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Multiplex Network Analysis of Local ...
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Akin, Myles.
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Multiplex Network Analysis of Local Topology in Simulated and In Vitro Spiking Neural Networks.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Multiplex Network Analysis of Local Topology in Simulated and In Vitro Spiking Neural Networks./
Author:
Akin, Myles.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:
93 p.
Notes:
Source: Dissertations Abstracts International, Volume: 79-12, Section: B.
Contained By:
Dissertations Abstracts International79-12B.
Subject:
Neurosciences. -
Online resource:
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:
588700
Neurosciences.
Multiplex Network Analysis of Local Topology in Simulated and In Vitro Spiking Neural Networks.
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Advisor: Guo, Yixin.
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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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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10829058
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