyy-Ping Jung, Scott Makeig
Independent brain responses to watching “Home Improvement”
University of California; United States of America
Methods Description | Score Sheet
- Zhiqiang Bi
University of California at Santa Barbara; United States of America
Methods Description | Score Sheet
- Mike Angstadt, Daniel A. Fitzgerald, Rosemary A. McCarron, K. Luan Phan
Using Multilayer Perceptrons to predict responses from fMRI data
University of Chicago; United States of America
Methods Description | Score Sheet
- F. De Martino, G. Valente, F. Esposito, R. Goebel, E. Formisano
‘Brain Reading’ of movie data with least squares Support Vector Machine function estimation
University of Maastricht; Netherlands
Methods Description | Score Sheet
- Giancarlo Valente, Federico De Martino, Fabrizio Esposito, Rainer Goebel, Elia Formisano
Movie Ratings prediction with SVM-based Function Estimation and Self Organizing ICA-based areas selection
University of Maastricht; Netherlands
Methods Description | Score Sheet
- Mark Scully
The Use of ICA On Source Data and kMeans On Subject Ratings As Input To Classifiers
University of New Mexico; United States of America
Methods Description | Score Sheet
- David R. Hardoon & John Shawe-Taylor
Maximum Margin Regression using KCCA Feature Projection
University of Southampton; United Kingdom
Methods Description | Score Sheet
- Roberto Viviani, Tobias Wunner
Functional Principal Component Analysis
University of Ulm; Germany
Methods Description | Score Sheet
- Michael D. Fox & Abraham Z. Snyder
Prediction of Movie Features Using Feature-Specific Right-Inverse Beta Maps
Washington University, St. Louis; United States of America
Methods Description | Score Sheet
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