@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 = {<p>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.</p>},
	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}
}
