Shiyu Zhang

SynAPSeg provides a framework and dataset for deep learning-based synapse detection and quantification, achieving expert-level performance and revealing age-related synaptic changes.

The paper identifies sex and experience-dependent regulation of synaptic protein turnover using SILAM in the hippocampus, finding sex-specific changes in ASD risk genes and experience-induced stabilization of PSD proteins.

This study identifies Btbd11 as a regulator of glutamatergic synapse organization in GABAergic inhibitory interneurons, showing its role in phase separation and synaptic nanoarchitecture.