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Article: On Laplacian spectrum of dendrite trees

TitleOn Laplacian spectrum of dendrite trees
Authors
KeywordsDendrite graphs
Eigenvalue distribution
Graph Laplacian
Retinal ganglion cells
Number of spikesSpike eigenvalues
Issue Date2020
PublisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/laa
Citation
Linear Algebra and Its Applications, 2020, v. 591, p. 215-234 How to Cite?
AbstractFor dendrite graphs from biological experiments on mouse's retinal ganglion cells, a paper by Nakatsukasa, Saito and Woei reveals a mysterious phase transition phenomenon in the spectra of the corresponding graph Laplacian matrices. While the bulk of the spectrum can be well understood by structures resembling starlike trees, mysteries about the spikes, that is, isolated eigenvalues outside the bulk spectrum, remain unexplained. In this paper, we bring new insights on these mysteries by considering a class of uniform trees. Exact relationships between the number of such spikes and the number of T-junctions are analyzed in function of the number of vertices separating the T-junctions. Using these theoretical results, predictions are proposed for the number of spikes observed in real-life dendrite graphs. Interestingly enough, these predictions match well the observed numbers of spikes, thus confirm the practical meaningness of our theoretical results.
Persistent Identifierhttp://hdl.handle.net/10722/290985
ISSN
2023 Impact Factor: 1.0
2023 SCImago Journal Rankings: 0.837
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Y-
dc.contributor.authorYao, J-
dc.date.accessioned2020-11-02T05:49:55Z-
dc.date.available2020-11-02T05:49:55Z-
dc.date.issued2020-
dc.identifier.citationLinear Algebra and Its Applications, 2020, v. 591, p. 215-234-
dc.identifier.issn0024-3795-
dc.identifier.urihttp://hdl.handle.net/10722/290985-
dc.description.abstractFor dendrite graphs from biological experiments on mouse's retinal ganglion cells, a paper by Nakatsukasa, Saito and Woei reveals a mysterious phase transition phenomenon in the spectra of the corresponding graph Laplacian matrices. While the bulk of the spectrum can be well understood by structures resembling starlike trees, mysteries about the spikes, that is, isolated eigenvalues outside the bulk spectrum, remain unexplained. In this paper, we bring new insights on these mysteries by considering a class of uniform trees. Exact relationships between the number of such spikes and the number of T-junctions are analyzed in function of the number of vertices separating the T-junctions. Using these theoretical results, predictions are proposed for the number of spikes observed in real-life dendrite graphs. Interestingly enough, these predictions match well the observed numbers of spikes, thus confirm the practical meaningness of our theoretical results.-
dc.languageeng-
dc.publisherElsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/laa-
dc.relation.ispartofLinear Algebra and Its Applications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectDendrite graphs-
dc.subjectEigenvalue distribution-
dc.subjectGraph Laplacian-
dc.subjectRetinal ganglion cells-
dc.subjectNumber of spikesSpike eigenvalues-
dc.titleOn Laplacian spectrum of dendrite trees-
dc.typeArticle-
dc.identifier.emailYao, J: jeffyao@hku.hk-
dc.identifier.authorityYao, J=rp01473-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.laa.2019.12.046-
dc.identifier.scopuseid_2-s2.0-85077792064-
dc.identifier.hkuros318130-
dc.identifier.volume591-
dc.identifier.spage215-
dc.identifier.epage234-
dc.identifier.isiWOS:000517849200014-
dc.publisher.placeUnited States-
dc.identifier.issnl0024-3795-

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