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

DOI10.1016/J.JTBI.2017.11.013zbMath1394.92023OpenAlexW2769901382WikidataQ47601168 ScholiaQ47601168MaRDI QIDQ1752422

Bojana Krstonošić, Ivan Grbatinić, Nebojša T. Milošević

Publication date: 24 May 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2017.11.013

zbMATH Keywords

cluster analysiscaudate-putaminal neuromorphological clusteringKohonen self-organizing mapsneostriate interneuronssupervised artificial neural networks

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Self-organization and associative memory
• Mathematical modelling of transformations of asymmetrically distributed biological data: an application to a quantitative classification of spiny neurons of the human putamen
• Unnamed Item
• Unnamed Item

This page was built for publication: The neuromorphological caudate-putaminal clustering of neostriate interneurons: Kohonen self-organizing maps and supervised artificial neural networks with multivariate analysis