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Bivariate spatial point patterns in the retina: a reproducible review

dc.creatorEglen, Stephen J.
dc.date.accessioned2018-11-24T23:18:49Z
dc.date.available2016-04-15T08:56:23Z
dc.date.available2018-11-24T23:18:49Z
dc.date.issued2016-04-08
dc.identifierhttps://www.repository.cam.ac.uk/handle/1810/254988
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/123456789/3346
dc.description.abstractIn this article I present a reproducible review of recent research to investigate the spatial positioning of neurons in the nervous system. In particular, I focus on the relative spatial positioning of pairs of cell types within the retina. I examine three different cases by which two types of neurons might be arranged relative to each other. (1) Cells of different type might be effectively independent of each other. (2) Cells of one type are randomly assigned one of two labels to create two related populations. (3) Interactions between cells of different type generate functional dependencies. I show briefly how spatial statistic techniques can be applied to investigate the nature of spatial interactions between two cell types. Finally, I have termed this article a ‘reproducible review’ because all the data and computer code are integrated into the manuscript so that others can repeat the analysis presented here. I close the review with a discussion of this concept.
dc.languageen
dc.publisherSociete Française de Statistique
dc.publisherJournal de la Société Française de Statistique
dc.rightshttp://creativecommons.org/licenses/by/2.0/uk/
dc.rightsAttribution 2.0 UK: England & Wales
dc.subjectretinal mosaics
dc.subjectspatial statistics
dc.subjectreproducible research
dc.subjectmathematical modelling
dc.subjectcomputational neuroscience
dc.titleBivariate spatial point patterns in the retina: a reproducible review
dc.typeArticle


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