Welcome to Department of Computational Brain Imaging(CBI)!

The goals of our research are to develop novel methods to understand human brain imaging data as well as to make applications of human brain imaging data. In particular, we work on multimodal imaging integration and Brain Network Interface (BNI) using statistical models and machine learning methods. In the multimodal imaging integration project, we have developed an innovative source localization method that combines MEG measurement with high temporal resolution and fMRI measurement with high spatial resolution. Furthermore, we are extending our method to integrate EEG and NIRS measurements both of which can make it possible to measure brain activities in daily life. In the BNI project, we are developing methods to decode his/her intention from brain data as well as clarifying cognitive mechanisms during using BNI.

Research Topics

  • Multimodal imaging and the source localization method
  • Decoding method
  • System identification method for investigating neural processing
  • Brain network interface