Hao Shen

This study uses flexible electrodes to track and model representational drift in mouse visual cortex, enabling a stable decoder for brain-machine interfaces.

This paper introduces a stretchable microelectrode array that integrates into the developing brain, enabling long-term, stable neural activity tracking without disrupting development.

The paper creates a high-resolution spatial atlas of the mouse CNS by combining in situ sequencing with scRNA-seq data to map cell types and gene expression across the brain and spinal cord.

This paper introduces in situ electro-sequencing to map gene expression and electrophysiology in 3D tissues, improving cell type analysis and developmental trajectory reconstruction.

This study shows that perceptual learning in mice alters neuronal tuning and pairwise correlations in the primary somatosensory cortex, forming task-relevant like-to-like subnetworks during active task performance.

This study develops a stable neural recording method for mice, enabling long-term tracking of single-neuron activity and analysis of aging effects using machine learning.