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Data-oriented neuron classification from their parts

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Author(s):
Cervantes, Evelyn Perez ; Comin, Cesar Henrique ; Cesar Junior, Roberto Marcondes ; Costa, Luciano da Fontoura ; IEEE
Total Authors: 5
Document type: Journal article
Source: PROCEEDINGS OF THE 2016 IEEE 12TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE); v. N/A, p. 8-pg., 2016-01-01.
Abstract

The shape of a neuron can reveal many interesting properties about its function. Therefore, organizing neuronal cells into appropriate classes according to their respective shape is a fundamental endeavor in neuroscience. Available online datasets allow new data-oriented approaches to solve such neuroscience problems. Here we analyze the feasibility of classifying neurons according not to their respective wholes, but to its constituent parts. Such a study may reveal interesting insights, including whether parts of the neuronal dendritic arborization preserve proper information about the morphology of the whole neuron. Experimental results using open datasets are reported, thus corroborating our approach. (AU)

FAPESP's process: 11/50761-2 - Models and methods of e-Science for life and agricultural sciences
Grantee:Roberto Marcondes Cesar Junior
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 15/18942-8 - Associating Complex Networks with Effective Feature Spaces
Grantee:Cesar Henrique Comin
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 15/01587-0 - Storage, modeling and analysis of dynamical systems for e-Science applications
Grantee:João Eduardo Ferreira
Support Opportunities: Research Grants - eScience and Data Science Program - Thematic Grants