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 language | English (US) |
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Pages (from-to) | 1091-1095 |
Number of pages | 5 |
Journal | Neurocomputing |
Volume | 58-60 |
DOIs | |
State | Published - Jun 2004 |
Externally published | Yes |
Keywords
- Digitized neurons
- Neuronal morphology data
- XML application
ASJC Scopus subject areas
- Computer Science Applications
- Cognitive Neuroscience
- Artificial Intelligence