On the Potential of the Excluded Volume and Auto-Correlation as Neuromorphometric Descriptors

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dc.creatorCosta, L. da F.
dc.creatorBarbosa, M. S.
dc.creatorCoupez, V.
dc.date2005-01-15
dc.date.accessioned2026-07-07T03:03:16Z
dc.date.available2026-07-07T03:03:16Z
dc.descriptionThis work investigates at what degree two neuromorphometric measurements, namely the autocorrelation and the excluded volume of a neuronal cell can influence the characterization and classification of such a type of cells. While the autocorrelation function presents good potential for quantifying the dendrite-dendrite connectivity of cells in mosaic tilings, the excluded volume, i.e. the amount of the surround space which is geometrically not accessible to an axon or dendrite, provides a complementary characterization of the cell connectivity. The potential of such approaches is illustrated with respect to real neuronal cells.
dc.description15 pages, 6 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0501360
dc.identifierhttp://arxiv.org/abs/cond-mat/0501360
dc.identifierPhysica A 348 (2005) 317-326
dc.identifierdoi:10.1016/j.physa.2004.10.011
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/25689
dc.subjectStatistical Mechanics
dc.titleOn the Potential of the Excluded Volume and Auto-Correlation as Neuromorphometric Descriptors
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