English

Non-random network connectivity comes in pairs

Neurons and Cognition 2016-12-14 v2

Abstract

Overrepresentation of bidirectional connections in local cortical networks has been repeatedly reported and is in the focus of the ongoing discussion of non-random connectivity. Here we show in a brief mathematical analysis that in a network in which connection probabilities are symmetric in pairs, Pij=PjiP_{ij} = P_{ji}, the occurrence of bidirectional connections and non-random structures are inherently linked; an overabundance of reciprocally connected pairs emerges necessarily when the network structure deviates from a random network in any form.

Cite

@article{arxiv.1609.04245,
  title  = {Non-random network connectivity comes in pairs},
  author = {Felix Z. Hoffmann and Jochen Triesch},
  journal= {arXiv preprint arXiv:1609.04245},
  year   = {2016}
}

Comments

16 pages, 3 figures

R2 v1 2026-06-22T15:49:33.187Z