year: 2022/05
paper: https://www.biorxiv.org/content/10.1101/2022.05.30.494086v1
website:
code:
connections: long-tailed, self-organization, neuronal connectivity, clustering, neuronal networks, scale-free
In networks of neurons, the connections are heavy–tailed, with a small number of neurons connected much more strongly than the vast majority of pairs.1–6 Yet it remains unclear whether, and how, such heavy–tailed connectivity emerges from simple underlying mechanisms. Here we propose a minimal model of synaptic self–organization: connections are pruned at random, and the synaptic strength rearranges under a mixture of Hebbian and random dynamics. Under these generic rules, networks evolve to produce scale–free distributions of connectivity strength..