Neuronal parts list and wiring diagram for a visual system

Arie Matsliah, Szi-chieh Yu, Krzysztof Kruk, Doug Bland, Austin T. Burke, Jay Gager, James Hebditch, Ben Silverman, Kyle Patrick Willie, Ryan Willie, Marissa Sorek, Amy R. Sterling, Emil Kind, Dustin Garner, Gizem Sancer, Mathias F. Wernet, Sung Soo Kim, Mala Murthy () and H. Sebastian Seung ()
Additional contact information
Arie Matsliah: Princeton University
Szi-chieh Yu: Princeton University
Krzysztof Kruk: Independent researcher
Doug Bland: Princeton University
Austin T. Burke: Princeton University
Jay Gager: Princeton University
James Hebditch: Princeton University
Ben Silverman: Princeton University
Kyle Patrick Willie: Princeton University
Ryan Willie: Princeton University
Marissa Sorek: Princeton University
Amy R. Sterling: Princeton University
Emil Kind: Freie Universität Berlin
Dustin Garner: University of California, Santa Barbara
Gizem Sancer: Yale University
Mathias F. Wernet: Freie Universität Berlin
Sung Soo Kim: University of California, Santa Barbara
Mala Murthy: Princeton University
H. Sebastian Seung: Princeton University

Nature, 2024, vol. 634, issue 8032, 166-180

Abstract: Abstract A catalogue of neuronal cell types has often been called a ‘parts list’ of the brain1, and regarded as a prerequisite for understanding brain function2,3. In the optic lobe of Drosophila, rules of connectivity between cell types have already proven to be essential for understanding fly vision4,5. Here we analyse the fly connectome to complete the list of cell types intrinsic to the optic lobe, as well as the rules governing their connectivity. Most new cell types contain 10 to 100 cells, and integrate information over medium distances in the visual field. Some existing type families (Tm, Li, and LPi)6–10 at least double in number of types. A new serpentine medulla (Sm) interneuron family contains more types than any other. Three families of cross-neuropil types are revealed. The consistency of types is demonstrated by analysing the distances in high-dimensional feature space, and is further validated by algorithms that select small subsets of discriminative features. We use connectivity to hypothesize about the functional roles of cell types in motion, object and colour vision. Connectivity with ‘boundary types’ that straddle the optic lobe and central brain is also quantified. We showcase the advantages of connectomic cell typing: complete and unbiased sampling, a rich array of features based on connectivity and reduction of the connectome to a substantially simpler wiring diagram of cell types, with immediate relevance for brain function and development.

Date: 2024
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DOI: 10.1038/s41586-024-07981-1

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