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#Drosophila

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Sometimes one stops to just look at the data. And the software user interface. They are beautiful.

We are looking at a cross section of the #Drosophila larval brain, near the brain commissure, where hundreds of neurons (magenta: their reconstructed skeletons) cross from one brain hemisphere to the other. To the right, a 3D rendering of multiple neurons, a pair of which cross the midline in a U-shaped bend.

Our CATMAID software is web-based, in other words it's just a website that accesses remote data. I credit it's sleek design to @herrsaalfeld – author of the early, "Ice Age" CATMAID and its blue tones – who at some point in his life studied "medieninformatik" and has always had a penchant for art.

See our images and fly neurons here, kindly hosted by the #VirtualFlyBrain :
l1em.catmaid.virtualflybrain.o

"Infrequent strong connections constrain connectomic predictions of neuronal function", Currier and Clandinin
biorxiv.org/content/10.1101/20

Quite the reversal from studies showing that deriving connectomes from correlated neural activity is not accurate because of lacking a unique solution:

"we show that physiology is a stronger predictor of wiring than wiring is of physiology"

bioRxiv · Infrequent strong connections constrain connectomic predictions of neuronal functionHow does circuit wiring constrain neural computation? Recent work has leveraged connectomic datasets to predict the function of cells and circuits in the brains of many species. However, many of these hypotheses have not been compared with physiological measurements, obscuring the limits of connectome-based functional predictions. To explore these limits, we characterized the visual responses of 91 cell types in the fruit fly and quantitatively compared them to connectomic predictions. We show that these predictions are accurate for some response properties, such as orientation tuning, but are surprisingly poor for other properties, such as receptive field size. Importantly, strong synaptic inputs are more functionally homogeneous than expected by chance, and exert an outsized influence on postsynaptic responses, providing a powerful modeling constraint. Finally, we show that physiology is a stronger predictor of wiring than wiring is of physiology, revising our understanding of the structure-function relationship in the brain. ### Competing Interest Statement The authors have declared no competing interest.

Temperatur während Entwicklung beeinflusst Vernetzung von Nervenzellen und Verhalten bei Fruchtfliegen: Gehirn von #Drosophila melanogaster weist mehr Synapsen und mehr postsynaptische Verbindungen auf, wenn Umgebungstemperatur während Verpuppung niedriger war 👉 presse.uni-mainz.de/temperatur @dfg_public