Research focus
About the research
How can machine learning decode human brain activity to reveal the neural representations of language meaning during reading?
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The group uses functional Magnetic Resonance Imaging to capture three-dimensional images of human brain activity and trains machine learning algorithms to decode mental states from those images. The group develops temporal models and classifiers for extremely high-dimensional, noisy fMRI data to discover spatial-temporal activity patterns associated with cognitive tasks. The group builds intelligent workstation assistants that learn from users' email, calendar and text files, focusing on automatic information extraction and cumulative long-term learning. The group applies large language models and student-knowledge tracing to improve online education systems and to select effective teaching actions.
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