Leveraging edge-centric networks complements existing network-level inference for functional connectomes.
Raimundo X. RodriguezStephanie NobleLink TejavibulyaDustin ScheinostPublished in: NeuroImage (2022)
Keyphrases
- network structure
- complex networks
- network model
- network design
- computer networks
- network size
- network topologies
- network parameters
- heterogeneous networks
- transport network
- community structure
- counter propagation
- dynamic networks
- network resources
- real world networks
- network analysis
- link prediction
- cellular networks
- telecommunication networks
- scale free
- information networks
- social networks
- network dynamics
- centrality measures
- connectionist networks
- internet protocol
- sparsely connected
- application level
- peer to peer
- fully connected
- optical networks
- social network analysis
- biological networks
- community detection
- spiking neural networks
- network management
- recurrent networks
- alarm correlation
- protein interaction networks
- edge detection
- graphical models
- network nodes
- small world
- high bandwidth
- probabilistic networks
- neural network
- transportation networks
- functional modules