Zhuoqin Yang

This study uses a theoretical cerebellar model to show that sparse granule cell activation and inhibitory pathways are critical for accurate and stable learning in different tasks.

This paper develops a mathematical model to analyze the dynamic behavior of autophagy in clearing aggregated α-synuclein, revealing tri-stability and feedback mechanisms relevant to Parkinson's disease progression.

The paper investigates how time-scale separation and stochasticity affect phenotypic dynamics in two genetic regulation circuits of Bacillus subtilis.