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    Multitype point process analysis of spines on the dendrite network of a neuron

    Access Status
    Fulltext not available
    Authors
    Baddeley, Adrian
    Jammalamadaka, A.
    Nair, G.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Baddeley, A. and Jammalamadaka, A. and Nair, G. 2014. Multitype point process analysis of spines on the dendrite network of a neuron. Journal of the Royal Statistical Society. Series C: Applied Statistics. 63 (5): pp. 673-694.
    Source Title
    Journal of the Royal Statistical Society. Series C: Applied Statistics
    DOI
    10.1111/rssc.12054
    ISSN
    0035-9254
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/35067
    Collection
    • Curtin Research Publications
    Abstract

    © 2014 Royal Statistical Society. We develop methods for analysing the spatial pattern of events, classified into several types, that occur on a network of lines. The motivation is the study of small protrusions called 'spines' which occur on the dendrite network of a neuron. The spatially varying density of spines is modelled by using relative distributions and regression trees. Spatial correlations are investigated by using counterparts of the K-function and pair correlation function, where the main problem is to compensate for the network geometry. This application illustrates the need for careful analysis of spatial variation in the intensity of points, before assessing any evidence of clustering.

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