Yaoyao Li

The paper integrates transcriptomic, morphological, and electrophysiological data to define neuron types in mouse visual cortex and predict their projection targets.

This study integrates molecular and morphological data to classify cortical neurons and map their connectomes, revealing organizational principles of brain-wide networks at the single-cell level.

This study maps the cell-type-specific afferent and efferent projections of the mouse claustrum using viral tracing and single-neuron reconstruction, revealing its widespread connections and regional specificity.

The paper provides a detailed cellular-resolution map of the mouse primary motor cortex, defining cell types and their connectivity.

Complete morphologies of 1,708 neurons, sparsely labelled and imaged whole-brain with fMOST, expose region-specific long-range projection rules and finer diversity than current transcriptomic subtypes capture.

The paper expands the Allen Mouse Brain Connectivity Atlas by analyzing intracortical connections at the layer and cell class level, revealing modular organization and distinct projection patterns.

The paper introduces TeraVR, a virtual reality system for precise 3-D neuronal morphology reconstruction in whole mouse brains, enabling collaborative and efficient annotation of complex neuronal structures.