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fly_larva — Drosophila larva brain (2023)

Description

A complete synaptic map of the brain connectome of the larva of the fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using three-dimensional electron microscopy–based reconstruction. A directed edge points from the presynaptic to the postsynaptic neuron (from the rows to the columns of the published connectivity matrices), with a separate edge for each type of connection between the pair, according to the presynaptic and postsynaptic compartments ('ad': axo-dendritic, 'aa': axo-axonic, 'dd': dendro-dendritic, 'da': dendro-axonic), so that a pair of neurons can be connected by several parallel edges; each edge is weighted by its number of synapses. Node metadata include the neuron hemisphere, hemispherical homologue, cell type, annotations, and inferred cluster. Edge metadata include the type of interaction ('aa', 'ad', 'da', 'dd'), and synapse count.

Tags
Biological Connectome Weighted Multigraph Metadata
Added
2023-03-11
Citation
Upstream URL 500
https://doi.org/10.1126/science.add9330
https://europepmc.org/article/PMC/PMC7614541
Networks
Tip: hover over a column header for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
fly_larva 2,956 116,922 39.55 56.78 109.29 17.48 0.33 0.30 9 1.00 Directed Unipartite vids hemisphere homologue cell_type annotations cluster count etype 277 KiB 632 KiB 622 KiB 495 KiB
Ridiculograms*
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.