Cortical high-density counterstream architectures.

Nikola Markov; Mária Ercsey-Ravasz; David Van Essen; Kenneth Knoblauch; Zoltán Toroczkai; Henry Kennedy

doi:10.1126/science.1238406

Cortical high-density counterstream architectures.

Nikola Markov ^{1, 2} Mária Ercsey-Ravasz ³ David Van Essen ⁴ Kenneth Knoblauch ¹ Zoltán Toroczkai ^{5, 6} Henry Kennedy ^{1, *}

* Auteur correspondant

1 SBRI - Institut cellule souche et cerveau / Stem Cell and Brain Research Institute

2 Department of Neurobiology

3 Faculty of Physics

4 Department of Anatomy & Neurobiology

5 Department of Physics

6 MPI-PKS - Max Planck Institute for the Physics of Complex Systems

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.

Type de document :

Article dans une revue

Science, American Association for the Advancement of Science, 2013, 342 (6158), pp.1238406. 〈10.1126/science.1238406〉

Domaine :

Sciences du Vivant [q-bio] / Neurosciences [q-bio.NC]

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Soumis le : lundi 4 novembre 2013 - 10:03:21
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