Celia David

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

Eyewire II provides a large-scale EM dataset of the mouse retina, enabling cell type annotation and connectivity mapping through human-in-the-loop deep learning and functional alignment.

The paper uses a larval zebrafish connectome to predict neural coding of behavior and shows statistical matches with calcium imaging data.

The paper presents the first neuronal wiring diagram of a whole adult Drosophila brain, revealing synaptic connections and circuit mechanisms underlying sensorimotor behaviors.

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 identifies novel nuclear layer contacts between starburst amacrine cells in the mouse retina through detailed morphological analysis of electron microscopic data.

The paper presents a digital resource of mouse retinal ganglion cell dendritic arbors and visual responses, identifies sublaminae, clusters cells, and finds sustained responses in one sublamina.