Stages of neuronal network formation
| العنوان: | Stages of neuronal network formation |
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| المؤلفون: | Josef A. Käs, Thomas Claudepierre, Robert Luxenhofer, Rainer Jordan, Lydia Woiterski |
| المساهمون: | Universität Leipzig [Leipzig], Unité de Recherches Animal et Fonctionnalités des Produits Animaux (URAFPA), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Technische Universität Dresden = Dresden University of Technology (TU Dresden), Université de Lorraine (UL)-Institut National de la Recherche Agronomique (INRA), Technische Universität Dresden (TUD) |
| المصدر: | New Journal of Physics New Journal of Physics, Institute of Physics: Open Access Journals, 2013, 15, pp.025029. ⟨10.1088/1367-2630/15/2/025029⟩ |
| بيانات النشر: | IOP Publishing, 2013. |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | Physics, 0303 health sciences, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, General Physics and Astronomy, Video microscopy, Topology (electrical circuits), Complex network, Topology, Network formation, 03 medical and health sciences, 0302 clinical medicine, Path length, Shortest path problem, Biological neural network, neuronal network formation, ddc:530, Enhanced Data Rates for GSM Evolution, 030217 neurology & neurosurgery, 030304 developmental biology |
| الوصف: | International audience; Graph theoretical approaches have become a powerful tool for investigating the architecture and dynamics of complex networks. The topology of network graphs revealed small-world properties for very different real systems among these neuronal networks. In this study, we observed the early development of mouse retinal ganglion cell (RGC) networks in vitro using time-lapse video microscopy. By means of a time-resolved graph theoretical analysis of the connectivity, shortest path length and the edge length, we were able to discover the different stages during the network formation. Starting from single cells, at the first stage neurons connected to each other ending up in a network with maximum complexity. In the further course, we observed a simplification of the network which manifested in a change of relevant network parameters such as the minimization of the path length. Moreover, we found that RGC networks self-organized as small-world networks at both stages; however, the optimization occurred only in the second stage. |
| تدمد: | 1367-2630 |
| DOI: | 10.1088/1367-2630/15/2/025029 |
| DOI: | 10.1088/1367-2630/15/2/025029⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20c9da2c62f02df8b41710ccd16b7a78 https://doi.org/10.1088/1367-2630/15/2/025029 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....20c9da2c62f02df8b41710ccd16b7a78 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13672630 |
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| DOI: | 10.1088/1367-2630/15/2/025029 |