@article {309034, title = {Cortical high-density counterstream architectures.}, journal = {Science}, volume = {342}, year = {2013}, note = {http://www.sciencemag.org/content/342/6158/1238406.full}, month = {2013 Nov 1}, pages = {1238406}, abstract = {

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.

}, keywords = {Cerebral Cortex, Humans, Mental Processes, Models, Neurological, Nerve Net}, issn = {1095-9203}, doi = {10.1126/science.1238406}, url = {http://www.ncbi.nlm.nih.gov/pubmed/24179228}, author = {Markov, Nikola T and Ercsey-Ravasz, M{\'a}ria and Van Essen, David C and Knoblauch, Kenneth and Toroczkai, Zolt{\'a}n and Kennedy, Henry} }