Wei-Chung Allen Lee

The paper presents tools to reconstruct spinal cord circuits and identifies modality-specific inhibitory synapses between sensory neurons and inhibitory neurons.

The paper maps synaptic connections in the mouse spinal dorsal horn to show how different sensory modalities are routed through distinct pathways to the brain.

The paper shows that cerebellar Purkinje cells are randomly innervated by parallel fibers, suggesting this randomness supports diverse learning in neural circuits.

The paper automatically aligns Drosophila connectomes to classify neurons and identify sex-specific and sexually dimorphic cell types in the ventral nerve cord.

The paper presents the first densely reconstructed adult fruit fly connectome integrating the brain and ventral nerve cord, revealing distributed control circuits involving local and long-range neural connections.

The paper investigates Purkinje cell connectivity to molecular layer interneuron subtypes and finds that PCs preferentially synapse onto MLI2s and disinhibit MLI1s, revealing feedback pathways that modulate PC firing.

The paper demonstrates that networks of molecular layer interneurons use ephaptic signals to control Purkinje cell firing timing in vivo.

The paper analyzes CO2-sensing circuits in Aedes aegypti mosquitoes, finding high recurrent connectivity among CO2-sensitive neurons and proposing it enhances CO2 detection.

The paper investigates how climbing fiber inputs selectively excite disinhibitory interneurons to enhance dendritic calcium signaling in Purkinje cells, supporting cerebellar learning.

This paper introduces a self-supervised image restoration method for X-ray holographic nanotomography to improve resolution, contrast, and speed in neuronal imaging.

The paper completes the list of cell types in the Drosophila optic lobe and identifies connectivity rules, revealing new families and clusters related to visual functions.

The paper reconstructs and analyzes the female Drosophila ventral nerve cord connectome, identifying neural circuits that coordinate wings and legs during escape takeoff.

The paper analyzes premotor circuits in Drosophila to compare leg and wing motor control networks, finding modular organization and differences in synaptic connectivity.

This paper demonstrates limited-tilt serial section electron tomography for high-resolution 3D mapping of brain circuits and evaluates imaging parameters for connectomic-scale projects.

The paper provides a connectomic description of ascending and descending neurons in the Drosophila nervous system, revealing sexual dimorphism and motor-related circuits.

The paper investigates how synaptic connectivity in the posterior parietal cortex supports decision-making by identifying opponent inhibition motifs between excitatory and inhibitory neurons.

This study uses 3D reconstructions of mechanosensory end organs to propose a unified mechanism for Aβ RA-LTMR activation through axon protrusions and Piezo2 distribution.

The paper identifies two MLI subtypes with distinct connectivity and functional roles in cerebellar circuits, showing how disinhibition gates cerebellar-dependent learning.

The paper identifies two pairs of ascending histaminergic neurons that provide predictive motor signals to non-overlapping sensory and motor networks in flies.

This paper introduces an auxiliary learning task using Local Shape Descriptors to improve neuron segmentation in electron microscopy volumes, achieving performance comparable to state-of-the-art methods with greater efficiency.

The paper maps cerebellar connectivity in mice and shows how structured, non-random motifs improve pattern separation while maintaining encoding capacity.

The paper investigates biomechanical and molecular mechanisms underlying proprioceptor diversity in Drosophila legs, identifying a biomechanical basis for joint angle selectivity and a goniotopic map of joint angle.

The paper investigates how proprioceptive signals from Drosophila legs are processed by central circuits, revealing parallel pathways for internal and external mechanosensory feedback.

The paper profiles vascular and perivascular cells in different brain regions to reveal molecular and cellular bases of blood-brain barrier heterogeneity.

The paper identifies candelabrum cells as abundant, GABAergic interneurons in the cerebellar cortex with distinct molecular properties and a unique role in circuit function.

The paper presents a high-resolution EM dataset of Drosophila ventral nerve cord and develops GridTape for automated EM data collection, revealing a unique feedback pathway in motor control.

The paper describes a high-throughput transmission electron microscopy pipeline for imaging neuronal circuits, achieving petascale data acquisition of mouse neocortex.

This paper introduces X-ray holographic nano-tomography for imaging dense neuronal structures in Drosophila and mammals, using convolutional neural networks for automated segmentation.

This study shows that Sonic hedgehog signaling from cortical neurons regulates astrocyte development and synaptic connectivity during cortical circuit formation.

The paper presents an automatic method to identify synaptic partners in a whole-brain Drosophila EM dataset using convolutional neural networks, achieving high accuracy in predicting synaptic connections.