Population-level dynamics in prefrontal cortex reflect hierarchical decision structure
Nature Neuroscience · 2025
Associate Professor of Computational Neuroscience
South Harmon Institute of Technology
I study how neural circuits in the prefrontal cortex give rise to flexible decision-making. My lab combines large-scale electrophysiology, computational modeling, and machine learning to decode the population dynamics underlying cognitive control. Before joining Harmon, I completed postdoctoral training at Greendale Institute and earned my PhD at Pemberton University. My work has been supported by the Wexler Science Fund, Meridian Research Council, and the Lakeshore Foundation.

Population-level dynamics in prefrontal cortex reflect hierarchical decision structure
Nature Neuroscience · 2025
Recurrent neural network models reveal context-dependent population codes in PFC
Nature Communications · 2024
Real-time decoding of prefrontal ensemble dynamics during cognitive flexibility tasks
Proceedings of the National Academy of Sciences · 2023
Deep learning approaches for spike sorting in high-density electrode arrays
NeurIPS · 2023
Prefrontal-hippocampal interactions during spatial working memory: evidence from simultaneous recordings
eLife · 2022
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