Xujun Duan is a professor of Biomedical Engineering at the University of Electronic Science and Technology of China, Chengdu, China. She received her PhD in Biomedical Engineering at the University of Electronic Science and Technology of China, and conducted a Joint PhD study at Stanford University under the supervision of Dr. Vinod Menon. Her long-term research goal is to address how brain anatomy, function and connectivity are altered in autism spectrum disorder (ASD), and how they vary across the population, by using multi-modal brain imaging techniques and computational methods.
Xujun Duan
Professor of biomedical engineering
University of Electronic Science and Technology of China
From this contributor
Magnetic stimulation for autism: Q&A with Xujun Duan
A new individualized approach to transcranial magnetic stimulation may one day be an effective treatment for social and communication difficulties, if the results from Duan’s small preliminary trial pan out.
Magnetic stimulation for autism: Q&A with Xujun Duan
Explore more from The Transmitter
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.