TY  - JOUR
A1  - Hoffmann, Felix Z.
A1  - Triesch, Jochen
T1  - Nonrandom network connectivity comes in pairs
T2  - Network neuroscience
N2  - 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.
KW  - Nonrandom connectivity
KW  - Cortical circuit
KW  - Bidirectional connections
KW  - Random graph model
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/44258
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-442587
SN  - 2472-1751
N1  - Copyright: © 2017 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license
VL  - 1
IS  - 1
SP  - 31
EP  - 41
PB  - The MIT Press
CY  - Cambridge, Massachusetts, Vereinigte Staaten
ER  -