Research Interests & Projects
Core Research Interests
- Working memory and cognitive development
- Neural dynamics and prefrontal cortex function
- Multimodal neuroimaging (MRI, fMRI, DTI)
- Cross-species comparative neuroscience
- Machine learning models for brain–behavior prediction
My research integrates behavioral testing, neural recordings, and computational modeling to understand how cognitive functions develop and operate. I'm particularly interested in identifying the neural mechanisms that underlie working memory and executive functions across development.
Current Projects
Working Memory Development in Adolescence
This project investigates the developmental trajectories of working memory in adolescent macaques, combining behavioral testing, neural recordings, and computational modeling. We identified key neural mechanisms underlying the maturation of cognitive functions during this critical period.
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Neural Circuits and Processes of Working Memory
This research explored the neural circuit mechanisms supporting working memory function, with a focus on prefrontal cortex activity patterns and their relationship to behavioral performance. We developed novel computational models to explain how neural activity maintains information over delay periods.
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White Matter Microstructure and Working Memory
Using diffusion tensor imaging (DTI), this project examined the relationship between white matter microstructure development and working memory capacity in adolescent macaques. Our findings revealed specific white matter tracts that show significant maturation during adolescence, correlating with improvements in cognitive function.
Learn more →Future Directions
My future research will focus on establishing cross-species models of cognitive development, with particular emphasis on:
Human Neurosurgical Applications
Translating findings from animal models to human clinical applications, particularly in epilepsy and movement disorders.
Cross-Species Validation
Building comparative frameworks to validate findings across species and strengthen translational neuroscience.
Computational Modeling
Developing advanced computational models that bridge neural activity and behavior across development.