Weighted generative network models of neuronal development
Kayton Rotenberg, Danyal Akarca, Duncan Astle · FENS Forum 2024
In studying connectome organization, generative network models (GNM) have become a critical tool in describing the underlying resource and network constraints driving development. While GNMs highlight nuanced economic trade-offs, they exclusively describe binary networks, without regard for the strength of connections. Weighted generative models (WGM), provide a promising expansion to the current strategy. By leveraging communicability and redundancy calculations, WGMs can modulate edge values within a network throughout development and successfully capture the topology of a biological weighte
ePoster · Neuroscience