Academic Journal
Modularity Induced Gating and Delays in Neuronal Networks.
العنوان: | Modularity Induced Gating and Delays in Neuronal Networks. |
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المؤلفون: | Mark Shein-Idelson, Gilad Cohen, Eshel Ben-Jacob, Yael Hanein |
المصدر: | PLoS Computational Biology, Vol 12, Iss 4, p e1004883 (2016) |
بيانات النشر: | Public Library of Science (PLoS), 2016. |
سنة النشر: | 2016 |
المجموعة: | LCC:Biology (General) |
مصطلحات موضوعية: | Biology (General), QH301-705.5 |
الوصف: | Neural networks, despite their highly interconnected nature, exhibit distinctly localized and gated activation. Modularity, a distinctive feature of neural networks, has been recently proposed as an important parameter determining the manner by which networks support activity propagation. Here we use an engineered biological model, consisting of engineered rat cortical neurons, to study the role of modular topology in gating the activity between cell populations. We show that pairs of connected modules support conditional propagation (transmitting stronger bursts with higher probability), long delays and propagation asymmetry. Moreover, large modular networks manifest diverse patterns of both local and global activation. Blocking inhibition decreased activity diversity and replaced it with highly consistent transmission patterns. By independently controlling modularity and disinhibition, experimentally and in a model, we pose that modular topology is an important parameter affecting activation localization and is instrumental for population-level gating by disinhibition. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1553-734X 1553-7358 |
Relation: | http://europepmc.org/articles/PMC4841573?pdf=render; https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358 |
DOI: | 10.1371/journal.pcbi.1004883 |
URL الوصول: | https://doaj.org/article/e72f5c238f9c43469fb421c43409a1e1 |
رقم الانضمام: | edsdoj.72f5c238f9c43469fb421c43409a1e1 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 1553734X 15537358 |
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DOI: | 10.1371/journal.pcbi.1004883 |