Modelling columnarity of pyramidal cells in the human cerebral cortex

Andreas Dyreborg Christoffersen, Jesper Møller*, Heidi Søgaard Christensen

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

4 Citationer (Scopus)

Abstract

For modelling the location of pyramidal cells in the human cerebral cortex, we suggest a hierarchical point process in (Formula presented.) that exhibits anisotropy in the form of cylinders extending along the z-axis. The model consists first of a generalised shot noise Cox process for the xy-coordinates, providing cylindrical clusters, and next of a Markov random field model for the z-coordinates conditioned on the xy-coordinates, providing either repulsion, aggregation or both within specified areas of interaction. Several cases of these hierarchical point processes are fitted to two pyramidal cell data sets, and of these a final model allowing for both repulsion and attraction between the points seem adequate. We discuss how the final model relates to the so-called minicolumn hypothesis in neuroscience.

OriginalsprogEngelsk
TidsskriftAustralian and New Zealand Journal of Statistics
Vol/bind63
Udgave nummer1
Sider (fra-til)33-54
Antal sider22
ISSN1369-1473
DOI
StatusUdgivet - mar. 2021

Bibliografisk note

Funding Information:
This work was supported by The Danish Council for Independent Research ? Natural Sciences, grant DFF ? 7014-00074 ?Statistics for point processes in space and beyond?, and by the ?Centre for Stochastic Geometry and Advanced Bioimaging?, funded by grant 8721 from the Villum Foundation. We are thankful to Ali H. Rafati for collecting the data analysed in this paper and to Jens R. Nyengaard and Ninna Vihrs for helpful comments.

Funding Information:
This work was supported by The Danish Council for Independent Research – Natural Sciences, grant DFF – 7014‐00074 ‘Statistics for point processes in space and beyond’, and by the ‘Centre for Stochastic Geometry and Advanced Bioimaging’, funded by grant 8721 from the Villum Foundation. We are thankful to Ali H. Rafati for collecting the data analysed in this paper and to Jens R. Nyengaard and Ninna Vihrs for helpful comments.

Publisher Copyright:
© 2021 John Wiley & Sons Australia, Ltd

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