The highest level of DTBVis shows an overview of the datasets from the brain, which is used for comparison and exploration of the function and structure of the DTB and the human brain. Combined with automatic similarity recommendation, and high-dimensional exploration, DTBVis can assist experts to understand the similarities and differences between the DTB and the human brain, thus helping them adjust their model and enhance its functionality. DTBVis supports iterative explorations from different levels and at different granularities. Therefore, in this study, we proposed DTBVis, a visual analytics system that supports comparison tasks for the DTB. Moreover, the complexity of the datasets (multilevel spatiotemporal granularity and different types of comparison tasks) presents new challenges to the analysis and exploration of visualization.

However, the visualization study of the DTB is still under-researched. Given that the task of the DTB is to simulate the functions of the human brain, comparing the similarities and differences between the two is crucial. It can achieve various cognitive abilities and their synergistic mechanisms in a manner similar to the human brain. The digital twin brain (DTB) computing model from brain-inspired computing research is an emerging artificial intelligence technique, which is realized by a computational modeling approach of hardware and software.

Brain mapping tools comparison