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The Department of Brain Convergence integrates neuroscience, engineering, and data science to understand the principles underlying brain function and develop technologies for the diagnosis of and intervention in brain disorders.
We investigate brain development, emotional processing, and social cognition in children and adolescents, and develop biomarkers to assess cognitive functions and brain disorders by decoding brain imaging patterns.
We investigate whole-brain functional circuits and the relationship between neural activity and vascular responses in animal models. We also study how sensory information is transformed into memory, decision-making, and behavior using virtual reality, eye tracking, and computational models.
In addition, we analyze information processing and connectivity in brain signals and optimize noninvasive brain stimulation methods. We develop flexible neural devices and multimodal interfaces to advance technologies for recording and modulating neural activity.
Through convergence research connecting humans and animals, brain circuits and behavior, we aim to extend the institute's fundamental research into engineering applications and contribute to improving brain health.
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