Research Overview

My research aims to reveal the mechanisms and principles that link the implementational, algorithmic, and computational levels of brain function. To achieve this, I take a combination of first-principle-guided mechanistic modeling and data-driven machine-learning-empowered strategies.

1. Computational modeling and mathematical analysis of neural circuits
   • Circuit-level mechanisms underlying selective attention-related changes in neural dynamics
   • Functional benefits of neuronal heterogeneity on neural coding
   • Mean-field analysis of synaptic alterations underlying deficient cortical gamma oscillations
2. Large-scale neural recording analysis with machine learning methods
   • Sparse identification of governing equations in large-scale brain dynamics
   • Foundation model for neural representations of sensory stimuli and behaviors