Shanshan Jia

This paper decodes natural scenes from optogenetic responses in mouse visual cortex and shows that patterned stimulation can reproduce visual representations with high fidelity.

This study uses deep learning to decode dynamic natural visual scenes from neural activity across brain regions, revealing distinct encoding patterns in visual cortex and subcortical nuclei compared to hippocampus.

The paper introduces a method for multi-area two-photon imaging in awake mice, enabling simultaneous single-cell resolution imaging across different brain regions.