The neuromorphological caudate-putaminal clustering of neostriate interneurons: Kohonen self-organizing maps and supervised artificial neural networks with multivariate analysis.

Journal: Journal of theoretical biology
PMID: 29162445

Abstract

AIMS: The objective of this study is to investigate the possibility of the neuromorphotopological clustering of neostriate interneurons (NSIN) and their consequent classification into caudate (CIN) and putaminal neuron type (PIN), according to the nuclear localization of the neurons. It tends to discover whether these two topological neuron types are morphologically different.

Authors

  • Ivan Grbatinić
    Laboratory of Digital Image Processing, School of Medicine, University of Belgrade, Serbia. Electronic address: igrbson@gmail.com.
  • Nebojša Milošević
    Laboratory for digital image processing and analysis, Institute for Biophysics, Medical faculty, University of Belgrade, Serbia.
  • Bojana Krstonošić
    Institute of Anatomy, Medical faculty, University of Novi Sad, Serbia.

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