VISUAL ANALYTICS AND INTERACTIVE MACHINE LEARNING FOR HUMAN BRAIN DATA

2019-10-16T17:12:53Z (GMT) by Huang Li
This research focuses on using visualization techniques to help neuroscientists in understanding, developing and applying better machine learning models with human brain data.
We built a software platform for multi-modal visualization and then apply advance techniques to interactively train a machine learning model with fewer data. We also proposed a method to visualize the features captured by the hidden layers in deep neural networks.