On the Potential of the Excluded Volume and Auto-Correlation as Neuromorphometric Descriptors
Statistical Mechanics
2007-05-23 v1
Abstract
This 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.
Cite
@article{arxiv.cond-mat/0501360,
title = {On the Potential of the Excluded Volume and Auto-Correlation as Neuromorphometric Descriptors},
author = {L. da F. Costa and M. S. Barbosa and V. Coupez},
journal= {arXiv preprint arXiv:cond-mat/0501360},
year = {2007}
}
Comments
15 pages, 6 figures