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Network Neuroscience

Olaf Sporns, Editor
Winter 2017, Vol. 1, No. 1, Pages 31-41
(doi: 10.1162/NETN_a_00004)
Nonrandom network connectivity comes in pairs
Article PDF (380.15 KB)
Abstract

Overrepresentation of bidirectional connections in local cortical networks has been repeatedly reported and is a focus of the ongoing discussion of nonrandom connectivity. Here we show in a brief mathematical analysis that in a network in which connection probabilities are symmetric in pairs, Pij = Pji, the occurrences of bidirectional connections and nonrandom structures are inherently linked; an overabundance of reciprocally connected pairs emerges necessarily when some pairs of neurons are more likely to be connected than others. Our numerical results imply that such overrepresentation can also be sustained when connection probabilities are only approximately symmetric.