Convergence And Divergence Are Mostly Reciprocated Properties Of The Connections In The Network Of Cortical Areas

Main Category: Neurology / Neuroscience
Article Date: 16 Jul 2008 - 2:00 PDT

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Our study shows that measuring the degree of convergence/divergence through the connections is an effective tool in exploring integrative properties of the network elements. We used this tool to study cortical integration in the network of areas.

It was found that convergent and divergent connections are predominantly reciprocal and they form two complementary subnetworks as suggested by the backward and forward processing schemes in hierarchical models.

Our results also indicate that cortical networks have a fixed level of reciprocity. As our technique relies solely on connectional properties, it is applicable to the analysis of any kind of directed graphs.

Proceedings of the Royal Society B: Biological Sciences

Proceedings B is the Royal Society's flagship biological research journal, dedicated to the rapid publication and broad dissemination of high-quality research papers, reviews and comment and reply papers. The scope of journal is diverse and is especially strong in organismal biology.

www.publishing.royalsociety.org/proceedingsb