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Multiplex Network Analysis of Local ...

Akin, Myles.

Multiplex Network Analysis of Local Topology in Simulated and In Vitro Spiking Neural Networks.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multiplex Network Analysis of Local Topology in Simulated and In Vitro Spiking Neural Networks.
作者:	Akin, Myles.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, 2018
面頁冊數:	93 p.
附註:	Source: Dissertations Abstracts International, Volume: 79-12, Section: B.
附註:	Publisher info.: Dissertation/Thesis.
附註:	Advisor: Guo, Yixin.
Contained By:	Dissertations Abstracts International79-12B.
標題:	Neurosciences.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10829058
ISBN:	9780438081161

Multiplex Network Analysis of Local Topology in Simulated and In Vitro Spiking Neural Networks.
Akin, Myles.

Multiplex Network Analysis of Local Topology in Simulated and In Vitro Spiking Neural Networks. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 93 p.

Source: Dissertations Abstracts International, Volume: 79-12, Section: B.

Thesis (Ph.D.)--Drexel University, 2018.

This item must not be added to any third party search indexes.

Complex networks are important tools for investigating interactions amongst many different types of agents. Recently, the extension of single layer networks to multilayer networks has allowed for multiple types of relationships among the same actors to be represented in a network. In this dissertation, we develop two methods for using a specific type of multilayer network, the multiplex network, to study local topology in neural networks. In the first project, we use multiplex networks to compare the local topology between a simulated structural neural network and its inferred functional networks. For the second project, we use multiplex networks to observe evidence for the self-organization of \extit{in vitro} neural networks into neural ensembles.

ISBN: 9780438081161Subjects--Topical Terms:

211508
Neurosciences.

Multiplex Network Analysis of Local Topology in Simulated and In Vitro Spiking Neural Networks.
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500 $a Source: Dissertations Abstracts International, Volume: 79-12, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
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520 $a Complex networks are important tools for investigating interactions amongst many different types of agents. Recently, the extension of single layer networks to multilayer networks has allowed for multiple types of relationships among the same actors to be represented in a network. In this dissertation, we develop two methods for using a specific type of multilayer network, the multiplex network, to study local topology in neural networks. In the first project, we use multiplex networks to compare the local topology between a simulated structural neural network and its inferred functional networks. For the second project, we use multiplex networks to observe evidence for the self-organization of \extit{in vitro} neural networks into neural ensembles.
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