Yunliang Zang

This paper models cerebellar microcircuits and cortico-cerebellar interactions to show how they enable robust perceptual decisions through evidence accumulation and competition.

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 introduces a cerebellum-inspired kernel for OOD detection that improves performance on benchmarks and reduces computational cost.

This study shows that slow inactivation of Na+ channels normalizes axonal firing reliability when channel distributions are uneven.

The paper shows that neuronal morphology enhances robustness to channel density perturbations by maintaining firing properties despite conductance variations.

The paper models how axonal diameter, myelination, and Na/K pump density interact to affect resilience to high frequency spiking.

The paper shows that rate-dependent phase response curves in Purkinje cells enable transient oscillations through synchronized spike activity in neural networks.

The paper uses a validated PC model to show voltage and branch-specific climbing fiber responses in Purkinje cells, explaining variability in complex spikes and enhancing dendritic computational capacity.