On the Potential of the Excluded Volume and Auto-Correlation as Neuromorphometric Descriptors
classification
❄️ cond-mat.stat-mech
keywords
cellsexcludedpotentialvolumeautocorrelationcellcharacterizationconnectivity
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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.
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