Zhixi Yun

The paper introduces LetsACT, a multimodal integration platform that combines morphological, spatial, and transcriptomic data to analyze morpho-genetic variations in human cortical neurons associated with tumor infiltration.

NeuroXiv provides an AI-powered database of neuron morphologies from mouse brains, enabling dynamic analysis and comparison across a standardized atlas.

This paper identifies intrinsic features that distinguish human and mouse cortical neurons, revealing significant differences in morphology, function, and separability across brain regions.

This paper constructs a mouse brain atlas based on dendritic microenvironments, revealing new subregions and improving projection mapping by integrating spatial and transcriptomic data.

The paper maps single cortical neurons across the human brain to profile morphological diversity and stereotypy using a new tomography approach.

The paper defines neuron connectivity types (c-types) using morphology and connectivity data, showing they better capture subtype distinctions than other features.

The paper provides a guide to the BRAIN Initiative Cell Census Network (BICCN) data ecosystem, its tools, and resources for analyzing brain cell types across species.

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.