Abstract
To understand global and local design principles of mammalian cerebral cortical networks, we applied network-theoretical approaches to connectivity data from macaque and cat cortical networks. We first confirmed "small-world" properties and searched for the evidence of hierarchical modularity. To elucidate their local design principles, we then compared these cortical networks, based on the significance profile (SP) of network motifs in the real network compared to randomized networks. We found that SPs of different mammalian cortical networks are highly conserved and robust, suggesting constraints of neocortical development and evolution.
Original language | English |
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Pages (from-to) | 309-315 |
Number of pages | 7 |
Journal | Neuroscience Research |
Volume | 51 |
Issue number | 3 |
Early online date | 23 Dec 2004 |
DOIs | |
Publication status | Published - 31 Mar 2005 |
Keywords
- cortical organization
- feed-forward
- feedback
- graph theory
- network theory
- neuroinformatics
- scale-free topology
- small-world network