中谷 太河
(東京工業大学大学院 生命理工学院 生命理工学系 ライフエンジニアリングコース)
Researches utilizing meta-analytic brain image analysis data as a target for machine learning aim to extract brain image information from the statistical analysis of numerous brain science studies. These approaches allow for encoding brain responses based on extensive psychological experimental data and natural language processing models. Furthermore, such application is expected to advance into functional network-based research. It is crucial to develop intuitive tools that facilitate a better understanding of the relationships among brain regions associated with this information. In our study, we will develop a prototype of an interactive 3D brain viewer and provide an example of its application in meta-analytic data machine learning．
