347 citations · 701 across the 6 of their papers we have counts for
6 papers
Efficient network navigation with partial information
Xiaoran Yan, Olaf Sporns, Andrea Avena-Koenigsberger
We propose a information theoretical framework to capture transition and information costs of network navigation models. Based on the minimum description length principle and the M…
A spectrum of routing strategies for brain networks
Andrea Avena-Koenigsberger, Xiaoran Yan, Artemy Kolchinsky +3
Communication of signals among nodes in a complex network poses fundamental problems of efficiency and cost. Routing of messages along shortest paths requires global information ab…
Stochastic resonance and optimal information transfer at criticality on a network model of the human connectome
Bertha Vázquez-Rodríguez, Andrea Avena-Koenigsberger, Olaf Sporns +3
Stochastic resonance is a phenomenon in which noise enhances the response of a system to an input signal. The brain is an example of a system that has to detect and transmit signal…
Routes Obey Hierarchy in Complex Networks
Attila Csoma, Attila Kőrösi, Gábor Rétvári +7
Various hypotheses exist about the paths used for communication between the nodes of complex networks. Most studies simply suppose that communication goes via shortest paths, while…
Generative models of the human connectome
Richard F. Betzel, Andrea Avena-Koenigsberger, Joaquín Goñi +11
The human connectome represents a network map of the brain's wiring diagram and the pattern into which its connections are organized is thought to play an important role in cogniti…
Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity
Richard F. Betzel, Alessandra Griffa, Andrea Avena-Koenigsberger +4
The human connectome has been widely studied over the past decade. A principal finding is that it can be decomposed into communities of densely interconnected brain regions. This r…