Hui Gong

The paper develops Macaca-Star, a pipeline for automated macaque brain registration across modalities, addressing deformation and variability challenges in ex vivo samples.

The paper identifies 31 projectome-defined subtypes of hypothalamic neurons and six modular subnetworks, revealing the organization of axon projections and their functional roles.

The paper characterizes the organization of midbrain cholinergic neurons by reconstructing their axonal projections and identifying distinct subtypes based on their connectivity patterns.

The paper introduces MorphoGNN, a graph neural network method for embedding single neuron morphology, achieving competitive performance in classification and retrieval tasks.

The paper creates a whole-brain connectivity atlas of glutamatergic and GABAergic neurons in the mouse dorsal and median raphe nucleus, revealing distinct projection patterns and input sources.

The paper maps functional domains and subnetworks in the cortico-basal ganglia-thalamic loop in mice, revealing complex patterns of convergence and divergence.

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

This study reconstructs the hypothalamo-neurohypophysial system's structure and function, revealing MNCs' role in both peripheral and central oxytocin actions.

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 characterizes the dendritic morphology of CRH neurons across the mouse brain using fMOST, revealing regional differences and specific structural features.

This paper introduces BrainsMapi, a robust image registration interface for large volume brain datasets, achieving accurate registration of cellular-level data up to 20 TB.

The paper develops a multi-fluorescent rabies virus tracing tool to map corticothalamic projection neuron subsets in the primary visual cortex, revealing their layer-specific distribution and multi-target connectivity.

The paper introduces a light-inducible recombinase system for targeted genomic modifications in neurons, enabling precise labeling and functional analysis of neural circuits in live mouse brains.

This paper introduces ST-LFV, a method that improves weak signal identification in neuronal images, achieving higher recall and precision than existing tools for large-scale neurite tracing.