%0 Journal Article %1 Teller2014Emergence %A Teller, Sara %A Granell, Clara %A De Domenico, Manlio %A Soriano, Jordi %A Gómez, Sergio %A Arenas, Alex %D 2014 %E Gutkin, Boris S. %J PLoS Computational Biology %K assortativity, neural-networks brain %N 9 %P e1003796+ %R 10.1371/journal.pcbi.1003796 %T Emergence of Assortative Mixing between Clusters of Cultured Neurons %U http://dx.doi.org/10.1371/journal.pcbi.1003796 %V 10 %X The analysis of the activity of neuronal cultures is considered to be a good proxy of the functional connectivity of in vivo neuronal tissues. Thus, the functional complex network inferred from activity patterns is a promising way to unravel the interplay between structure and functionality of neuronal systems. Here, we monitor the spontaneous self-sustained dynamics in neuronal clusters formed by interconnected aggregates of neurons. The analysis of the time delays between ignition sequences of the clusters allows the reconstruction of the directed functional connectivity of the network. We propose a method to statistically infer this connectivity and analyze the resulting properties of the associated complex networks. Surprisingly enough, in contrast to what has been reported for many biological networks, the clustered neuronal cultures present assortative mixing connectivity values, meaning that there is a preference for clusters to link to other clusters that share similar functional connectivity. These results point out that the grouping of neurons and the assortative connectivity between clusters are intrinsic survival mechanisms of the culture.

@article{Teller2014Emergence, abstract = {{The analysis of the activity of neuronal cultures is considered to be a good proxy of the functional connectivity of in vivo neuronal tissues. Thus, the functional complex network inferred from activity patterns is a promising way to unravel the interplay between structure and functionality of neuronal systems. Here, we monitor the spontaneous self-sustained dynamics in neuronal clusters formed by interconnected aggregates of neurons. The analysis of the time delays between ignition sequences of the clusters allows the reconstruction of the directed functional connectivity of the network. We propose a method to statistically infer this connectivity and analyze the resulting properties of the associated complex networks. Surprisingly enough, in contrast to what has been reported for many biological networks, the clustered neuronal cultures present assortative mixing connectivity values, meaning that there is a preference for clusters to link to other clusters that share similar functional connectivity. These results point out that the grouping of neurons and the assortative connectivity between clusters are intrinsic survival mechanisms of the culture.}}, added-at = {2019-06-10T14:53:09.000+0200}, archiveprefix = {arXiv}, author = {Teller, Sara and Granell, Clara and De Domenico, Manlio and Soriano, Jordi and G\'{o}mez, Sergio and Arenas, Alex}, biburl = {https://www.bibsonomy.org/bibtex/2930f8ff23b5a66e0af3e8dc1443ab025/nonancourt}, citeulike-article-id = {13056539}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pcbi.1003796}, citeulike-linkout-1 = {http://arxiv.org/abs/1402.4824}, citeulike-linkout-2 = {http://arxiv.org/pdf/1402.4824}, day = 4, doi = {10.1371/journal.pcbi.1003796}, editor = {Gutkin, Boris S.}, eprint = {1402.4824}, interhash = {1c869759972ee65b56dec20a66d032a8}, intrahash = {930f8ff23b5a66e0af3e8dc1443ab025}, issn = {1553-7358}, journal = {PLoS Computational Biology}, keywords = {assortativity, neural-networks brain}, month = sep, number = 9, pages = {e1003796+}, posted-at = {2014-02-21 10:41:34}, priority = {2}, timestamp = {2019-08-01T16:20:35.000+0200}, title = {{Emergence of Assortative Mixing between Clusters of Cultured Neurons}}, url = {http://dx.doi.org/10.1371/journal.pcbi.1003796}, volume = 10, year = 2014 }