{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["8(3)"],"submitter":["Luna R"],"pubmed_abstract":["Spontaneous retinal wave activity shaping the visual system is a complex neurodevelopmental phenomenon. Retinal ganglion cells are the hubs through which activity diverges throughout the visual system. We consider how these divergent hubs emerge, using an adaptively rewiring neural network model. Adaptive rewiring models show in a principled way how brains could achieve their complex topologies. Modular small-world structures with rich-club effects and circuits of convergent-divergent units emerge as networks evolve, driven by their own spontaneous activity. Arbitrary nodes of an initially random model network were designated as retinal ganglion cells. They were intermittently exposed to the retinal waveform, as the network evolved through adaptive rewiring. A significant proportion of the"],"journal":["Network neuroscience (Cambridge, Mass.)"],"pagination":["653-672"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11340993"],"repository":["biostudies-literature"],"pubmed_title":["Retinal waves in adaptive rewiring networks orchestrate convergence and divergence in the visual system."],"pmcid":["PMC11340993"],"pubmed_authors":["Li J","Bauer R","van Leeuwen C","Luna R"],"additional_accession":[]},"is_claimable":false,"name":"Retinal waves in adaptive rewiring networks orchestrate convergence and divergence in the visual system.","description":"Spontaneous retinal wave activity shaping the visual system is a complex neurodevelopmental phenomenon. Retinal ganglion cells are the hubs through which activity diverges throughout the visual system. We consider how these divergent hubs emerge, using an adaptively rewiring neural network model. Adaptive rewiring models show in a principled way how brains could achieve their complex topologies. Modular small-world structures with rich-club effects and circuits of convergent-divergent units emerge as networks evolve, driven by their own spontaneous activity. Arbitrary nodes of an initially random model network were designated as retinal ganglion cells. They were intermittently exposed to the retinal waveform, as the network evolved through adaptive rewiring. A significant proportion of the","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2025-04-04T02:54:10.885Z","creation":"2025-04-04T02:54:10.885Z"},"accession":"S-EPMC11340993","cross_references":{"pubmed":["39355440"],"doi":["10.1162/netn_a_00370"]}}