FB2026_02 , released June 18, 2026
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Citation
Mittal, A.M., Gupta, D., Singh, A., Lin, A.C., Gupta, N. (2020). Multiple network properties overcome random connectivity to enable stereotypic sensory responses.  Nat. Commun. 11(1): 1023.
FlyBase ID
FBrf0245591
Publication Type
Research paper
Abstract
Connections between neuronal populations may be genetically hardwired or random. In the insect olfactory system, projection neurons of the antennal lobe connect randomly to Kenyon cells of the mushroom body. Consequently, while the odor responses of the projection neurons are stereotyped across individuals, the responses of the Kenyon cells are variable. Surprisingly, downstream of Kenyon cells, mushroom body output neurons show stereotypy in their responses. We found that the stereotypy is enabled by the convergence of inputs from many Kenyon cells onto an output neuron, and does not require learning. The stereotypy emerges in the total response of the Kenyon cell population using multiple odor-specific features of the projection neuron responses, benefits from the nonlinearity in the transfer function, depends on the convergence:randomness ratio, and is constrained by sparseness. Together, our results reveal the fundamental mechanisms and constraints with which convergence enables stereotypy in sensory responses despite random connectivity.
PubMed ID
PubMed Central ID
PMC7039968 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Nat. Commun.
    Title
    Nature communications
    ISBN/ISSN
    2041-1723
    Data From Reference
    Chemicals (3)