%0 Journal Article %J Science %D 2013 %T Cortical high-density counterstream architectures. %A Markov, Nikola T %A Ercsey-Ravasz, Mária %A Van Essen, David C %A Knoblauch, Kenneth %A Toroczkai, Zoltán %A Kennedy, Henry %K Cerebral Cortex %K Humans %K Mental Processes %K Models, Neurological %K Nerve Net %X

Small-world networks provide an appealing description of cortical architecture owing to their capacity for integration and segregation combined with an economy of connectivity. Previous reports of low-density interareal graphs and apparent small-world properties are challenged by data that reveal high-density cortical graphs in which economy of connections is achieved by weight heterogeneity and distance-weight correlations. These properties define a model that predicts many binary and weighted features of the cortical network including a core-periphery, a typical feature of self-organizing information processing systems. Feedback and feedforward pathways between areas exhibit a dual counterstream organization, and their integration into local circuits constrains cortical computation. Here, we propose a bow-tie representation of interareal architecture derived from the hierarchical laminar weights of pathways between the high-efficiency dense core and periphery.

%B Science %V 342 %P 1238406 %8 2013 Nov 1 %G eng %U http://www.ncbi.nlm.nih.gov/pubmed/24179228 %N 6158 %1 http://www.ncbi.nlm.nih.gov/pubmed/24179228?dopt=Abstract %R 10.1126/science.1238406