Ensembling Brain Regions for Brain Decoding

Alkan S., Yarman-Vural F. T.

37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 25 - 29 August 2015, pp.2948-2951 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Milan
  • Country: Italy
  • Page Numbers: pp.2948-2951
  • Middle East Technical University Affiliated: Yes


In this study, we propose a new method which ensembles the brain regions for brain decoding. The ensemble is generated by clustering the fMRI images recorded during an experimental set-up which measures the cognitive states associated to semantic categories. Initially, voxel clusters are formed by using hierarchical agglomerative clustering with correlation as the similarity metric. Then, for each voxel cluster, a support vector machine (SVM) classifier is trained to estimate the class-posteriori probabilities. Lastly, the class-posteriori probabilities are ensembled by concatenating them under the same feature space, which are then used to train a meta-layer SVM for the final classification of the cognitive states.