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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Morphological Neuron Classification Based on Dendritic Tree Hierarchy

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Cervantes, Evelyn Perez [1] ; Comin, Cesar Henrique [2] ; Cesar Junior, Roberto Marcondes [1] ; Costa, Luciano da Fontoura [3]
Total Authors: 4
[1] Univ Sao Paulo, Inst Math & Stat, Sao Paulo - Brazil
[2] Univ Fed Sao Carlos, Dept Comp Sci, Sao Carlos, SP - Brazil
[3] Univ Sao Paulo, Sao Carlos Inst Phys, POB 369, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: NEUROINFORMATICS; v. 17, n. 1, p. 147-161, JAN 2019.
Web of Science Citations: 1

The shape of a neuron can reveal interesting properties about its function. Therefore, morphological neuron characterization can contribute to a better understanding of how the brain works. However, one of the great challenges of neuroanatomy is the definition of morphological properties that can be used for categorizing neurons. This paper proposes a new methodology for neuron morphological analysis by considering different hierarchies of the dendritic tree for characterizing and categorizing neuronal cells. The methodology consists in using different strategies for decomposing the dendritic tree along its hierarchies, allowing the identification of relevant parts (possibly related to specific neuronal functions) for classification tasks. A set of more than 5000 neurons corresponding to 10 classes were examined with supervised classification algorithms based on this strategy. It was found that classification accuracies similar to those obtained by using whole neurons can be achieved by considering only parts of the neurons. Branches close to the soma were found to be particularly relevant for classification. (AU)

FAPESP's process: 15/18942-8 - Associating Complex Networks with Effective Feature Spaces
Grantee:Cesar Henrique Comin
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery
Grantee:Roberto Marcondes Cesar Junior
Support type: Research Projects - Thematic Grants