<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ludl AA</submitter><funding>Generalitat de Catalunya</funding><funding>Horizon 2020 Framework Programme</funding><funding>Ministerio de Economía, Industria y Competitividad, Gobierno de España</funding><pagination>77</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7488194</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14</volume><pubmed_abstract>Scaffolds and patterned substrates are among the most successful strategies to dictate the connectivity between neurons in culture. Here, we used numerical simulations to investigate the capacity of physical obstacles placed on a flat substrate to shape structural connectivity, and in turn collective dynamics and effective connectivity, in biologically-realistic neuronal networks. We considered μ-sized obstacles placed in mm-sized networks. Three main obstacle shapes were explored, namely crosses, circles and triangles of isosceles profile. They occupied either a small area fraction of the substrate or populated it entirely in a periodic manner. From the point of view of structure, all obstacles promoted short length-scale connections, shifted the in- and out-degree distributions toward lo</pubmed_abstract><journal>Frontiers in computational neuroscience</journal><pubmed_title>Impact of Physical Obstacles on the Structural and Effective Connectivity of &lt;i>in silico&lt;/i> Neuronal Circuits.</pubmed_title><pmcid>PMC7488194</pmcid><funding_grant_id>713140</funding_grant_id><funding_grant_id>2017-SGR-1061</funding_grant_id><funding_grant_id>FIS2016-78507-C2-2-P</funding_grant_id><funding_grant_id>FIS2017-90782-REDT</funding_grant_id><pubmed_authors>Soriano J</pubmed_authors><pubmed_authors>Ludl AA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Impact of Physical Obstacles on the Structural and Effective Connectivity of &lt;i>in silico&lt;/i> Neuronal Circuits.</name><description>Scaffolds and patterned substrates are among the most successful strategies to dictate the connectivity between neurons in culture. Here, we used numerical simulations to investigate the capacity of physical obstacles placed on a flat substrate to shape structural connectivity, and in turn collective dynamics and effective connectivity, in biologically-realistic neuronal networks. We considered μ-sized obstacles placed in mm-sized networks. Three main obstacle shapes were explored, namely crosses, circles and triangles of isosceles profile. They occupied either a small area fraction of the substrate or populated it entirely in a periodic manner. From the point of view of structure, all obstacles promoted short length-scale connections, shifted the in- and out-degree distributions toward lo</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020</publication><modification>2025-04-20T00:52:47.826Z</modification><creation>2020-09-30T07:03:32Z</creation></dates><accession>S-EPMC7488194</accession><cross_references><pubmed>32982710</pubmed><doi>10.3389/fncom.2020.00077</doi></cross_references></HashMap>