Tools for neuroinformatic data exchange: An XML application for neuronal morphology data

Weihong Qi, Sharon Crook

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

We describe an Extensible Markup Language (XML) application that defines a common data format for the storage and processing of neuronal morphology data. The application, MorphML, is consistent with current neuronal digitization methods and is also compatible with existing simulation software environments for creating compartmental models of neurons based on morphology data. We also describe a tool, nemo2xml, which generates MorphML documents corresponding to digitized neuronal morphology files for one particular data format, the Nevin or binary branch tree syntax.

Original languageEnglish (US)
Pages (from-to)1091-1095
Number of pages5
JournalNeurocomputing
Volume58-60
DOIs
StatePublished - Jun 1 2004
Externally publishedYes

Keywords

  • Digitized neurons
  • Neuronal morphology data
  • XML application

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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