Deciding where to attend: Large-scale network mechanisms underlying attention and intention revealed by graph-theoretic analysis.
Yuelu LiuXiangfei HongJesse J. BengsonTodd A. KelleyMingzhou DingGeorge R. MangunPublished in: NeuroImage (2017)
Keyphrases
- theoretic analysis
- mechanisms underlying
- network model
- spanning tree
- fully connected
- network structure
- computer networks
- random graphs
- graph model
- graph representation
- real world
- small world
- graphical representation
- graph matching
- random walk
- peer to peer
- sparsely connected
- network architecture
- highly connected
- wireless sensor networks
- small scale
- complex networks
- functional modules
- neural network
- overlapping communities
- structured data
- dynamic networks
- connected components
- network topologies
- directed acyclic graph
- network traffic
- community structure
- power law
- communication networks
- graph theory
- minimum cost
- weighted graph